Mercurial > hg > truffle
annotate src/gpu/ptx/vm/gpu_ptx.cpp @ 13833:fe99bfb55626
disable printing of CUDA errors unless TraceGPUInteraction is enabled
author | Doug Simon <doug.simon@oracle.com> |
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date | Fri, 31 Jan 2014 00:13:12 +0100 |
parents | ab370d74a8eb |
children | 4ca607fc94e0 |
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 "graal/graalEnv.hpp" |
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35 #include "graal/graalCompiler.hpp" |
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36 #include "ptxKernelArguments.hpp" |
10879 | 37 |
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38 // Entry to GPU native method implementation that transitions current thread to '_thread_in_vm'. |
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39 #define GPU_VMENTRY(result_type, name, signature) \ |
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40 JNIEXPORT result_type JNICALL name signature { \ |
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41 GRAAL_VM_ENTRY_MARK; \ |
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42 |
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43 // Entry to GPU native method implementation that calls a JNI function |
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44 // and hence cannot transition current thread to '_thread_in_vm'. |
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45 #define GPU_ENTRY(result_type, name, signature) \ |
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46 JNIEXPORT result_type JNICALL name signature { \ |
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47 |
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48 #define GPU_END } |
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49 |
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50 #define CC (char*) /*cast a literal from (const char*)*/ |
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51 #define FN_PTR(f) CAST_FROM_FN_PTR(void*, &(f)) |
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52 |
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53 #define STRING "Ljava/lang/String;" |
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54 |
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55 JNINativeMethod gpu::Ptx::PTX_methods[] = { |
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56 {CC"initialize", CC"()Z", FN_PTR(gpu::Ptx::initialize)}, |
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57 {CC"generateKernel", CC"([B" STRING ")J", FN_PTR(gpu::Ptx::generate_kernel)}, |
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58 {CC"getLaunchKernelAddress", CC"()J", FN_PTR(gpu::Ptx::get_execute_kernel_from_vm_address)}, |
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59 {CC"getAvailableProcessors0", CC"()I", FN_PTR(gpu::Ptx::get_total_cores)}, |
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60 }; |
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61 |
10879 | 62 void * gpu::Ptx::_device_context; |
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63 int gpu::Ptx::_cu_device = 0; |
10879 | 64 |
65 gpu::Ptx::cuda_cu_init_func_t gpu::Ptx::_cuda_cu_init; | |
66 gpu::Ptx::cuda_cu_ctx_create_func_t gpu::Ptx::_cuda_cu_ctx_create; | |
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67 gpu::Ptx::cuda_cu_ctx_destroy_func_t gpu::Ptx::_cuda_cu_ctx_destroy; |
10879 | 68 gpu::Ptx::cuda_cu_ctx_synchronize_func_t gpu::Ptx::_cuda_cu_ctx_synchronize; |
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69 gpu::Ptx::cuda_cu_ctx_get_current_func_t gpu::Ptx::_cuda_cu_ctx_get_current; |
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70 gpu::Ptx::cuda_cu_ctx_set_current_func_t gpu::Ptx::_cuda_cu_ctx_set_current; |
10879 | 71 gpu::Ptx::cuda_cu_device_get_count_func_t gpu::Ptx::_cuda_cu_device_get_count; |
72 gpu::Ptx::cuda_cu_device_get_name_func_t gpu::Ptx::_cuda_cu_device_get_name; | |
73 gpu::Ptx::cuda_cu_device_get_func_t gpu::Ptx::_cuda_cu_device_get; | |
74 gpu::Ptx::cuda_cu_device_compute_capability_func_t gpu::Ptx::_cuda_cu_device_compute_capability; | |
75 gpu::Ptx::cuda_cu_device_get_attribute_func_t gpu::Ptx::_cuda_cu_device_get_attribute; | |
76 gpu::Ptx::cuda_cu_launch_kernel_func_t gpu::Ptx::_cuda_cu_launch_kernel; | |
77 gpu::Ptx::cuda_cu_module_get_function_func_t gpu::Ptx::_cuda_cu_module_get_function; | |
78 gpu::Ptx::cuda_cu_module_load_data_ex_func_t gpu::Ptx::_cuda_cu_module_load_data_ex; | |
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79 gpu::Ptx::cuda_cu_memcpy_dtoh_func_t gpu::Ptx::_cuda_cu_memcpy_dtoh; |
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80 gpu::Ptx::cuda_cu_memfree_func_t gpu::Ptx::_cuda_cu_memfree; |
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81 gpu::Ptx::cuda_cu_mem_host_register_func_t gpu::Ptx::_cuda_cu_mem_host_register; |
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82 gpu::Ptx::cuda_cu_mem_host_get_device_pointer_func_t gpu::Ptx::_cuda_cu_mem_host_get_device_pointer; |
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83 gpu::Ptx::cuda_cu_mem_host_unregister_func_t gpu::Ptx::_cuda_cu_mem_host_unregister; |
10879 | 84 |
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85 #define STRINGIFY(x) #x |
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86 |
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87 #define LOOKUP_CUDA_FUNCTION(name, alias) \ |
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88 _##alias = \ |
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89 CAST_TO_FN_PTR(alias##_func_t, os::dll_lookup(handle, STRINGIFY(name))); \ |
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90 if (_##alias == NULL) { \ |
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91 tty->print_cr("[CUDA] ***** Error: Failed to lookup %s", STRINGIFY(name)); \ |
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92 return false; \ |
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93 } \ |
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94 |
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95 #define LOOKUP_CUDA_V2_FUNCTION(name, alias) LOOKUP_CUDA_FUNCTION(name##_v2, alias) |
