Mercurial > hg > truffle
annotate src/gpu/ptx/vm/gpu_ptx.cpp @ 14057:38c881305352
Move functionality of SpillMoveFactory to FrameMap.
author | Thomas Wuerthinger <thomas.wuerthinger@oracle.com> |
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date | Tue, 25 Feb 2014 17:51:03 +0100 |
parents | 0995dcbd6dd8 |
children | 2d95cf7a29c8 |
rev | line source |
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10879 | 1 /* |
2 * Copyright (c) 2013, Oracle and/or its affiliates. All rights reserved. | |
3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. | |
4 * | |
5 * This code is free software; you can redistribute it and/or modify it | |
6 * under the terms of the GNU General Public License version 2 only, as | |
7 * published by the Free Software Foundation. | |
8 * | |
9 * This code is distributed in the hope that it will be useful, but WITHOUT | |
10 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
11 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
12 * version 2 for more details (a copy is included in the LICENSE file that | |
13 * accompanied this code). | |
14 * | |
15 * You should have received a copy of the GNU General Public License version | |
16 * 2 along with this work; if not, write to the Free Software Foundation, | |
17 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. | |
18 * | |
19 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA | |
20 * or visit www.oracle.com if you need additional information or have any | |
21 * questions. | |
22 * | |
23 */ | |
24 | |
25 #include "precompiled.hpp" | |
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26 #include "runtime/javaCalls.hpp" |
10879 | 27 #include "runtime/gpu.hpp" |
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28 #include "ptx/vm/gpu_ptx.hpp" |
10879 | 29 #include "utilities/globalDefinitions.hpp" |
30 #include "utilities/ostream.hpp" | |
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31 #include "memory/allocation.hpp" |
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32 #include "memory/allocation.inline.hpp" |
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33 #include "memory/gcLocker.inline.hpp" |
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34 #include "runtime/interfaceSupport.hpp" |
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35 #include "runtime/vframe.hpp" |
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36 #include "graal/graalEnv.hpp" |
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37 #include "graal/graalCompiler.hpp" |
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38 |
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39 #define T_BYTE_SIZE 1 |
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40 #define T_BOOLEAN_SIZE 4 |
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41 #define T_INT_BYTE_SIZE 4 |
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42 #define T_FLOAT_BYTE_SIZE 4 |
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43 #define T_DOUBLE_BYTE_SIZE 8 |
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44 #define T_LONG_BYTE_SIZE 8 |
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45 #define T_OBJECT_BYTE_SIZE sizeof(intptr_t) |
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46 #define T_ARRAY_BYTE_SIZE sizeof(intptr_t) |
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48 // Entry to GPU native method implementation that transitions current thread to '_thread_in_vm'. |
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49 #define GPU_VMENTRY(result_type, name, signature) \ |
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50 JNIEXPORT result_type JNICALL name signature { \ |
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51 if (TraceGPUInteraction) tty->print_cr("[CUDA] " #name); \ |
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52 GRAAL_VM_ENTRY_MARK; \ |
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53 |
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54 // Entry to GPU native method implementation that calls a JNI function |
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55 // and hence cannot transition current thread to '_thread_in_vm'. |
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56 #define GPU_ENTRY(result_type, name, signature) \ |
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57 JNIEXPORT result_type JNICALL name signature { \ |
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58 if (TraceGPUInteraction) tty->print_cr("[CUDA] Ptx::" #name); \ |
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59 |
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60 #define GPU_END } |
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61 |
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62 #define CC (char*) /*cast a literal from (const char*)*/ |
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63 #define FN_PTR(f) CAST_FROM_FN_PTR(void*, &(f)) |
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64 |
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65 #define STRING "Ljava/lang/String;" |
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66 |
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67 JNINativeMethod Ptx::PTX_methods[] = { |
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68 {CC"initialize", CC"()Z", FN_PTR(Ptx::initialize)}, |
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69 {CC"generateKernel", CC"([B" STRING ")J", FN_PTR(Ptx::generate_kernel)}, |
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70 {CC"getLaunchKernelAddress", CC"()J", FN_PTR(Ptx::get_execute_kernel_from_vm_address)}, |
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71 {CC"getAvailableProcessors0", CC"()I", FN_PTR(Ptx::get_total_cores)}, |
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72 {CC"destroyContext", CC"()V", FN_PTR(Ptx::destroy_ptx_context)}, |
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73 }; |
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74 |
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75 void * Ptx::_device_context = 0; |
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76 int Ptx::_cu_device = 0; |
10879 | 77 |
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78 Ptx::cuda_cu_init_func_t Ptx::_cuda_cu_init; |
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79 Ptx::cuda_cu_ctx_create_func_t Ptx::_cuda_cu_ctx_create; |
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80 Ptx::cuda_cu_ctx_destroy_func_t Ptx::_cuda_cu_ctx_destroy; |
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81 Ptx::cuda_cu_ctx_synchronize_func_t Ptx::_cuda_cu_ctx_synchronize; |
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82 Ptx::cuda_cu_ctx_get_current_func_t Ptx::_cuda_cu_ctx_get_current; |
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83 Ptx::cuda_cu_ctx_set_current_func_t Ptx::_cuda_cu_ctx_set_current; |
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84 Ptx::cuda_cu_device_get_count_func_t Ptx::_cuda_cu_device_get_count; |
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85 Ptx::cuda_cu_device_get_name_func_t Ptx::_cuda_cu_device_get_name; |
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86 Ptx::cuda_cu_device_get_func_t Ptx::_cuda_cu_device_get; |
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87 Ptx::cuda_cu_device_compute_capability_func_t Ptx::_cuda_cu_device_compute_capability; |
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88 Ptx::cuda_cu_device_get_attribute_func_t Ptx::_cuda_cu_device_get_attribute; |
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89 Ptx::cuda_cu_launch_kernel_func_t Ptx::_cuda_cu_launch_kernel; |
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90 Ptx::cuda_cu_module_get_function_func_t Ptx::_cuda_cu_module_get_function; |
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91 Ptx::cuda_cu_module_load_data_ex_func_t Ptx::_cuda_cu_module_load_data_ex; |
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92 Ptx::cuda_cu_memcpy_htod_func_t Ptx::_cuda_cu_memcpy_htod; |
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93 Ptx::cuda_cu_memcpy_dtoh_func_t Ptx::_cuda_cu_memcpy_dtoh; |
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94 Ptx::cuda_cu_memalloc_func_t Ptx::_cuda_cu_memalloc; |
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95 Ptx::cuda_cu_memfree_func_t Ptx::_cuda_cu_memfree; |
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96 Ptx::cuda_cu_mem_host_register_func_t Ptx::_cuda_cu_mem_host_register; |
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97 Ptx::cuda_cu_mem_host_get_device_pointer_func_t Ptx::_cuda_cu_mem_host_get_device_pointer; |
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98 Ptx::cuda_cu_mem_host_unregister_func_t Ptx::_cuda_cu_mem_host_unregister; |
10879 | 99 |
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100 #define STRINGIFY(x) #x |
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101 |
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102 #define LOOKUP_CUDA_FUNCTION(name, alias) \ |
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103 _##alias = \ |
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104 CAST_TO_FN_PTR(alias##_func_t, os::dll_lookup(handle, STRINGIFY(name))); \ |
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105 if (_##alias == NULL) { \ |
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106 tty->print_cr("[CUDA] ***** Error: Failed to lookup %s", STRINGIFY(name)); \ |
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107 return false; \ |
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108 } \ |
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109 |
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110 #define LOOKUP_CUDA_V2_FUNCTION(name, alias) LOOKUP_CUDA_FUNCTION(name##_v2, alias) |
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111 |
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112 /* |
