Mercurial > hg > truffle
annotate src/gpu/ptx/vm/gpu_ptx.cpp @ 13848:b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
author | Doug Simon <doug.simon@oracle.com> |
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date | Fri, 31 Jan 2014 16:05:37 +0100 |
parents | 4ca607fc94e0 |
children | b3e69d1f5da0 |
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" |
28 #include "utilities/globalDefinitions.hpp" | |
29 #include "utilities/ostream.hpp" | |
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30 #include "memory/allocation.hpp" |
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31 #include "memory/allocation.inline.hpp" |
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32 #include "memory/gcLocker.inline.hpp" |
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33 #include "runtime/interfaceSupport.hpp" |
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34 #include "runtime/vframe.hpp" |
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35 #include "graal/graalEnv.hpp" |
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36 #include "graal/graalCompiler.hpp" |
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37 |
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38 #define T_BYTE_SIZE 1 |
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39 #define T_BOOLEAN_SIZE 4 |
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40 #define T_INT_BYTE_SIZE 4 |
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41 #define T_FLOAT_BYTE_SIZE 4 |
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42 #define T_DOUBLE_BYTE_SIZE 8 |
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43 #define T_LONG_BYTE_SIZE 8 |
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44 #define T_OBJECT_BYTE_SIZE sizeof(intptr_t) |
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45 #define T_ARRAY_BYTE_SIZE sizeof(intptr_t) |
10879 | 46 |
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47 // Entry to GPU native method implementation that transitions current thread to '_thread_in_vm'. |
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48 #define GPU_VMENTRY(result_type, name, signature) \ |
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49 JNIEXPORT result_type JNICALL name signature { \ |
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50 GRAAL_VM_ENTRY_MARK; \ |
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51 |
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52 // Entry to GPU native method implementation that calls a JNI function |
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53 // and hence cannot transition current thread to '_thread_in_vm'. |
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54 #define GPU_ENTRY(result_type, name, signature) \ |
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55 JNIEXPORT result_type JNICALL name signature { \ |
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56 |
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57 #define GPU_END } |
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58 |
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59 #define CC (char*) /*cast a literal from (const char*)*/ |
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60 #define FN_PTR(f) CAST_FROM_FN_PTR(void*, &(f)) |
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61 |
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62 #define STRING "Ljava/lang/String;" |
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63 |
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64 JNINativeMethod gpu::Ptx::PTX_methods[] = { |
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65 {CC"initialize", CC"()Z", FN_PTR(gpu::Ptx::initialize)}, |
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66 {CC"generateKernel", CC"([B" STRING ")J", FN_PTR(gpu::Ptx::generate_kernel)}, |
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67 {CC"getLaunchKernelAddress", CC"()J", FN_PTR(gpu::Ptx::get_execute_kernel_from_vm_address)}, |
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68 {CC"getAvailableProcessors0", CC"()I", FN_PTR(gpu::Ptx::get_total_cores)}, |
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69 }; |
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70 |
10879 | 71 void * gpu::Ptx::_device_context; |
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72 int gpu::Ptx::_cu_device = 0; |
10879 | 73 |
74 gpu::Ptx::cuda_cu_init_func_t gpu::Ptx::_cuda_cu_init; | |
75 gpu::Ptx::cuda_cu_ctx_create_func_t gpu::Ptx::_cuda_cu_ctx_create; | |
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76 gpu::Ptx::cuda_cu_ctx_destroy_func_t gpu::Ptx::_cuda_cu_ctx_destroy; |
10879 | 77 gpu::Ptx::cuda_cu_ctx_synchronize_func_t gpu::Ptx::_cuda_cu_ctx_synchronize; |
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78 gpu::Ptx::cuda_cu_ctx_get_current_func_t gpu::Ptx::_cuda_cu_ctx_get_current; |
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79 gpu::Ptx::cuda_cu_ctx_set_current_func_t gpu::Ptx::_cuda_cu_ctx_set_current; |
10879 | 80 gpu::Ptx::cuda_cu_device_get_count_func_t gpu::Ptx::_cuda_cu_device_get_count; |
81 gpu::Ptx::cuda_cu_device_get_name_func_t gpu::Ptx::_cuda_cu_device_get_name; | |
82 gpu::Ptx::cuda_cu_device_get_func_t gpu::Ptx::_cuda_cu_device_get; | |
83 gpu::Ptx::cuda_cu_device_compute_capability_func_t gpu::Ptx::_cuda_cu_device_compute_capability; | |
84 gpu::Ptx::cuda_cu_device_get_attribute_func_t gpu::Ptx::_cuda_cu_device_get_attribute; | |
85 gpu::Ptx::cuda_cu_launch_kernel_func_t gpu::Ptx::_cuda_cu_launch_kernel; | |
86 gpu::Ptx::cuda_cu_module_get_function_func_t gpu::Ptx::_cuda_cu_module_get_function; | |
87 gpu::Ptx::cuda_cu_module_load_data_ex_func_t gpu::Ptx::_cuda_cu_module_load_data_ex; | |
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88 gpu::Ptx::cuda_cu_memcpy_htod_func_t gpu::Ptx::_cuda_cu_memcpy_htod; |
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89 gpu::Ptx::cuda_cu_memcpy_dtoh_func_t gpu::Ptx::_cuda_cu_memcpy_dtoh; |
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90 gpu::Ptx::cuda_cu_memalloc_func_t gpu::Ptx::_cuda_cu_memalloc; |
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91 gpu::Ptx::cuda_cu_memfree_func_t gpu::Ptx::_cuda_cu_memfree; |
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92 gpu::Ptx::cuda_cu_mem_host_register_func_t gpu::Ptx::_cuda_cu_mem_host_register; |
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93 gpu::Ptx::cuda_cu_mem_host_get_device_pointer_func_t gpu::Ptx::_cuda_cu_mem_host_get_device_pointer; |
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94 gpu::Ptx::cuda_cu_mem_host_unregister_func_t gpu::Ptx::_cuda_cu_mem_host_unregister; |
10879 | 95 |
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96 #define STRINGIFY(x) #x |
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97 |
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98 #define LOOKUP_CUDA_FUNCTION(name, alias) \ |
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99 _##alias = \ |
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100 CAST_TO_FN_PTR(alias##_func_t, os::dll_lookup(handle, STRINGIFY(name))); \ |
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101 if (_##alias == NULL) { \ |
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102 tty->print_cr("[CUDA] ***** Error: Failed to lookup %s", STRINGIFY(name)); \ |
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103 return false; \ |
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104 } \ |
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105 |
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106 #define LOOKUP_CUDA_V2_FUNCTION(name, alias) LOOKUP_CUDA_FUNCTION(name##_v2, alias) |
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107 |
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108 /* |
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109 * see http://en.wikipedia.org/wiki/CUDA#Supported_GPUs |
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110 */ |
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111 int gpu::Ptx::ncores(int major, int minor) { |
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112 int device_type = (major << 4) + minor; |