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96 |
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97 /* |
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98 * see http://en.wikipedia.org/wiki/CUDA#Supported_GPUs |
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99 */ |
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100 int gpu::Ptx::ncores(int major, int minor) { |
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101 int device_type = (major << 4) + minor; |
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102 |
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103 switch (device_type) { |
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104 case 0x10: return 8; |
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105 case 0x11: return 8; |
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106 case 0x12: return 8; |
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107 case 0x13: return 8; |
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108 case 0x20: return 32; |
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109 case 0x21: return 48; |
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110 case 0x30: return 192; |
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111 case 0x35: return 192; |
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112 default: |
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113 tty->print_cr("[CUDA] Warning: Unhandled device %x", device_type); |
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114 return 0; |
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115 } |
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116 } |
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117 |
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118 bool gpu::Ptx::register_natives(JNIEnv* env) { |
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119 jclass klass = env->FindClass("com/oracle/graal/hotspot/ptx/PTXHotSpotBackend"); |
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120 if (klass == NULL) { |
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121 if (TraceGPUInteraction) { |
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122 tty->print_cr("PTXHotSpotBackend class not found"); |
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123 } |
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124 return false; |
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125 } |
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126 jint status = env->RegisterNatives(klass, PTX_methods, sizeof(PTX_methods) / sizeof(JNINativeMethod)); |
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127 if (status != JNI_OK) { |
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128 if (TraceGPUInteraction) { |
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129 tty->print_cr("Error registering natives for PTXHotSpotBackend: %d", status); |
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130 } |
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131 return false; |
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132 } |
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133 return true; |
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134 } |
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135 |
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136 GPU_ENTRY(jboolean, gpu::Ptx::initialize, (JNIEnv *env, jclass)) |
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137 |
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138 if (!link()) { |
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139 return false; |
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140 } |
10879 | 141 |
142 /* Initialize CUDA driver API */ | |
143 int status = _cuda_cu_init(0); | |
144 if (status != GRAAL_CUDA_SUCCESS) { | |
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145 if (TraceGPUInteraction) { |
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146 tty->print_cr("Failed to initialize CUDA device: %d", status); |
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147 } |
10879 | 148 return false; |
149 } | |
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150 |
10879 | 151 if (TraceGPUInteraction) { |
152 tty->print_cr("CUDA driver initialization: Success"); | |
153 } | |
154 | |
155 /* Get the number of compute-capable device count */ | |
156 int device_count = 0; | |
157 status = _cuda_cu_device_get_count(&device_count); | |
158 if (status != GRAAL_CUDA_SUCCESS) { | |
159 tty->print_cr("[CUDA] Failed to get compute-capable device count"); | |
160 return false; | |
161 } | |
162 | |
163 if (device_count == 0) { | |
164 tty->print_cr("[CUDA] Found no device supporting CUDA"); | |
165 return false; | |
166 } | |
167 | |
168 if (TraceGPUInteraction) { | |
169 tty->print_cr("[CUDA] Number of compute-capable devices found: %d", device_count); | |
170 } | |
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171 |
10879 | 172 /* Get the handle to the first compute device */ |
173 int device_id = 0; | |
174 /* Compute-capable device handle */ | |
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175 status = _cuda_cu_device_get(&_cu_device, device_id); |
10879 | 176 |
177 if (status != GRAAL_CUDA_SUCCESS) { | |
178 tty->print_cr("[CUDA] Failed to get handle of first compute-capable device i.e., the one at ordinal: %d", device_id); | |
179 return false; | |
180 } | |
181 | |
182 if (TraceGPUInteraction) { | |
183 tty->print_cr("[CUDA] Got the handle of first compute-device"); | |
184 } | |
185 | |
186 /* Get device attributes */ | |
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187 int unified_addressing; |
10879 | 188 |
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189 status = _cuda_cu_device_get_attribute(&unified_addressing, GRAAL_CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING, _cu_device); |
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190 |
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191 if (status != GRAAL_CUDA_SUCCESS) { |