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113 * see http://en.wikipedia.org/wiki/CUDA#Supported_GPUs |
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114 */ |
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115 int Ptx::ncores(int major, int minor) { |
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116 int device_type = (major << 4) + minor; |
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117 |
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118 switch (device_type) { |
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119 case 0x10: return 8; |
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120 case 0x11: return 8; |
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121 case 0x12: return 8; |
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122 case 0x13: return 8; |
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123 case 0x20: return 32; |
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124 case 0x21: return 48; |
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125 case 0x30: return 192; |
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126 case 0x35: return 192; |
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127 default: |
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128 tty->print_cr("[CUDA] Warning: Unhandled device %x", device_type); |
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129 return 0; |
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130 } |
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131 } |
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132 |
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133 bool Ptx::register_natives(JNIEnv* env) { |
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134 jclass klass = env->FindClass("com/oracle/graal/hotspot/ptx/PTXHotSpotBackend"); |
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135 if (klass == NULL) { |
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136 if (TraceGPUInteraction) { |
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137 tty->print_cr("PTXHotSpotBackend class not found"); |
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138 } |
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139 return false; |
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140 } |
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141 jint status = env->RegisterNatives(klass, PTX_methods, sizeof(PTX_methods) / sizeof(JNINativeMethod)); |
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142 if (status != JNI_OK) { |
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143 if (true || TraceGPUInteraction) { |
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144 tty->print_cr("Error registering natives for PTXHotSpotBackend: %d", status); |
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145 } |
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146 return false; |
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147 } |
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148 return true; |
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149 } |
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150 |
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151 GPU_ENTRY(jboolean, Ptx::initialize, (JNIEnv *env, jclass)) |
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152 |
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153 if (!link()) { |
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154 return false; |
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155 } |
10879 | 156 |
157 /* Initialize CUDA driver API */ | |
158 int status = _cuda_cu_init(0); | |
159 if (status != GRAAL_CUDA_SUCCESS) { | |
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160 if (TraceGPUInteraction) { |
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161 tty->print_cr("Failed to initialize CUDA device: %d", status); |
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162 } |
10879 | 163 return false; |
164 } | |
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165 |
10879 | 166 if (TraceGPUInteraction) { |
167 tty->print_cr("CUDA driver initialization: Success"); | |
168 } | |
169 | |
170 /* Get the number of compute-capable device count */ | |
171 int device_count = 0; | |
172 status = _cuda_cu_device_get_count(&device_count); | |
173 if (status != GRAAL_CUDA_SUCCESS) { | |
174 tty->print_cr("[CUDA] Failed to get compute-capable device count"); | |
175 return false; | |
176 } | |
177 | |
178 if (device_count == 0) { | |
179 tty->print_cr("[CUDA] Found no device supporting CUDA"); | |
180 return false; | |
181 } | |
182 | |
183 if (TraceGPUInteraction) { | |
184 tty->print_cr("[CUDA] Number of compute-capable devices found: %d", device_count); | |
185 } | |
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186 |
10879 | 187 /* Get the handle to the first compute device */ |
188 int device_id = 0; | |
189 /* Compute-capable device handle */ | |
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190 status = _cuda_cu_device_get(&_cu_device, device_id); |
10879 | 191 |
192 if (status != GRAAL_CUDA_SUCCESS) { | |
193 tty->print_cr("[CUDA] Failed to get handle of first compute-capable device i.e., the one at ordinal: %d", device_id); | |
194 return false; | |
195 } | |
196 | |
197 if (TraceGPUInteraction) { | |
198 tty->print_cr("[CUDA] Got the handle of first compute-device"); | |
199 } | |
200 | |
201 /* Get device attributes */ | |
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202 int minor, major; |
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203 int unified_addressing; |
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204 float version = 0.0; |
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205 |
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206 /* Get the compute capability of the device found */ |
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207 status = _cuda_cu_device_get_attribute(&minor, GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, _cu_device); |
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208 if (status != GRAAL_CUDA_SUCCESS) { |
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209 tty->print_cr("[CUDA] Failed to get minor attribute of device: %d", _cu_device); |
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210 return false; |
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211 } |
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212 status = _cuda_cu_device_get_attribute(&major, GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, _cu_device); |
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213 if (status != GRAAL_CUDA_SUCCESS) { |
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214 tty->print_cr("[CUDA] Failed to get major attribute of device: %d", _cu_device); |
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215 return false; |
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216 } |
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217 |
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218 /* Check if the device supports atleast GRAAL_SUPPORTED_COMPUTE_CAPABILITY_VERSION */ |
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219 version = (float) major + ((float) minor)/10; |
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220 |
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221 if (version < GRAAL_SUPPORTED_COMPUTE_CAPABILITY_VERSION) { |
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222 tty->print_cr("[CUDA] Only cuda compute capability %.1f and later supported. Device %d supports %.1f", |
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223 (float) GRAAL_SUPPORTED_COMPUTE_CAPABILITY_VERSION, _cu_device, version); |
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224 return false; |
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225 } |
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226 |
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227 if (TraceGPUInteraction) { |
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228 tty->print_cr("[CUDA] Device %d supports cuda compute capability %.1f", _cu_device, version); |
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229 } |
10879 | 230 |
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231 status = _cuda_cu_device_get_attribute(&unified_addressing, GRAAL_CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING, _cu_device); |
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232 |
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233 if (status != GRAAL_CUDA_SUCCESS) { |
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234 tty->print_cr("[CUDA] Failed to query unified addressing mode of device: %d", _cu_device); |
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235 return false; |
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236 } |
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237 |
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238 if (TraceGPUInteraction) { |
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239 tty->print_cr("[CUDA] Device %d %s unified addressing support", _cu_device, |
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240 ((unified_addressing == 0) ? "does not have" : "has")); |
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241 } |
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242 |
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243 |
10879 | 244 /* Get device name */ |
245 char device_name[256]; | |
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246 status = _cuda_cu_device_get_name(device_name, 256, _cu_device); |
10879 | 247 |
248 if (status != GRAAL_CUDA_SUCCESS) { | |
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249 tty->print_cr("[CUDA] Failed to get name of device: %d", _cu_device); |
10879 | 250 return false; |
251 } | |
252 | |