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113 |
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114 switch (device_type) { |
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115 case 0x10: return 8; |
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116 case 0x11: return 8; |
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117 case 0x12: return 8; |
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118 case 0x13: return 8; |
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119 case 0x20: return 32; |
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120 case 0x21: return 48; |
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121 case 0x30: return 192; |
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122 case 0x35: return 192; |
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123 default: |
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124 tty->print_cr("[CUDA] Warning: Unhandled device %x", device_type); |
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125 return 0; |
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126 } |
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127 } |
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128 |
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129 bool gpu::Ptx::register_natives(JNIEnv* env) { |
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130 jclass klass = env->FindClass("com/oracle/graal/hotspot/ptx/PTXHotSpotBackend"); |
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131 if (klass == NULL) { |
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132 if (TraceGPUInteraction) { |
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133 tty->print_cr("PTXHotSpotBackend class not found"); |
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134 } |
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135 return false; |
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136 } |
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137 jint status = env->RegisterNatives(klass, PTX_methods, sizeof(PTX_methods) / sizeof(JNINativeMethod)); |
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138 if (status != JNI_OK) { |
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139 if (TraceGPUInteraction) { |
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140 tty->print_cr("Error registering natives for PTXHotSpotBackend: %d", status); |
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141 } |
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142 return false; |
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143 } |
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144 return true; |
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145 } |
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146 |
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147 GPU_ENTRY(jboolean, gpu::Ptx::initialize, (JNIEnv *env, jclass)) |
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148 |
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149 if (!link()) { |
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150 return false; |
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151 } |
10879 | 152 |
153 /* Initialize CUDA driver API */ | |
154 int status = _cuda_cu_init(0); | |
155 if (status != GRAAL_CUDA_SUCCESS) { | |
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156 if (TraceGPUInteraction) { |
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157 tty->print_cr("Failed to initialize CUDA device: %d", status); |
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158 } |
10879 | 159 return false; |
160 } | |
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161 |
10879 | 162 if (TraceGPUInteraction) { |
163 tty->print_cr("CUDA driver initialization: Success"); | |
164 } | |
165 | |
166 /* Get the number of compute-capable device count */ | |
167 int device_count = 0; | |
168 status = _cuda_cu_device_get_count(&device_count); | |
169 if (status != GRAAL_CUDA_SUCCESS) { | |
170 tty->print_cr("[CUDA] Failed to get compute-capable device count"); | |
171 return false; | |
172 } | |
173 | |
174 if (device_count == 0) { | |
175 tty->print_cr("[CUDA] Found no device supporting CUDA"); | |
176 return false; | |
177 } | |
178 | |
179 if (TraceGPUInteraction) { | |
180 tty->print_cr("[CUDA] Number of compute-capable devices found: %d", device_count); | |
181 } | |
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182 |
10879 | 183 /* Get the handle to the first compute device */ |
184 int device_id = 0; | |
185 /* Compute-capable device handle */ | |
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186 status = _cuda_cu_device_get(&_cu_device, device_id); |
10879 | 187 |
188 if (status != GRAAL_CUDA_SUCCESS) { | |
189 tty->print_cr("[CUDA] Failed to get handle of first compute-capable device i.e., the one at ordinal: %d", device_id); | |
190 return false; | |
191 } | |
192 | |
193 if (TraceGPUInteraction) { | |
194 tty->print_cr("[CUDA] Got the handle of first compute-device"); | |
195 } | |
196 | |
197 /* Get device attributes */ | |
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198 int minor, major; |
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199 int unified_addressing; |
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200 float version = 0.0; |
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201 |
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202 /* Get the compute capability of the device found */ |
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203 status = _cuda_cu_device_get_attribute(&minor, GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, _cu_device); |
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204 if (status != GRAAL_CUDA_SUCCESS) { |
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205 tty->print_cr("[CUDA] Failed to get minor attribute of device: %d", _cu_device); |
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206 return false; |
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207 } |
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208 status = _cuda_cu_device_get_attribute(&major, GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, _cu_device); |
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209 if (status != GRAAL_CUDA_SUCCESS) { |
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210 tty->print_cr("[CUDA] Failed to get major attribute of device: %d", _cu_device); |
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211 return false; |
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212 } |
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213 |
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214 /* Check if the device supports atleast GRAAL_SUPPORTED_COMPUTE_CAPABILITY_VERSION */ |
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215 version = (float) major + ((float) minor)/10; |
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216 |
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217 if (version < GRAAL_SUPPORTED_COMPUTE_CAPABILITY_VERSION) { |
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218 tty->print_cr("[CUDA] Only cuda compute capability 3.0 and later supported. Device %d supports %.1f", |
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219 _cu_device, version); |
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220 return false; |
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221 } |
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222 |
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223 if (TraceGPUInteraction) { |
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224 tty->print_cr("[CUDA] Device %d supports cuda compute capability %.1f", _cu_device, version); |
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225 } |
10879 | 226 |
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227 status = _cuda_cu_device_get_attribute(&unified_addressing, GRAAL_CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING, _cu_device); |
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228 |
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229 if (status != GRAAL_CUDA_SUCCESS) { |