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192 tty->print_cr("[CUDA] Failed to query unified addressing mode of device: %d", _cu_device); |
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193 return false; |
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194 } |
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195 |
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196 if (TraceGPUInteraction) { |
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197 tty->print_cr("[CUDA] Unified addressing support on device %d: %d", _cu_device, unified_addressing); |
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198 } |
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199 |
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200 |
10879 | 201 /* Get device name */ |
202 char device_name[256]; | |
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203 status = _cuda_cu_device_get_name(device_name, 256, _cu_device); |
10879 | 204 |
205 if (status != GRAAL_CUDA_SUCCESS) { | |
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206 tty->print_cr("[CUDA] Failed to get name of device: %d", _cu_device); |
10879 | 207 return false; |
208 } | |
209 | |
210 if (TraceGPUInteraction) { | |
211 tty->print_cr("[CUDA] Using %s", device_name); | |
212 } | |
213 | |
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214 gpu::initialized_gpu(device_name); |
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215 |
10879 | 216 return true; |
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217 GPU_END |
10879 | 218 |
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219 GPU_ENTRY(jint, gpu::Ptx::get_total_cores, (JNIEnv *env, jobject)) |
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220 |
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221 int minor, major, nmp; |
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222 int status = _cuda_cu_device_get_attribute(&minor, |
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223 GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, |
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224 _cu_device); |
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225 |
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226 if (status != GRAAL_CUDA_SUCCESS) { |
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227 tty->print_cr("[CUDA] Failed to get minor attribute of device: %d", _cu_device); |
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228 return 0; |
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229 } |
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230 |
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231 status = _cuda_cu_device_get_attribute(&major, |
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232 GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, |
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233 _cu_device); |
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234 |
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235 if (status != GRAAL_CUDA_SUCCESS) { |
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236 tty->print_cr("[CUDA] Failed to get major attribute of device: %d", _cu_device); |
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237 return 0; |
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238 } |
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239 |
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240 status = _cuda_cu_device_get_attribute(&nmp, |
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241 GRAAL_CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, |
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242 _cu_device); |
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243 |
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244 if (status != GRAAL_CUDA_SUCCESS) { |
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245 tty->print_cr("[CUDA] Failed to get number of MPs on device: %d", _cu_device); |
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246 return 0; |
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247 } |
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248 |
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249 int total = nmp * ncores(major, minor); |
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250 |
11894
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251 int max_threads_per_block, warp_size, async_engines, can_map_host_memory, concurrent_kernels; |
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252 |
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253 status = _cuda_cu_device_get_attribute(&max_threads_per_block, |
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254 GRAAL_CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK, |
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255 _cu_device); |
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256 |
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257 if (status != GRAAL_CUDA_SUCCESS) { |
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258 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK: %d", _cu_device); |
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259 return 0; |
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260 } |
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261 |
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262 status = _cuda_cu_device_get_attribute(&warp_size, |
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263 GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE, |
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264 _cu_device); |
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265 |
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266 if (status != GRAAL_CUDA_SUCCESS) { |
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267 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE: %d", _cu_device); |
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268 return 0; |
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269 } |
12653
1a7e7011a341
* PTX kernel argument buffer now has naturally aligned arguments as required by PTX JIT compiler.