253 if (TraceGPUInteraction) { | |
254 tty->print_cr("[CUDA] Using %s", device_name); | |
255 } | |
256 | |
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257 // Create CUDA context to compile and execute the kernel |
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258 |
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259 status = _cuda_cu_ctx_create(&_device_context, GRAAL_CU_CTX_MAP_HOST, _cu_device); |
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260 |
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261 if (status != GRAAL_CUDA_SUCCESS) { |
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262 tty->print_cr("[CUDA] Failed to create CUDA context for device(%d): %d", _cu_device, status); |
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263 return false; |
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264 } |
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265 if (TraceGPUInteraction) { |
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266 tty->print_cr("[CUDA] Success: Created context for device: %d", _cu_device); |
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267 } |
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268 |
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269 gpu::initialized_gpu(device_name); |
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270 |
10879 | 271 return true; |
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272 GPU_END |
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274 GPU_ENTRY(jint, Ptx::get_total_cores, (JNIEnv *env, jobject)) |
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275 |
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276 int minor, major, nmp; |
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277 int status = _cuda_cu_device_get_attribute(&minor, |
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278 GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, |
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279 _cu_device); |
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280 |
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281 if (status != GRAAL_CUDA_SUCCESS) { |
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282 tty->print_cr("[CUDA] Failed to get minor attribute of device: %d", _cu_device); |
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283 return 0; |
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284 } |
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285 |
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286 status = _cuda_cu_device_get_attribute(&major, |
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287 GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, |
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288 _cu_device); |
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289 |
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290 if (status != GRAAL_CUDA_SUCCESS) { |
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291 tty->print_cr("[CUDA] Failed to get major attribute of device: %d", _cu_device); |
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292 return 0; |
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293 } |
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294 |
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295 status = _cuda_cu_device_get_attribute(&nmp, |
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296 GRAAL_CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, |
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297 _cu_device); |
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298 |
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299 if (status != GRAAL_CUDA_SUCCESS) { |
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300 tty->print_cr("[CUDA] Failed to get number of MPs on device: %d", _cu_device); |
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301 return 0; |
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302 } |
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303 |
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304 int total = nmp * ncores(major, minor); |
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305 |
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306 int max_threads_per_block, warp_size, async_engines, can_map_host_memory, concurrent_kernels; |
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307 |
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308 status = _cuda_cu_device_get_attribute(&max_threads_per_block, |
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309 GRAAL_CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK, |
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310 _cu_device); |
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311 |
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312 if (status != GRAAL_CUDA_SUCCESS) { |
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313 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK: %d", _cu_device); |
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314 return 0; |
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315 } |
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316 |
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317 status = _cuda_cu_device_get_attribute(&warp_size, |
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318 GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE, |
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319 _cu_device); |
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320 |
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321 if (status != GRAAL_CUDA_SUCCESS) { |
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322 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE: %d", _cu_device); |
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323 return 0; |
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324 } |
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* PTX kernel argument buffer now has naturally aligned arguments as required by PTX JIT compiler.
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325 |
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326 status = _cuda_cu_device_get_attribute(&async_engines, |
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327 GRAAL_CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT, |
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328 _cu_device); |
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329 |
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330 if (status != GRAAL_CUDA_SUCCESS) { |
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331 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE: %d", _cu_device); |
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332 return 0; |
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333 } |
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334 |
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335 status = _cuda_cu_device_get_attribute(&can_map_host_memory, |
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336 GRAAL_CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY, |
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337 _cu_device); |
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338 |
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339 if (status != GRAAL_CUDA_SUCCESS) { |
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340 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY: %d", _cu_device); |
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341 return 0; |
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342 } |
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343 |
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344 status = _cuda_cu_device_get_attribute(&concurrent_kernels, |
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345 GRAAL_CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS, |
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346 _cu_device); |
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347 |
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348 if (status != GRAAL_CUDA_SUCCESS) { |
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349 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS: %d", _cu_device); |
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350 return 0; |
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351 } |
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352 |
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353 if (TraceGPUInteraction) { |
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354 tty->print_cr("[CUDA] Number of cores: %d async engines: %d can map host mem: %d concurrent kernels: %d", |
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355 total, async_engines, can_map_host_memory, concurrent_kernels); |
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356 tty->print_cr("[CUDA] Max threads per block: %d warp size: %d", max_threads_per_block, warp_size); |
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357 } |
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358 return total; |
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359 GPU_END |
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360 |
13888
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361 GPU_ENTRY(jlong, Ptx::generate_kernel, (JNIEnv *env, jclass, jbyteArray code_handle, jstring name_handle)) |
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362 ResourceMark rm; |
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363 jsize name_len = env->GetStringLength(name_handle); |
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364 jsize code_len = env->GetArrayLength(code_handle); |
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* PTX kernel argument buffer now has naturally aligned arguments as required by PTX JIT compiler.