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230 tty->print_cr("[CUDA] Failed to query unified addressing mode of device: %d", _cu_device); |
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231 return false; |
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232 } |
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233 |
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234 if (TraceGPUInteraction) { |
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235 tty->print_cr("[CUDA] Device %d %s unified addressing support", _cu_device, |
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236 ((unified_addressing == 0) ? "does not have" : "has")); |
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237 } |
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238 |
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239 |
10879 | 240 /* Get device name */ |
241 char device_name[256]; | |
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242 status = _cuda_cu_device_get_name(device_name, 256, _cu_device); |
10879 | 243 |
244 if (status != GRAAL_CUDA_SUCCESS) { | |
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245 tty->print_cr("[CUDA] Failed to get name of device: %d", _cu_device); |
10879 | 246 return false; |
247 } | |
248 | |
249 if (TraceGPUInteraction) { | |
250 tty->print_cr("[CUDA] Using %s", device_name); | |
251 } | |
252 | |
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253 gpu::initialized_gpu(device_name); |
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254 |
10879 | 255 return true; |
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256 GPU_END |
10879 | 257 |
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258 GPU_ENTRY(jint, gpu::Ptx::get_total_cores, (JNIEnv *env, jobject)) |
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259 |
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260 int minor, major, nmp; |
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261 int status = _cuda_cu_device_get_attribute(&minor, |
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262 GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, |
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263 _cu_device); |
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264 |
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265 if (status != GRAAL_CUDA_SUCCESS) { |
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266 tty->print_cr("[CUDA] Failed to get minor attribute of device: %d", _cu_device); |
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267 return 0; |
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268 } |
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269 |
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270 status = _cuda_cu_device_get_attribute(&major, |
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271 GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, |
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272 _cu_device); |
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273 |
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274 if (status != GRAAL_CUDA_SUCCESS) { |
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275 tty->print_cr("[CUDA] Failed to get major attribute of device: %d", _cu_device); |
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276 return 0; |
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277 } |
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278 |
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279 status = _cuda_cu_device_get_attribute(&nmp, |
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280 GRAAL_CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, |
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281 _cu_device); |
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282 |
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283 if (status != GRAAL_CUDA_SUCCESS) { |
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284 tty->print_cr("[CUDA] Failed to get number of MPs on device: %d", _cu_device); |
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285 return 0; |
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286 } |
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287 |
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288 int total = nmp * ncores(major, minor); |
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289 |
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290 int max_threads_per_block, warp_size, async_engines, can_map_host_memory, concurrent_kernels; |
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291 |
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292 status = _cuda_cu_device_get_attribute(&max_threads_per_block, |
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293 GRAAL_CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK, |
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294 _cu_device); |
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295 |
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296 if (status != GRAAL_CUDA_SUCCESS) { |
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297 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK: %d", _cu_device); |
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298 return 0; |
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299 } |
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300 |
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301 status = _cuda_cu_device_get_attribute(&warp_size, |
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302 GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE, |
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303 _cu_device); |
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304 |
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305 if (status != GRAAL_CUDA_SUCCESS) { |
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306 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE: %d", _cu_device); |
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307 return 0; |
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308 } |
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309 |
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310 status = _cuda_cu_device_get_attribute(&async_engines, |
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311 GRAAL_CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT, |
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312 _cu_device); |
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313 |
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314 if (status != GRAAL_CUDA_SUCCESS) { |
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315 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE: %d", _cu_device); |
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316 return 0; |
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317 } |
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318 |
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319 status = _cuda_cu_device_get_attribute(&can_map_host_memory, |
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320 GRAAL_CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY, |
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321 _cu_device); |
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322 |
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323 if (status != GRAAL_CUDA_SUCCESS) { |
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324 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY: %d", _cu_device); |
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325 return 0; |
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326 } |
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327 |
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328 status = _cuda_cu_device_get_attribute(&concurrent_kernels, |
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329 GRAAL_CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS, |
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330 _cu_device); |
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331 |
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332 if (status != GRAAL_CUDA_SUCCESS) { |