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270 |
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271 status = _cuda_cu_device_get_attribute(&async_engines, |
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272 GRAAL_CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT, |
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273 _cu_device); |
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274 |
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275 if (status != GRAAL_CUDA_SUCCESS) { |
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276 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_WARP_SIZE: %d", _cu_device); |
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277 return 0; |
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278 } |
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279 |
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280 status = _cuda_cu_device_get_attribute(&can_map_host_memory, |
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281 GRAAL_CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY, |
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282 _cu_device); |
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283 |
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284 if (status != GRAAL_CUDA_SUCCESS) { |
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285 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY: %d", _cu_device); |
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Fixed BasicPTXTest and IntegerPTXTest
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286 return 0; |
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287 } |
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288 |
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289 status = _cuda_cu_device_get_attribute(&concurrent_kernels, |
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290 GRAAL_CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS, |
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291 _cu_device); |
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292 |
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293 if (status != GRAAL_CUDA_SUCCESS) { |
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294 tty->print_cr("[CUDA] Failed to get GRAAL_CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS: %d", _cu_device); |
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295 return 0; |
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296 } |
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297 |
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298 if (TraceGPUInteraction) { |
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299 tty->print_cr("[CUDA] Compatibility version of device %d: %d.%d", _cu_device, major, minor); |
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300 tty->print_cr("[CUDA] Number of cores: %d async engines: %d can map host mem: %d concurrent kernels: %d", |
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301 total, async_engines, can_map_host_memory, concurrent_kernels); |
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302 tty->print_cr("[CUDA] Max threads per block: %d warp size: %d", max_threads_per_block, warp_size); |
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303 } |
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304 return total; |
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305 GPU_END |
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306 |
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307 GPU_ENTRY(jlong, gpu::Ptx::generate_kernel, (JNIEnv *env, jclass, jbyteArray code_handle, jstring name_handle)) |
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308 ResourceMark rm; |
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309 jsize name_len = env->GetStringLength(name_handle); |
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310 jsize code_len = env->GetArrayLength(code_handle); |
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311 |
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312 char* name = NEW_RESOURCE_ARRAY(char, name_len + 1); |
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313 unsigned char *code = NEW_RESOURCE_ARRAY(unsigned char, code_len + 1); |
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314 |
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315 code[code_len] = 0; |
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316 name[name_len] = 0; |
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317 |
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318 env->GetByteArrayRegion(code_handle, 0, code_len, (jbyte*) code); |
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319 env->GetStringUTFRegion(name_handle, 0, name_len, name); |
10879 | 320 |
321 struct CUmod_st * cu_module; | |
322 // Use three JIT compiler options | |
323 const unsigned int jit_num_options = 3; | |
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324 int *jit_options = NEW_RESOURCE_ARRAY(int, jit_num_options); |
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325 void **jit_option_values = NEW_RESOURCE_ARRAY(void *, jit_num_options); |
10879 | 326 |
327 // Set up PTX JIT compiler options | |
328 // 1. set size of compilation log buffer | |
329 int jit_log_buffer_size = 1024; | |
330 jit_options[0] = GRAAL_CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES; | |
331 jit_option_values[0] = (void *)(size_t)jit_log_buffer_size; | |
332 | |
333 // 2. set pointer to compilation log buffer | |
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334 char *jit_log_buffer = NEW_RESOURCE_ARRAY(char, jit_log_buffer_size); |
10879 | 335 jit_options[1] = GRAAL_CU_JIT_INFO_LOG_BUFFER; |
336 jit_option_values[1] = jit_log_buffer; | |
337 | |
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338 // 3. set pointer to set the maximum number of registers (32) for the kernel |
10879 | 339 int jit_register_count = 32; |
340 jit_options[2] = GRAAL_CU_JIT_MAX_REGISTERS; | |
341 jit_option_values[2] = (void *)(size_t)jit_register_count; | |
342 | |
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343 // Create CUDA context to compile and execute the kernel |
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344 int status = _cuda_cu_ctx_create(&_device_context, GRAAL_CU_CTX_MAP_HOST, _cu_device); |
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345 |
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346 if (status != GRAAL_CUDA_SUCCESS) { |
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347 tty->print_cr("[CUDA] Failed to create CUDA context for device(%d): %d", _cu_device, status); |