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365 |
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366 char* name = NEW_RESOURCE_ARRAY(char, name_len + 1); |
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367 unsigned char *code = NEW_RESOURCE_ARRAY(unsigned char, code_len + 1); |
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368 |
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369 code[code_len] = 0; |
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370 name[name_len] = 0; |
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371 |
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372 env->GetByteArrayRegion(code_handle, 0, code_len, (jbyte*) code); |
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373 env->GetStringUTFRegion(name_handle, 0, name_len, name); |
10879 | 374 |
375 struct CUmod_st * cu_module; | |
376 // Use three JIT compiler options | |
377 const unsigned int jit_num_options = 3; | |
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378 int *jit_options = NEW_RESOURCE_ARRAY(int, jit_num_options); |
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379 void **jit_option_values = NEW_RESOURCE_ARRAY(void *, jit_num_options); |
10879 | 380 |
381 // Set up PTX JIT compiler options | |
382 // 1. set size of compilation log buffer | |
383 int jit_log_buffer_size = 1024; | |
384 jit_options[0] = GRAAL_CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES; | |
385 jit_option_values[0] = (void *)(size_t)jit_log_buffer_size; | |
386 | |
387 // 2. set pointer to compilation log buffer | |
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388 char *jit_log_buffer = NEW_RESOURCE_ARRAY(char, jit_log_buffer_size); |
10879 | 389 jit_options[1] = GRAAL_CU_JIT_INFO_LOG_BUFFER; |
390 jit_option_values[1] = jit_log_buffer; | |
391 | |
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392 // 3. set pointer to set the maximum number of registers (32) for the kernel |
10879 | 393 int jit_register_count = 32; |
394 jit_options[2] = GRAAL_CU_JIT_MAX_REGISTERS; | |
395 jit_option_values[2] = (void *)(size_t)jit_register_count; | |
396 | |
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Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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397 // Set CUDA context to compile and execute the kernel |
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398 |
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Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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399 if (_device_context == NULL) { |
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400 tty->print_cr("[CUDA] Encountered uninitialized CUDA context for device(%d)", _cu_device); |
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Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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401 return 0L; |
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402 } |
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403 |
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Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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404 int status = _cuda_cu_ctx_set_current(_device_context); |
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Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
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405 |
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Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
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406 if (status != GRAAL_CUDA_SUCCESS) { |
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407 tty->print_cr("[CUDA] Failed to set current context for device: %d", _cu_device); |
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408 return 0L; |
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409 } |
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Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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410 |
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Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
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411 if (TraceGPUInteraction) { |
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Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
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412 tty->print_cr("[CUDA] Success: Set current context for device: %d", _cu_device); |
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413 tty->print_cr("[CUDA] PTX Kernel\n%s", code); |
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Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
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414 tty->print_cr("[CUDA] Function name : %s", name); |
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Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
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415 } |
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Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
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416 |
10879 | 417 /* Load module's data with compiler options */ |
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418 status = _cuda_cu_module_load_data_ex(&cu_module, (void*) code, jit_num_options, |
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419 jit_options, (void **)jit_option_values); |
10879 | 420 if (status != GRAAL_CUDA_SUCCESS) { |
421 if (status == GRAAL_CUDA_ERROR_NO_BINARY_FOR_GPU) { | |
422 tty->print_cr("[CUDA] Check for malformed PTX kernel or incorrect PTX compilation options"); | |
423 } | |
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424 tty->print_cr("[CUDA] *** Error (%d) Failed to load module data with online compiler options for method %s", |
10879 | 425 status, name); |
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426 return 0L; |
10879 | 427 } |
428 | |
429 if (TraceGPUInteraction) { | |
430 tty->print_cr("[CUDA] Loaded data for PTX Kernel"); | |
431 } | |
432 | |
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433 struct CUfunc_st* cu_function; |
10879 | 434 status = _cuda_cu_module_get_function(&cu_function, cu_module, name); |
435 | |
436 if (status != GRAAL_CUDA_SUCCESS) { | |
11283
1cd1f8ff70a1
CR-20: PTX kernel invocation with arguments - from Bharadwaj
Morris Meyer <morris.meyer@oracle.com>
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437 tty->print_cr("[CUDA] *** Error: Failed to get function %s", name); |
13819
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438 return 0L; |
10879 | 439 } |
440 | |
441 if (TraceGPUInteraction) { | |
13683
de839ec35cc7
schedule lambda method compilation and execution on GPU (PTX) when possible; fix a couple of bugs.