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333 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS: %d", _cu_device); |
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334 return 0; |
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335 } |
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336 |
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337 if (TraceGPUInteraction) { |
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338 tty->print_cr("[CUDA] Number of cores: %d async engines: %d can map host mem: %d concurrent kernels: %d", |
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339 total, async_engines, can_map_host_memory, concurrent_kernels); |
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340 tty->print_cr("[CUDA] Max threads per block: %d warp size: %d", max_threads_per_block, warp_size); |
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341 } |
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342 return total; |
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343 GPU_END |
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344 |
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345 GPU_ENTRY(jlong, gpu::Ptx::generate_kernel, (JNIEnv *env, jclass, jbyteArray code_handle, jstring name_handle)) |
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346 ResourceMark rm; |
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347 jsize name_len = env->GetStringLength(name_handle); |
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348 jsize code_len = env->GetArrayLength(code_handle); |
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349 |
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350 char* name = NEW_RESOURCE_ARRAY(char, name_len + 1); |
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351 unsigned char *code = NEW_RESOURCE_ARRAY(unsigned char, code_len + 1); |
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352 |
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353 code[code_len] = 0; |
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354 name[name_len] = 0; |
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355 |
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356 env->GetByteArrayRegion(code_handle, 0, code_len, (jbyte*) code); |
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357 env->GetStringUTFRegion(name_handle, 0, name_len, name); |
10879 | 358 |
359 struct CUmod_st * cu_module; | |
360 // Use three JIT compiler options | |
361 const unsigned int jit_num_options = 3; | |
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362 int *jit_options = NEW_RESOURCE_ARRAY(int, jit_num_options); |
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363 void **jit_option_values = NEW_RESOURCE_ARRAY(void *, jit_num_options); |
10879 | 364 |
365 // Set up PTX JIT compiler options | |
366 // 1. set size of compilation log buffer | |
367 int jit_log_buffer_size = 1024; | |
368 jit_options[0] = GRAAL_CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES; | |
369 jit_option_values[0] = (void *)(size_t)jit_log_buffer_size; | |
370 | |
371 // 2. set pointer to compilation log buffer | |
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372 char *jit_log_buffer = NEW_RESOURCE_ARRAY(char, jit_log_buffer_size); |
10879 | 373 jit_options[1] = GRAAL_CU_JIT_INFO_LOG_BUFFER; |
374 jit_option_values[1] = jit_log_buffer; | |
375 | |
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376 // 3. set pointer to set the maximum number of registers (32) for the kernel |
10879 | 377 int jit_register_count = 32; |
378 jit_options[2] = GRAAL_CU_JIT_MAX_REGISTERS; | |
379 jit_option_values[2] = (void *)(size_t)jit_register_count; | |
380 | |
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381 // Create CUDA context to compile and execute the kernel |
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382 int status = _cuda_cu_ctx_create(&_device_context, GRAAL_CU_CTX_MAP_HOST, _cu_device); |
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383 |
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384 if (status != GRAAL_CUDA_SUCCESS) { |
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385 tty->print_cr("[CUDA] Failed to create CUDA context for device(%d): %d", _cu_device, status); |
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386 return 0L; |
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387 } |
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388 if (TraceGPUInteraction) { |
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389 tty->print_cr("[CUDA] Success: Created context for device: %d", _cu_device); |
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390 } |
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391 |
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392 status = _cuda_cu_ctx_set_current(_device_context); |
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393 |
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394 if (status != GRAAL_CUDA_SUCCESS) { |
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395 tty->print_cr("[CUDA] Failed to set current context for device: %d", _cu_device); |
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396 return 0L; |
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397 } |
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398 if (TraceGPUInteraction) { |
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399 tty->print_cr("[CUDA] Success: Set current context for device: %d", _cu_device); |
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400 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.
bharadwaj
parents:
11485
diff
changeset
|
401 tty->print_cr("[CUDA] Function name : %s", name); |
c99e65785936
Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
bharadwaj
parents:
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402 } |
c99e65785936
Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
bharadwaj
parents:
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|
403 |
10879 | 404 /* Load module's data with compiler options */ |
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
|
405 status = _cuda_cu_module_load_data_ex(&cu_module, (void*) code, jit_num_options, |
13819
49db2c1e3bee
added support for co-existing GPU backends (JBS:GRAAL-1)
Doug Simon <doug.simon@oracle.com>
parents:
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|
406 jit_options, (void **)jit_option_values); |
10879 | 407 if (status != GRAAL_CUDA_SUCCESS) { |
408 if (status == GRAAL_CUDA_ERROR_NO_BINARY_FOR_GPU) { | |
409 tty->print_cr("[CUDA] Check for malformed PTX kernel or incorrect PTX compilation options"); | |
410 } | |
11527
c99e65785936
Improvements to PTX codegen; allows more PTX tests that run on the device to pass.
bharadwaj
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|
411 tty->print_cr("[CUDA] *** Error (%d) Failed to load module data with online compiler options for method %s", |
10879 | 412 status, name); |
13819
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added support for co-existing GPU backends (JBS:GRAAL-1)
Doug Simon <doug.simon@oracle.com>
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413 return 0L; |
10879 | 414 } |
415 | |
416 if (TraceGPUInteraction) { | |
417 tty->print_cr("[CUDA] Loaded data for PTX Kernel"); | |
418 } | |
419 | |
13819
49db2c1e3bee
added support for co-existing GPU backends (JBS:GRAAL-1)
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420 struct CUfunc_st* cu_function; |
10879 | 421 status = _cuda_cu_module_get_function(&cu_function, cu_module, name); |
422 | |
423 if (status != GRAAL_CUDA_SUCCESS) { | |
11283
1cd1f8ff70a1
CR-20: PTX kernel invocation with arguments - from Bharadwaj
Morris Meyer <morris.meyer@oracle.com>
parents:
10884
diff
changeset
|
424 tty->print_cr("[CUDA] *** Error: Failed to get function %s", name); |
13819
49db2c1e3bee
added support for co-existing GPU backends (JBS:GRAAL-1)
Doug Simon <doug.simon@oracle.com>
parents:
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|
425 return 0L; |
10879 | 426 } |
427 | |
428 if (TraceGPUInteraction) { | |
13683
de839ec35cc7
schedule lambda method compilation and execution on GPU (PTX) when possible; fix a couple of bugs.