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348 return 0L; |
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349 } |
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350 if (TraceGPUInteraction) { |
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351 tty->print_cr("[CUDA] Success: Created context for device: %d", _cu_device); |
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352 } |
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353 |
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354 status = _cuda_cu_ctx_set_current(_device_context); |
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355 |
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356 if (status != GRAAL_CUDA_SUCCESS) { |
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357 tty->print_cr("[CUDA] Failed to set current context for device: %d", _cu_device); |
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358 return 0L; |
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359 } |
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360 if (TraceGPUInteraction) { |
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361 tty->print_cr("[CUDA] Success: Set current context for device: %d", _cu_device); |
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362 tty->print_cr("[CUDA] PTX Kernel\n%s", code); |
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363 tty->print_cr("[CUDA] Function name : %s", name); |
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364 } |
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365 |
10879 | 366 /* Load module's data with compiler options */ |
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367 status = _cuda_cu_module_load_data_ex(&cu_module, (void*) code, jit_num_options, |
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368 jit_options, (void **)jit_option_values); |
10879 | 369 if (status != GRAAL_CUDA_SUCCESS) { |
370 if (status == GRAAL_CUDA_ERROR_NO_BINARY_FOR_GPU) { | |
371 tty->print_cr("[CUDA] Check for malformed PTX kernel or incorrect PTX compilation options"); | |
372 } | |
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373 tty->print_cr("[CUDA] *** Error (%d) Failed to load module data with online compiler options for method %s", |
10879 | 374 status, name); |
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375 return 0L; |
10879 | 376 } |
377 | |
378 if (TraceGPUInteraction) { | |
379 tty->print_cr("[CUDA] Loaded data for PTX Kernel"); | |
380 } | |
381 | |
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382 struct CUfunc_st* cu_function; |
10879 | 383 status = _cuda_cu_module_get_function(&cu_function, cu_module, name); |
384 | |
385 if (status != GRAAL_CUDA_SUCCESS) { | |
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386 tty->print_cr("[CUDA] *** Error: Failed to get function %s", name); |
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387 return 0L; |
10879 | 388 } |
389 | |
390 if (TraceGPUInteraction) { | |
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391 tty->print_cr("[CUDA] Got function handle for %s kernel address %p", name, cu_function); |
10879 | 392 } |
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393 return (jlong) cu_function; |
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394 GPU_END |
10879 | 395 |
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396 // A PtxCall is used to manage executing a GPU kernel. In addition to launching |
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397 // the kernel, this class releases resources allocated for the execution. |
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398 class PtxCall: StackObj { |
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399 private: |
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400 JavaThread* _thread; // the thread on which this call is made |
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401 address _buffer; // buffer containing parameters and _return_value |
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402 int _buffer_size; // size (in bytes) of _buffer |
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403 oop* _pinned; // objects that have been pinned with cuMemHostRegister |
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404 int _pinned_length; // length of _pinned |
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405 gpu::Ptx::CUdeviceptr _ret_value; // pointer to slot in GPU memory holding the return value |
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406 int _ret_type_size; // size of the return type value |
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407 bool _ret_is_object; // specifies if the return type is Object |
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408 bool _gc_locked; |
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409 |
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410 bool check(int status, const char *action) { |
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411 if (status != GRAAL_CUDA_SUCCESS) { |
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412 Thread* THREAD = _thread; |
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413 char* message = NEW_RESOURCE_ARRAY_IN_THREAD(THREAD, char, O_BUFLEN + 1); |
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414 jio_snprintf(message, O_BUFLEN, "[CUDA] *** Error (status=%d): %s", status, action); |
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415 if (TraceGPUInteraction) { |
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416 tty->print_cr(message); |
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417 } |
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418 if (!HAS_PENDING_EXCEPTION) { |
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419 SharedRuntime::throw_and_post_jvmti_exception(_thread, vmSymbols::java_lang_RuntimeException(), message); |
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420 } |
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421 return false; |
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422 } |
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423 if (TraceGPUInteraction) { |
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424 tty->print_cr("[CUDA] Success: %s", action); |
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425 } |
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426 return true; |
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427 } |
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428 |
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429 public: |