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diff
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442 tty->print_cr("[CUDA] Got function handle for %s kernel address %p", name, cu_function); |
10879 | 443 } |
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added support for co-existing GPU backends (JBS:GRAAL-1)
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444 return (jlong) cu_function; |
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445 GPU_END |
10879 | 446 |
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447 // A PtxCall is used to manage executing a GPU kernel. In addition to launching |
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448 // the kernel, this class releases resources allocated for the execution. |
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449 class PtxCall: StackObj { |
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450 private: |
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451 JavaThread* _thread; // the thread on which this call is made |
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452 address _buffer; // buffer containing parameters and _return_value |
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453 int _buffer_size; // size (in bytes) of _buffer |
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454 oop* _pinned; // objects that have been pinned with cuMemHostRegister |
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455 int _pinned_length; // length of _pinned |
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456 Ptx::CUdeviceptr _ret_value; // pointer to slot in GPU memory holding the return value |
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457 int _ret_type_size; // size of the return type value |
80cd5c3b8827
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|
458 bool _ret_is_object; // specifies if the return type is Object |
13848
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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13834
diff
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|
459 bool _gc_locked; // denotes when execution has locked GC |
13753
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partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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460 |
80cd5c3b8827
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461 bool check(int status, const char *action) { |
80cd5c3b8827
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462 if (status != GRAAL_CUDA_SUCCESS) { |
80cd5c3b8827
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parents:
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|
463 Thread* THREAD = _thread; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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464 char* message = NEW_RESOURCE_ARRAY_IN_THREAD(THREAD, char, O_BUFLEN + 1); |
80cd5c3b8827
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|
465 jio_snprintf(message, O_BUFLEN, "[CUDA] *** Error (status=%d): %s", status, action); |
13833
fe99bfb55626
disable printing of CUDA errors unless TraceGPUInteraction is enabled
Doug Simon <doug.simon@oracle.com>
parents:
13832
diff
changeset
|
466 if (TraceGPUInteraction) { |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
467 tty->print_cr(message); |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
468 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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469 if (!HAS_PENDING_EXCEPTION) { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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470 SharedRuntime::throw_and_post_jvmti_exception(_thread, vmSymbols::java_lang_RuntimeException(), message); |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
471 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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472 return false; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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473 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
474 if (TraceGPUInteraction) { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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parents:
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|
475 tty->print_cr("[CUDA] Success: %s", action); |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
476 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
477 return true; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
478 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
479 |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
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diff
changeset
|
480 public: |
13832
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
13819
diff
changeset
|
481 PtxCall(JavaThread* thread, address buffer, int buffer_size, oop* pinned, int encodedReturnTypeSize) : _thread(thread), _gc_locked(false), |
13753
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partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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482 _buffer(buffer), _buffer_size(buffer_size), _pinned(pinned), _pinned_length(0), _ret_value(0), _ret_is_object(encodedReturnTypeSize < 0) { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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483 _ret_type_size = _ret_is_object ? -encodedReturnTypeSize : encodedReturnTypeSize; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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484 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
485 |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
486 bool is_object_return() { return _ret_is_object; } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
487 |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
488 void alloc_return_value() { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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diff
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|
489 if (_ret_type_size != 0) { |
13888
51584f76462d
pulled Ptx and Hsail classes out of gpu class namespace
Doug Simon <doug.simon@oracle.com>
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diff
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|
490 if (check(Ptx::_cuda_cu_memalloc(&_ret_value, _ret_type_size), "Allocate device memory for return value")) { |
51584f76462d
pulled Ptx and Hsail classes out of gpu class namespace
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parents:
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491 Ptx::CUdeviceptr* retValuePtr = (Ptx::CUdeviceptr*) ((_buffer + _buffer_size) - sizeof(_ret_value)); |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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492 *retValuePtr = _ret_value; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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493 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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494 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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495 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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496 |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
497 void pin_objects(int count, int* objectOffsets) { |
80cd5c3b8827
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498 if (count == 0) { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
499 return; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
500 } |
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501 // Once we start pinning objects, no GC must occur |
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502 // until the kernel has completed. This is a big |
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503 // hammer for ensuring we can safely pass objects |
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504 // to the GPU. |
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505 GC_locker::lock_critical(_thread); |
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506 _gc_locked = true; |
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507 if (TraceGPUInteraction) { |
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508 tty->print_cr("[CUDA] Locked GC"); |
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509 } |
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510 |
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511 for (int i = 0; i < count; i++) { |
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512 int offset = objectOffsets[i]; |
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513 oop* argPtr = (oop*) (_buffer + offset); |
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514 oop obj = *argPtr; |
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515 if (obj != NULL) { |
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516 // Size (in bytes) of object |
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517 int objSize = obj->size() * HeapWordSize; |
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518 //tty->print_cr("Pinning object %d at offset %d: %p", i, offset, obj); |
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519 if (!check(Ptx::_cuda_cu_mem_host_register(obj, objSize, GRAAL_CU_MEMHOSTREGISTER_DEVICEMAP), "Pin object")) { |
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520 return; |
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521 } |
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522 |
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523 // Record original oop so that its memory can be unpinned |
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524 _pinned[_pinned_length++] = obj; |
80cd5c3b8827
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525 |
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526 // Replace host pointer to object with device pointer |
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527 // to object in kernel parameters buffer |
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528 if (!check(Ptx::_cuda_cu_mem_host_get_device_pointer((Ptx::CUdeviceptr*) argPtr, obj, 0), "Get device pointer for pinned object")) { |
13753
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529 return; |
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530 } |