S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
parents:
13655
diff
changeset
|
429 tty->print_cr("[CUDA] Got function handle for %s kernel address %p", name, cu_function); |
10879 | 430 } |
13819
49db2c1e3bee
added support for co-existing GPU backends (JBS:GRAAL-1)
Doug Simon <doug.simon@oracle.com>
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|
431 return (jlong) cu_function; |
49db2c1e3bee
added support for co-existing GPU backends (JBS:GRAAL-1)
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432 GPU_END |
10879 | 433 |
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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434 // A PtxCall is used to manage executing a GPU kernel. In addition to launching |
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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435 // the kernel, this class releases resources allocated for the execution. |
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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436 class PtxCall: StackObj { |
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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437 private: |
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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438 JavaThread* _thread; // the thread on which this call is made |
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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439 address _buffer; // buffer containing parameters and _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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440 int _buffer_size; // size (in bytes) of _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
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441 oop* _pinned; // objects that have been pinned with cuMemHostRegister |
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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442 int _pinned_length; // length of _pinned |
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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443 gpu::Ptx::CUdeviceptr _ret_value; // pointer to slot in GPU memory holding the 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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444 int _ret_type_size; // size of the return type 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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|
445 bool _ret_is_object; // specifies if the return type is Object |
13848
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
parents:
13834
diff
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446 bool _gc_locked; // denotes when execution has locked GC |
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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447 |
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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448 bool check(int status, const char *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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449 if (status != GRAAL_CUDA_SUCCESS) { |
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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450 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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451 char* message = NEW_RESOURCE_ARRAY_IN_THREAD(THREAD, char, O_BUFLEN + 1); |
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
|
452 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
|
453 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
Doug Simon <doug.simon@oracle.com>
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|
454 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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parents:
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|
455 } |
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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|
456 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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457 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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parents:
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458 } |
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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459 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
Doug Simon <doug.simon@oracle.com>
parents:
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|
460 } |
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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|
461 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
Doug Simon <doug.simon@oracle.com>
parents:
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|
462 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
Doug Simon <doug.simon@oracle.com>
parents:
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|
463 } |
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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464 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
Doug Simon <doug.simon@oracle.com>
parents:
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465 } |
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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|
466 |
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
|
467 public: |
13832
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
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diff
changeset
|
468 PtxCall(JavaThread* thread, address buffer, int buffer_size, oop* pinned, int encodedReturnTypeSize) : _thread(thread), _gc_locked(false), |
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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469 _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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470 _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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parents:
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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
Doug Simon <doug.simon@oracle.com>
parents:
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changeset
|
472 |
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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|
473 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
Doug Simon <doug.simon@oracle.com>
parents:
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changeset
|
474 |
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
|
475 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
Doug Simon <doug.simon@oracle.com>
parents:
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changeset
|
476 if (_ret_type_size != 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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|
477 if (check(gpu::Ptx::_cuda_cu_memalloc(&_ret_value, _ret_type_size), "Allocate device memory for 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
Doug Simon <doug.simon@oracle.com>
parents:
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|
478 gpu::Ptx::CUdeviceptr* retValuePtr = (gpu::Ptx::CUdeviceptr*) ((_buffer + _buffer_size) - sizeof(_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
Doug Simon <doug.simon@oracle.com>
parents:
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479 *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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parents:
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480 } |
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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|
481 } |
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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|
482 } |
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
|
483 |
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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|
484 void pin_objects(int count, int* objectOffsets) { |
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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|
485 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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parents:
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|
486 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
Doug Simon <doug.simon@oracle.com>
parents:
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changeset
|
487 } |
13832
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
13819
diff
changeset
|
488 // Once we start pinning objects, no GC must occur |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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parents:
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489 // until the kernel has completed. This is a big |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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|
490 // hammer for ensuring we can safely pass objects |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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parents:
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|
491 // to the GPU. |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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492 GC_locker::lock_critical(_thread); |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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493 _gc_locked = true; |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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parents:
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|
494 if (TraceGPUInteraction) { |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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parents:
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diff
changeset
|
495 tty->print_cr("[CUDA] Locked GC"); |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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13819
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|
496 } |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
Doug Simon <doug.simon@oracle.com>
parents:
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changeset
|
497 |
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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|
498 for (int i = 0; i < count; i++) { |
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 int offset = objectOffsets[i]; |
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 oop* argPtr = (oop*) (_buffer + offset); |
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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|
501 oop obj = *argPtr; |
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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|
502 if (obj != NULL) { |
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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|
503 // Size (in bytes) of 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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13683
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changeset
|
504 int objSize = obj->size() * HeapWordSize; |
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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505 //tty->print_cr("Pinning object %d at offset %d: %p", i, offset, obj); |
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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506 if (!check(gpu::Ptx::_cuda_cu_mem_host_register(obj, objSize, GRAAL_CU_MEMHOSTREGISTER_DEVICEMAP), "Pin 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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507 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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508 } |
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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|
509 |
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
|
510 // Record original oop so that its memory can be unpinned |
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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|
511 _pinned[_pinned_length++] = obj; |
80cd5c3b8827
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512 |
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513 // Replace host pointer to object with device pointer |
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514 // to object in kernel parameters buffer |
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515 if (!check(gpu::Ptx::_cuda_cu_mem_host_get_device_pointer((gpu::Ptx::CUdeviceptr*) argPtr, obj, 0), "Get device pointer for pinned object")) { |
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516 return; |
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517 } |
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518 } |
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519 } |
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520 } |
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521 |
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522 void launch(address kernel, jint dimX, jint dimY, jint dimZ) { |
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523 // grid dimensionality |
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524 unsigned int gridX = 1; |
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525 unsigned int gridY = 1; |
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526 unsigned int gridZ = 1; |
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527 void * config[] = { |
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528 GRAAL_CU_LAUNCH_PARAM_BUFFER_POINTER, (char*) (address) _buffer, |
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529 GRAAL_CU_LAUNCH_PARAM_BUFFER_SIZE, &_buffer_size, |
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530 GRAAL_CU_LAUNCH_PARAM_END |
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531 }; |
80cd5c3b8827
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532 if (check(gpu::Ptx::_cuda_cu_launch_kernel((struct CUfunc_st*) (address) kernel, |
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533 gridX, gridY, gridZ, |
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534 dimX, dimY, dimZ, |
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535 0, NULL, NULL, (void**) &config), "Launch kernel")) { |
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536 } |
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537 } |
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538 |
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539 void synchronize() { |
80cd5c3b8827
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540 check(gpu::Ptx::_cuda_cu_ctx_synchronize(), "Synchronize kernel"); |
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541 } |
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542 |
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543 void unpin_objects() { |
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544 while (_pinned_length > 0) { |
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545 oop obj = _pinned[--_pinned_length]; |
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546 assert(obj != NULL, "npe"); |
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547 //tty->print_cr("Unpinning object %d: %p", _pinned_length, obj); |
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548 if (!check(gpu::Ptx::_cuda_cu_mem_host_unregister(obj), "Unpin object")) { |
80cd5c3b8827
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549 return; |
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550 } |
80cd5c3b8827
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551 } |
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552 } |
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553 |
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554 oop get_object_return_value() { |
80cd5c3b8827
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555 oop return_val; |
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556 check(gpu::Ptx::_cuda_cu_memcpy_dtoh(&return_val, _ret_value, T_OBJECT_BYTE_SIZE), "Copy return value from device"); |
80cd5c3b8827
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557 return return_val; |
80cd5c3b8827
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558 } |
80cd5c3b8827
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559 |
80cd5c3b8827
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560 jlong get_primitive_return_value() { |
80cd5c3b8827
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561 jlong return_val; |
80cd5c3b8827
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562 check(gpu::Ptx::_cuda_cu_memcpy_dtoh(&return_val, _ret_value, _ret_type_size), "Copy return value from device"); |
80cd5c3b8827
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563 return return_val; |
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564 } |
80cd5c3b8827
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565 |
80cd5c3b8827
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566 void free_return_value() { |
80cd5c3b8827
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567 if (_ret_value != 0) { |
80cd5c3b8827
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568 check(gpu::Ptx::_cuda_cu_memfree(_ret_value), "Free device memory"); |
80cd5c3b8827
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569 _ret_value = 0; |
80cd5c3b8827
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|
570 } |
80cd5c3b8827
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|
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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|
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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573 void destroy_context() { |
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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574 if (gpu::Ptx::_device_context != NULL) { |
80cd5c3b8827
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|
575 check(gpu::Ptx::_cuda_cu_ctx_destroy(gpu::Ptx::_device_context), "Destroy context"); |
80cd5c3b8827
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576 gpu::Ptx::_device_context = NULL; |
80cd5c3b8827
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|
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
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|
578 } |
80cd5c3b8827
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|
579 |
80cd5c3b8827
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580 ~PtxCall() { |
80cd5c3b8827
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|
581 unpin_objects(); |
80cd5c3b8827
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|
582 free_return_value(); |
80cd5c3b8827
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|
583 destroy_context(); |
13832
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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changeset
|
584 if (_gc_locked) { |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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585 GC_locker::unlock_critical(_thread); |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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586 if (TraceGPUInteraction) { |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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587 tty->print_cr("[CUDA] Unlocked GC"); |
ab370d74a8eb
implemented GC locking for duration of a PTX kernel call
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|
588 } |
13848