80cd5c3b8827
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531 } |
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532 } |
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533 } |
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534 |
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535 void launch(address kernel, jint dimX, jint dimY, jint dimZ) { |
80cd5c3b8827
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536 // grid dimensionality |
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537 unsigned int gridX = 1; |
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538 unsigned int gridY = 1; |
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539 unsigned int gridZ = 1; |
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540 void * config[] = { |
80cd5c3b8827
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541 GRAAL_CU_LAUNCH_PARAM_BUFFER_POINTER, (char*) (address) _buffer, |
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542 GRAAL_CU_LAUNCH_PARAM_BUFFER_SIZE, &_buffer_size, |
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543 GRAAL_CU_LAUNCH_PARAM_END |
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544 }; |
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545 if (check(Ptx::_cuda_cu_launch_kernel((struct CUfunc_st*) (address) kernel, |
13753
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546 gridX, gridY, gridZ, |
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547 dimX, dimY, dimZ, |
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parents:
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|
548 0, NULL, NULL, (void**) &config), "Launch kernel")) { |
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549 } |
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|
550 } |
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551 |
80cd5c3b8827
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|
552 void synchronize() { |
13888
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changeset
|
553 check(Ptx::_cuda_cu_ctx_synchronize(), "Synchronize kernel"); |
13753
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|
554 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
555 |
80cd5c3b8827
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|
556 void unpin_objects() { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
557 while (_pinned_length > 0) { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
558 oop obj = _pinned[--_pinned_length]; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
559 assert(obj != NULL, "npe"); |
80cd5c3b8827
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changeset
|
560 //tty->print_cr("Unpinning object %d: %p", _pinned_length, obj); |
13888
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parents:
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diff
changeset
|
561 if (!check(Ptx::_cuda_cu_mem_host_unregister(obj), "Unpin object")) { |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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|
562 return; |
80cd5c3b8827
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changeset
|
563 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
564 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
565 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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parents:
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changeset
|
566 |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
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changeset
|
567 oop get_object_return_value() { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
568 oop return_val; |
13888
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Doug Simon <doug.simon@oracle.com>
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changeset
|
569 check(Ptx::_cuda_cu_memcpy_dtoh(&return_val, _ret_value, T_OBJECT_BYTE_SIZE), "Copy return value from device"); |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
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|
570 return return_val; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
571 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
572 |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
573 jlong get_primitive_return_value() { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
574 jlong return_val; |
13888
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Doug Simon <doug.simon@oracle.com>
parents:
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diff
changeset
|
575 check(Ptx::_cuda_cu_memcpy_dtoh(&return_val, _ret_value, _ret_type_size), "Copy return value from device"); |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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parents:
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changeset
|
576 return return_val; |
80cd5c3b8827
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Doug Simon <doug.simon@oracle.com>
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changeset
|
577 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
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changeset
|
578 |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
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changeset
|
579 void free_return_value() { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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diff
changeset
|
580 if (_ret_value != 0) { |
13888
51584f76462d
pulled Ptx and Hsail classes out of gpu class namespace
Doug Simon <doug.simon@oracle.com>
parents:
13851
diff
changeset
|
581 check(Ptx::_cuda_cu_memfree(_ret_value), "Free device memory"); |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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changeset
|
582 _ret_value = 0; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
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diff
changeset
|
583 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
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|
584 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
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diff
changeset
|
585 |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
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changeset
|
586 ~PtxCall() { |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
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changeset
|
587 unpin_objects(); |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
diff
changeset
|
588 free_return_value(); |
13832
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
13819
diff
changeset
|
589 if (_gc_locked) { |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
13819
diff
changeset
|
590 GC_locker::unlock_critical(_thread); |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
13819
diff
changeset
|
591 if (TraceGPUInteraction) { |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
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diff
changeset
|
592 tty->print_cr("[CUDA] Unlocked GC"); |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
13819
diff
changeset
|
593 } |
13848
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
parents:
13834
diff
changeset
|
594 _gc_locked = false; |
13832
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
13819
diff
changeset
|
595 } |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
diff
changeset
|
596 } |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
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changeset
|
597 }; |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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598 |
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599 // Prints values in the kernel arguments buffer |
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600 class KernelArgumentsPrinter: public SignatureIterator { |
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601 Method* _method; |
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602 address _buffer; |
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603 size_t _bufferOffset; |
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604 outputStream* _st; |
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605 |
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606 private: |
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607 |
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608 // Get next java argument |
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609 oop next_arg(BasicType expectedType); |
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610 |
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611 public: |
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612 KernelArgumentsPrinter(Method* method, address buffer, outputStream* st) : SignatureIterator(method->signature()), |
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613 _method(method), _buffer(buffer), _bufferOffset(0), _st(st) { |
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614 if (!method->is_static()) { |
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615 print_oop(); |
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616 } |
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617 iterate(); |
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618 } |
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619 |
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620 address next(size_t dataSz) { |
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621 if (is_return_type()) { |
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622 return _buffer; |
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623 } |
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624 if (_bufferOffset != 0) { |
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625 _st->print(", "); |
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626 } |
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627 _bufferOffset = align_size_up_(_bufferOffset, dataSz); |
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628 address result = _buffer + _bufferOffset; |
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629 _bufferOffset += dataSz; |
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630 return result; |
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631 } |