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
parents:
13834
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changeset
|
589 _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
|
590 } |
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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|
591 } |
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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592 }; |
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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|
593 |
13848
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
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|
594 // Prints values in the kernel arguments buffer |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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595 class KernelArgumentsPrinter: public SignatureIterator { |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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596 Method* _method; |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
597 address _buffer; |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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changeset
|
598 size_t _bufferOffset; |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
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changeset
|
599 outputStream* _st; |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
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changeset
|
600 |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
parents:
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diff
changeset
|
601 private: |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
parents:
13834
diff
changeset
|
602 |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
parents:
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changeset
|
603 // Get next java argument |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
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|
604 oop next_arg(BasicType expectedType); |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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diff
changeset
|
605 |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
parents:
13834
diff
changeset
|
606 public: |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
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changeset
|
607 KernelArgumentsPrinter(Method* method, address buffer, outputStream* st) : SignatureIterator(method->signature()), |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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|
608 _method(method), _buffer(buffer), _bufferOffset(0), _st(st) { |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
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changeset
|
609 if (!method->is_static()) { |
b97e2515d392
removed PTXKernelArguments; added mechanism for printing incoming kernel arguments
Doug Simon <doug.simon@oracle.com>
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610 print_oop(); |
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611 } |
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612 iterate(); |
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613 } |
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614 |
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615 address next(size_t dataSz) { |
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616 if (is_return_type()) { |
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617 return _buffer; |
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618 } |
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619 if (_bufferOffset != 0) { |
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620 _st->print(", "); |
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621 } |
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622 _bufferOffset = align_size_up_(_bufferOffset, dataSz); |
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623 address result = _buffer + _bufferOffset; |
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624 _bufferOffset += dataSz; |
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625 return result; |
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626 } |
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627 |
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628 void print_oop() { |
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629 oop obj = *((oop*) next(sizeof(oop))); |
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630 if (obj != NULL) { |
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631 char type[256]; |
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632 obj->klass()->name()->as_C_string(type, 256); |
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633 _st->print("oop "PTR_FORMAT" (%s)", obj, type); |
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634 } else { |
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635 _st->print("oop null"); |
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636 } |
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637 } |
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638 |
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639 bool skip() { |
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640 return is_return_type(); |
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641 } |
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642 |
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643 void do_bool () { if (!skip()) _st->print("bool %d", *((jboolean*) next(sizeof(jboolean)))); } |
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644 void do_char () { if (!skip()) _st->print("char %c", *((jchar*) next(sizeof(jchar)))); } |
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645 void do_float () { if (!skip()) _st->print("float %g", *((jfloat*) next(sizeof(jfloat)))); } |
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646 void do_double() { if (!skip()) _st->print("double %g", *((jdouble*) next(sizeof(jdouble)))); } |
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647 void do_byte () { if (!skip()) _st->print("byte %d", *((jbyte*) next(sizeof(jbyte)))); } |
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648 void do_short () { if (!skip()) _st->print("short %d", *((jshort*) next(sizeof(jshort)))); } |
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649 void do_int () { if (!skip()) _st->print("int %d", *((jint*) next(sizeof(jint)))); } |
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650 void do_long () { if (!skip()) _st->print("long "JLONG_FORMAT, *((jlong*) next(sizeof(jlong)))); } |
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651 void do_void () { } |
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652 void do_object(int begin, int end) { if (!skip()) print_oop(); } |
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653 void do_array (int begin, int end) { if (!skip()) print_oop(); } |
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654 }; |
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|
655 |
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656 static void printKernelArguments(JavaThread* thread, address buffer) { |
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657 for (vframeStream vfst(thread); !vfst.at_end(); vfst.next()) { |
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658 Method* m = vfst.method(); |
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659 if (m != NULL) { |
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660 stringStream st(O_BUFLEN); |
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661 st.print("[CUDA] Call: %s.%s(", m->method_holder()->name()->as_C_string(), m->name()->as_C_string()); |
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662 KernelArgumentsPrinter kap(m, buffer, &st); |
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663 tty->print_cr("%s)", st.as_string()); |
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664 return; |
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665 } |
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|
666 } |
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|
667 } |
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|
668 |
13819
49db2c1e3bee
added support for co-existing GPU backends (JBS:GRAAL-1)
Doug Simon <doug.simon@oracle.com>
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669 GPU_VMENTRY(jlong, gpu::Ptx::get_execute_kernel_from_vm_address, (JNIEnv *env, jclass)) |
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670 return (jlong) gpu::Ptx::execute_kernel_from_vm; |
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671 GPU_END |
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672 |
13648
27acedac70b7
added support for @ParallelOver annotation in PTX kernel call wrapper
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673 JRT_ENTRY(jlong, gpu::Ptx::execute_kernel_from_vm(JavaThread* thread, jlong kernel, jint dimX, jint dimY, jint dimZ, |
13753
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674 jlong buffer, |
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675 jint bufferSize, |
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676 jint objectParametersCount, |
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677 jlong objectParametersOffsets, |
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|
678 jlong pinnedObjects, |
13648
27acedac70b7
added support for @ParallelOver annotation in PTX kernel call wrapper
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679 int encodedReturnTypeSize)) |
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680 if (kernel == 0L) { |
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681 SharedRuntime::throw_and_post_jvmti_exception(thread, vmSymbols::java_lang_NullPointerException(), NULL); |