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632 |
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633 void print_oop() { |
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634 oop obj = *((oop*) next(sizeof(oop))); |
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635 if (obj != NULL) { |
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636 char type[256]; |
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637 obj->klass()->name()->as_C_string(type, 256); |
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b3e69d1f5da0
fixed non-PRODUCT build compilation error
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638 _st->print("oop "PTR_FORMAT" (%s)", (address) obj, type); |
13848
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639 } else { |
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640 _st->print("oop null"); |
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641 } |
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642 } |
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|
643 |
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644 bool skip() { |
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645 return is_return_type(); |
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646 } |
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removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
647 |
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648 void do_bool () { if (!skip()) _st->print("bool %d", *((jboolean*) next(sizeof(jboolean)))); } |
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649 void do_char () { if (!skip()) _st->print("char %c", *((jchar*) next(sizeof(jchar)))); } |
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650 void do_float () { if (!skip()) _st->print("float %g", *((jfloat*) next(sizeof(jfloat)))); } |
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removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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651 void do_double() { if (!skip()) _st->print("double %g", *((jdouble*) next(sizeof(jdouble)))); } |
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652 void do_byte () { if (!skip()) _st->print("byte %d", *((jbyte*) next(sizeof(jbyte)))); } |
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|
653 void do_short () { if (!skip()) _st->print("short %d", *((jshort*) next(sizeof(jshort)))); } |
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removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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654 void do_int () { if (!skip()) _st->print("int %d", *((jint*) next(sizeof(jint)))); } |
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removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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655 void do_long () { if (!skip()) _st->print("long "JLONG_FORMAT, *((jlong*) next(sizeof(jlong)))); } |
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removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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656 void do_void () { } |
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removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
657 void do_object(int begin, int end) { if (!skip()) print_oop(); } |
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removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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658 void do_array (int begin, int end) { if (!skip()) print_oop(); } |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
659 }; |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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diff
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|
660 |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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diff
changeset
|
661 static void printKernelArguments(JavaThread* thread, address buffer) { |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
662 for (vframeStream vfst(thread); !vfst.at_end(); vfst.next()) { |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
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|
663 Method* m = vfst.method(); |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
664 if (m != NULL) { |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
665 stringStream st(O_BUFLEN); |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
666 st.print("[CUDA] Call: %s.%s(", m->method_holder()->name()->as_C_string(), m->name()->as_C_string()); |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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changeset
|
667 KernelArgumentsPrinter kap(m, buffer, &st); |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
668 tty->print_cr("%s)", st.as_string()); |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
669 return; |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
670 } |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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diff
changeset
|
671 } |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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changeset
|
672 } |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
parents:
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diff
changeset
|
673 |
13922
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
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diff
changeset
|
674 GPU_VMENTRY(void, Ptx::destroy_ptx_context, (void)) |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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parents:
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diff
changeset
|
675 if (_device_context != NULL) { |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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diff
changeset
|
676 int status = _cuda_cu_ctx_destroy(_device_context); |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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diff
changeset
|
677 if (status != GRAAL_CUDA_SUCCESS) { |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
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changeset
|
678 if (TraceGPUInteraction) { |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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changeset
|
679 tty->print_cr("[CUDA] Error(%d) : Failed to destroy context", status); |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
13888
diff
changeset
|
680 } |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
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diff
changeset
|
681 _device_context = NULL; |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
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diff
changeset
|
682 } else { |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
13888
diff
changeset
|
683 if (TraceGPUInteraction) { |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
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diff
changeset
|
684 tty->print_cr("[CUDA] Destroyed context", status); |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
13888
diff
changeset
|
685 } |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
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parents:
13888
diff
changeset
|
686 } |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
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diff
changeset
|
687 } |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
13888
diff
changeset
|
688 |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
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diff
changeset
|
689 GPU_END |
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
13888
diff
changeset
|
690 |
13888
51584f76462d
pulled Ptx and Hsail classes out of gpu class namespace
Doug Simon <doug.simon@oracle.com>
parents:
13851
diff
changeset
|
691 GPU_VMENTRY(jlong, Ptx::get_execute_kernel_from_vm_address, (JNIEnv *env, jclass)) |
51584f76462d
pulled Ptx and Hsail classes out of gpu class namespace
Doug Simon <doug.simon@oracle.com>
parents:
13851
diff
changeset
|
692 return (jlong) Ptx::execute_kernel_from_vm; |
13819
49db2c1e3bee
added support for co-existing GPU backends (JBS:GRAAL-1)
Doug Simon <doug.simon@oracle.com>
parents:
13753
diff
changeset
|
693 GPU_END |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
diff
changeset
|
694 |
13888
51584f76462d
pulled Ptx and Hsail classes out of gpu class namespace
Doug Simon <doug.simon@oracle.com>
parents:
13851
diff
changeset
|
695 JRT_ENTRY(jlong, Ptx::execute_kernel_from_vm(JavaThread* thread, jlong kernel, jint dimX, jint dimY, jint dimZ, |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
diff
changeset
|
696 jlong buffer, |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
diff
changeset
|
697 jint bufferSize, |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
diff
changeset
|
698 jint objectParametersCount, |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
diff
changeset
|
699 jlong objectParametersOffsets, |
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
Doug Simon <doug.simon@oracle.com>
parents:
13683
diff
changeset
|
700 jlong pinnedObjects, |
13648
27acedac70b7
added support for @ParallelOver annotation in PTX kernel call wrapper
Doug Simon <doug.simon@oracle.com>
parents:
13624
diff
changeset
|
701 int encodedReturnTypeSize)) |
13624
220ed109bf77
initial code for calling PTX kernel code from Java with parameter marshaling and return value unmarshaling performed by a wrapper specified via manual graph construction
Doug Simon <doug.simon@oracle.com>
parents:
12653
diff
changeset
|
702 if (kernel == 0L) { |
220ed109bf77
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703 SharedRuntime::throw_and_post_jvmti_exception(thread, vmSymbols::java_lang_NullPointerException(), NULL); |
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704 return 0L; |
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705 } |
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706 |
13848
b97e2515d392
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707 if (TraceGPUInteraction) { |
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708 printKernelArguments(thread, (address) buffer); |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
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709 } |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
710 |
13753
80cd5c3b8827
partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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diff
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|
711 PtxCall call(thread, (address) buffer, bufferSize, (oop*) (address) pinnedObjects, encodedReturnTypeSize); |
13624
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712 |
13753
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713 #define TRY(action) do { \ |
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714 action; \ |
80cd5c3b8827
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715 if (HAS_PENDING_EXCEPTION) return 0L; \ |
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partially fixed passing of object parameters to PTX kernels; use a C++ object for managing resource allocation and cleanup around a PTX kernel execution
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716 } while (0) |
13624
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717 |
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|
718 TRY(call.alloc_return_value()); |
13624
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719 |
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720 TRY(call.pin_objects(objectParametersCount, (int*) (address) objectParametersOffsets)); |
80cd5c3b8827
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721 |
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722 TRY(call.launch((address) kernel, dimX, dimY, dimZ)); |
13624
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723 |
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724 TRY(call.synchronize()); |
13624
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725 |
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726 if (call.is_object_return()) { |
80cd5c3b8827
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|
727 oop return_val; |
80cd5c3b8827
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728 TRY(return_val = call.get_object_return_value()); |
80cd5c3b8827
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|
729 thread->set_vm_result(return_val); |
13624
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730 return 0L; |
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731 } |
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|
732 |
13753
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733 jlong return_val; |
80cd5c3b8827
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|
734 TRY(return_val = call.get_primitive_return_value()); |
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735 return return_val; |
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|
736 |
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|
737 #undef TRY |
13624
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738 |
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739 JRT_END |
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740 |
10879 | 741 #if defined(LINUX) |
13922
0995dcbd6dd8
Change CUDA context management to support multiple executions of a kernel. Exclude GPU offloading of lambdas from java.* library code.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
13888
diff
changeset
|
742 static const char cuda_library_name[] = "/usr/lib/libcuda.so"; |
10879 | 743 #elif defined(__APPLE__) |
744 static char const cuda_library_name[] = "/usr/local/cuda/lib/libcuda.dylib"; | |
745 #else | |
746 static char const cuda_library_name[] = ""; | |
747 #endif | |
748 | |
13888
51584f76462d
pulled Ptx and Hsail classes out of gpu class namespace
Doug Simon <doug.simon@oracle.com>
parents:
13851
diff
changeset
|
749 bool Ptx::link() { |
13819
49db2c1e3bee
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750 if (cuda_library_name == NULL) { |
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751 if (TraceGPUInteraction) { |
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752 tty->print_cr("Failed to find CUDA linkage"); |
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753 } |
49db2c1e3bee
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754 return false; |
49db2c1e3bee
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|
755 } |
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|
756 char ebuf[O_BUFLEN]; |
49db2c1e3bee
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757 void *handle = os::dll_load(cuda_library_name, ebuf, O_BUFLEN); |
49db2c1e3bee
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|
758 if (handle == NULL) { |
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759 if (TraceGPUInteraction) { |
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changeset
|
760 tty->print_cr("Unsupported CUDA platform: %s", ebuf); |
49db2c1e3bee
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761 } |
49db2c1e3bee
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762 return false; |
49db2c1e3bee
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diff
changeset
|
763 } |
10882
6a2d65cb5d7d
fix: gpu_ptx.cpp did not compile on windows
Christian Wirth <christian.wirth@oracle.com>
parents:
10879
diff
changeset
|
764 |
13819
49db2c1e3bee
added support for co-existing GPU backends (JBS:GRAAL-1)
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changeset
|
765 LOOKUP_CUDA_FUNCTION(cuInit, cuda_cu_init); |
49db2c1e3bee
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changeset
|
766 LOOKUP_CUDA_FUNCTION(cuCtxSynchronize, cuda_cu_ctx_synchronize); |
49db2c1e3bee
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changeset
|
767 LOOKUP_CUDA_FUNCTION(cuCtxGetCurrent, cuda_cu_ctx_get_current); |
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|
768 LOOKUP_CUDA_FUNCTION(cuCtxSetCurrent, cuda_cu_ctx_set_current); |
49db2c1e3bee
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diff
changeset
|
769 LOOKUP_CUDA_FUNCTION(cuDeviceGetCount, cuda_cu_device_get_count); |
49db2c1e3bee
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changeset
|
770 LOOKUP_CUDA_FUNCTION(cuDeviceGetName, cuda_cu_device_get_name); |
49db2c1e3bee
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diff
changeset
|
771 LOOKUP_CUDA_FUNCTION(cuDeviceGet, cuda_cu_device_get); |
49db2c1e3bee
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changeset
|
772 LOOKUP_CUDA_FUNCTION(cuDeviceComputeCapability, cuda_cu_device_compute_capability); |
49db2c1e3bee
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diff
changeset
|
773 LOOKUP_CUDA_FUNCTION(cuDeviceGetAttribute, cuda_cu_device_get_attribute); |
49db2c1e3bee
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changeset
|
774 LOOKUP_CUDA_FUNCTION(cuModuleGetFunction, cuda_cu_module_get_function); |
49db2c1e3bee
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|
775 LOOKUP_CUDA_FUNCTION(cuModuleLoadDataEx, cuda_cu_module_load_data_ex); |
49db2c1e3bee
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changeset
|
776 LOOKUP_CUDA_FUNCTION(cuLaunchKernel, cuda_cu_launch_kernel); |
49db2c1e3bee
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|
777 LOOKUP_CUDA_FUNCTION(cuMemHostRegister, cuda_cu_mem_host_register); |
49db2c1e3bee
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|
778 LOOKUP_CUDA_FUNCTION(cuMemHostUnregister, cuda_cu_mem_host_unregister); |
12653
1a7e7011a341
* PTX kernel argument buffer now has naturally aligned arguments as required by PTX JIT compiler.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
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12519
diff
changeset
|
779 #if defined(__x86_64) || defined(AMD64) || defined(_M_AMD64) |
13819
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changeset
|
780 LOOKUP_CUDA_V2_FUNCTION(cuCtxCreate, cuda_cu_ctx_create); |
49db2c1e3bee
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diff
changeset
|
781 LOOKUP_CUDA_V2_FUNCTION(cuCtxDestroy, cuda_cu_ctx_destroy); |
49db2c1e3bee
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|
782 LOOKUP_CUDA_V2_FUNCTION(cuMemAlloc, cuda_cu_memalloc); |
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|
783 LOOKUP_CUDA_V2_FUNCTION(cuMemFree, cuda_cu_memfree); |
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diff
changeset
|
784 LOOKUP_CUDA_V2_FUNCTION(cuMemcpyHtoD, cuda_cu_memcpy_htod); |
49db2c1e3bee
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changeset
|
785 LOOKUP_CUDA_V2_FUNCTION(cuMemcpyDtoH, cuda_cu_memcpy_dtoh); |
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|
786 LOOKUP_CUDA_V2_FUNCTION(cuMemHostGetDevicePointer, cuda_cu_mem_host_get_device_pointer); |
12653
1a7e7011a341
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S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
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diff
changeset
|
787 #else |
13819
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|
788 LOOKUP_CUDA_FUNCTION(cuCtxCreate, cuda_cu_ctx_create); |
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changeset
|
789 LOOKUP_CUDA_FUNCTION(cuCtxDestroy, cuda_cu_ctx_destroy); |
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|
790 LOOKUP_CUDA_FUNCTION(cuMemAlloc, cuda_cu_memalloc); |
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|
791 LOOKUP_CUDA_FUNCTION(cuMemFree, cuda_cu_memfree); |
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|
792 LOOKUP_CUDA_FUNCTION(cuMemcpyHtoD, cuda_cu_memcpy_htod); |
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diff
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|
793 LOOKUP_CUDA_FUNCTION(cuMemcpyDtoH, cuda_cu_memcpy_dtoh); |
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changeset
|
794 LOOKUP_CUDA_FUNCTION(cuMemHostGetDevicePointer, cuda_cu_mem_host_get_device_pointer); |
12653
1a7e7011a341
* PTX kernel argument buffer now has naturally aligned arguments as required by PTX JIT compiler.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
12519
diff
changeset
|
795 #endif |
11485
49bb1bc983c6
Implement several missing PTX codegen features; return value capture and method args passing of java method executed on GPU.
bharadwaj
parents:
11284
diff
changeset
|
796 |
13819
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|
797 if (TraceGPUInteraction) { |
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|
798 tty->print_cr("[CUDA] Success: library linkage"); |
10879 | 799 } |
13819
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|
800 return true; |
10879 | 801 } |