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682 return 0L; |
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683 } |
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|
684 |
13848
b97e2515d392
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685 if (TraceGPUInteraction) { |
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686 printKernelArguments(thread, (address) buffer); |
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|
687 } |
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|
688 |
13753
80cd5c3b8827
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689 PtxCall call(thread, (address) buffer, bufferSize, (oop*) (address) pinnedObjects, encodedReturnTypeSize); |
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|
690 |
13753
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691 #define TRY(action) do { \ |
80cd5c3b8827
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692 action; \ |
80cd5c3b8827
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693 if (HAS_PENDING_EXCEPTION) return 0L; \ |
80cd5c3b8827
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694 } while (0) |
13624
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|
695 |
13753
80cd5c3b8827
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|
696 TRY(call.alloc_return_value()); |
13624
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|
697 |
13753
80cd5c3b8827
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|
698 TRY(call.pin_objects(objectParametersCount, (int*) (address) objectParametersOffsets)); |
80cd5c3b8827
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changeset
|
699 |
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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|
700 TRY(call.launch((address) kernel, dimX, dimY, dimZ)); |
13624
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|
701 |
13753
80cd5c3b8827
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|
702 TRY(call.synchronize()); |
13624
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changeset
|
703 |
13753
80cd5c3b8827
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704 if (call.is_object_return()) { |
80cd5c3b8827
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|
705 oop return_val; |
80cd5c3b8827
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|
706 TRY(return_val = call.get_object_return_value()); |
80cd5c3b8827
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|
707 thread->set_vm_result(return_val); |
13624
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708 return 0L; |
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709 } |
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changeset
|
710 |
13753
80cd5c3b8827
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|
711 jlong return_val; |
80cd5c3b8827
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|
712 TRY(return_val = call.get_primitive_return_value()); |
80cd5c3b8827
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|
713 return return_val; |
13624
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|
714 |
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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715 #undef TRY |
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>
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716 |
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717 JRT_END |
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718 |
10879 | 719 #if defined(LINUX) |
720 static const char cuda_library_name[] = "libcuda.so"; | |
721 #elif defined(__APPLE__) | |
722 static char const cuda_library_name[] = "/usr/local/cuda/lib/libcuda.dylib"; | |
723 #else | |
724 static char const cuda_library_name[] = ""; | |
725 #endif | |
726 | |
13819
49db2c1e3bee
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727 bool gpu::Ptx::link() { |
49db2c1e3bee
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728 if (cuda_library_name == NULL) { |
49db2c1e3bee
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729 if (TraceGPUInteraction) { |
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730 tty->print_cr("Failed to find CUDA linkage"); |
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731 } |
49db2c1e3bee
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732 return false; |
49db2c1e3bee
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733 } |
49db2c1e3bee
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734 char ebuf[O_BUFLEN]; |
49db2c1e3bee
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735 void *handle = os::dll_load(cuda_library_name, ebuf, O_BUFLEN); |
49db2c1e3bee
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736 if (handle == NULL) { |
49db2c1e3bee
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737 if (TraceGPUInteraction) { |
49db2c1e3bee
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738 tty->print_cr("Unsupported CUDA platform: %s", ebuf); |
49db2c1e3bee
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739 } |
49db2c1e3bee
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740 return false; |
49db2c1e3bee
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741 } |
10882
6a2d65cb5d7d
fix: gpu_ptx.cpp did not compile on windows
Christian Wirth <christian.wirth@oracle.com>
parents:
10879
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742 |
13819
49db2c1e3bee
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743 LOOKUP_CUDA_FUNCTION(cuInit, cuda_cu_init); |
49db2c1e3bee
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744 LOOKUP_CUDA_FUNCTION(cuCtxSynchronize, cuda_cu_ctx_synchronize); |
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745 LOOKUP_CUDA_FUNCTION(cuCtxGetCurrent, cuda_cu_ctx_get_current); |
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746 LOOKUP_CUDA_FUNCTION(cuCtxSetCurrent, cuda_cu_ctx_set_current); |
49db2c1e3bee
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747 LOOKUP_CUDA_FUNCTION(cuDeviceGetCount, cuda_cu_device_get_count); |
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748 LOOKUP_CUDA_FUNCTION(cuDeviceGetName, cuda_cu_device_get_name); |
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749 LOOKUP_CUDA_FUNCTION(cuDeviceGet, cuda_cu_device_get); |
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750 LOOKUP_CUDA_FUNCTION(cuDeviceComputeCapability, cuda_cu_device_compute_capability); |
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751 LOOKUP_CUDA_FUNCTION(cuDeviceGetAttribute, cuda_cu_device_get_attribute); |
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752 LOOKUP_CUDA_FUNCTION(cuModuleGetFunction, cuda_cu_module_get_function); |
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753 LOOKUP_CUDA_FUNCTION(cuModuleLoadDataEx, cuda_cu_module_load_data_ex); |
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754 LOOKUP_CUDA_FUNCTION(cuLaunchKernel, cuda_cu_launch_kernel); |
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755 LOOKUP_CUDA_FUNCTION(cuMemHostRegister, cuda_cu_mem_host_register); |
49db2c1e3bee
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756 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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diff
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|
757 #if defined(__x86_64) || defined(AMD64) || defined(_M_AMD64) |
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758 LOOKUP_CUDA_V2_FUNCTION(cuCtxCreate, cuda_cu_ctx_create); |
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759 LOOKUP_CUDA_V2_FUNCTION(cuCtxDestroy, cuda_cu_ctx_destroy); |
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760 LOOKUP_CUDA_V2_FUNCTION(cuMemAlloc, cuda_cu_memalloc); |
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761 LOOKUP_CUDA_V2_FUNCTION(cuMemFree, cuda_cu_memfree); |
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762 LOOKUP_CUDA_V2_FUNCTION(cuMemcpyHtoD, cuda_cu_memcpy_htod); |
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763 LOOKUP_CUDA_V2_FUNCTION(cuMemcpyDtoH, cuda_cu_memcpy_dtoh); |
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764 LOOKUP_CUDA_V2_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>
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765 #else |
13819
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766 LOOKUP_CUDA_FUNCTION(cuCtxCreate, cuda_cu_ctx_create); |
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767 LOOKUP_CUDA_FUNCTION(cuCtxDestroy, cuda_cu_ctx_destroy); |
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768 LOOKUP_CUDA_FUNCTION(cuMemAlloc, cuda_cu_memalloc); |
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769 LOOKUP_CUDA_FUNCTION(cuMemFree, cuda_cu_memfree); |
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770 LOOKUP_CUDA_FUNCTION(cuMemcpyHtoD, cuda_cu_memcpy_htod); |
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diff
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771 LOOKUP_CUDA_FUNCTION(cuMemcpyDtoH, cuda_cu_memcpy_dtoh); |
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772 LOOKUP_CUDA_FUNCTION(cuMemHostGetDevicePointer, cuda_cu_mem_host_get_device_pointer); |
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S.Bharadwaj Yadavalli <bharadwaj.yadavalli@oracle.com>
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773 #endif |
11485
49bb1bc983c6
Implement several missing PTX codegen features; return value capture and method args passing of java method executed on GPU.
bharadwaj
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774 |
13819
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|
775 if (TraceGPUInteraction) { |
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776 tty->print_cr("[CUDA] Success: library linkage"); |
10879 | 777 } |
13819
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778 return true; |
10879 | 779 } |