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430 PtxCall(JavaThread* thread, address buffer, int buffer_size, oop* pinned, int encodedReturnTypeSize) : _thread(thread), _gc_locked(false), |
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431 _buffer(buffer), _buffer_size(buffer_size), _pinned(pinned), _pinned_length(0), _ret_value(0), _ret_is_object(encodedReturnTypeSize < 0) { |
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432 _ret_type_size = _ret_is_object ? -encodedReturnTypeSize : encodedReturnTypeSize; |
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433 } |
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434 |
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435 bool is_object_return() { return _ret_is_object; } |
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436 |
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437 void alloc_return_value() { |
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438 if (_ret_type_size != 0) { |
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439 if (check(gpu::Ptx::_cuda_cu_memalloc(&_ret_value, _ret_type_size), "Allocate device memory for return value")) { |
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440 gpu::Ptx::CUdeviceptr* retValuePtr = (gpu::Ptx::CUdeviceptr*) ((_buffer + _buffer_size) - sizeof(_ret_value)); |
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441 *retValuePtr = _ret_value; |
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442 } |
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443 } |
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444 } |
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445 |
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446 void pin_objects(int count, int* objectOffsets) { |
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447 if (count == 0) { |
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448 return; |
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449 } |
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450 // Once we start pinning objects, no GC must occur |
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451 // until the kernel has completed. This is a big |
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452 // hammer for ensuring we can safely pass objects |
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453 // to the GPU. |
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454 GC_locker::lock_critical(_thread); |
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455 _gc_locked = true; |
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456 if (TraceGPUInteraction) { |
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457 tty->print_cr("[CUDA] Locked GC"); |
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458 } |
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459 |
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460 for (int i = 0; i < count; i++) { |
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461 int offset = objectOffsets[i]; |
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462 oop* argPtr = (oop*) (_buffer + offset); |
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463 oop obj = *argPtr; |
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464 if (obj != NULL) { |
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465 // Size (in bytes) of object |
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466 int objSize = obj->size() * HeapWordSize; |
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467 //tty->print_cr("Pinning object %d at offset %d: %p", i, offset, obj); |
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468 if (!check(gpu::Ptx::_cuda_cu_mem_host_register(obj, objSize, GRAAL_CU_MEMHOSTREGISTER_DEVICEMAP), "Pin object")) { |
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469 return; |
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470 } |
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471 |
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472 // Record original oop so that its memory can be unpinned |
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473 _pinned[_pinned_length++] = obj; |
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474 |
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475 // Replace host pointer to object with device pointer |
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476 // to object in kernel parameters buffer |
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477 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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478 return; |
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479 } |
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480 } |
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481 } |
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482 } |
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483 |
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484 void launch(address kernel, jint dimX, jint dimY, jint dimZ) { |
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485 // grid dimensionality |
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486 unsigned int gridX = 1; |
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487 unsigned int gridY = 1; |
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488 unsigned int gridZ = 1; |
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489 void * config[] = { |
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490 GRAAL_CU_LAUNCH_PARAM_BUFFER_POINTER, (char*) (address) _buffer, |
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491 GRAAL_CU_LAUNCH_PARAM_BUFFER_SIZE, &_buffer_size, |
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492 GRAAL_CU_LAUNCH_PARAM_END |
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493 }; |
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494 if (check(gpu::Ptx::_cuda_cu_launch_kernel((struct CUfunc_st*) (address) kernel, |
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495 gridX, gridY, gridZ, |
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496 dimX, dimY, dimZ, |
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497 0, NULL, NULL, (void**) &config), "Launch kernel")) { |
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498 } |
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499 } |
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500 |
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501 void synchronize() { |
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502 check(gpu::Ptx::_cuda_cu_ctx_synchronize(), "Synchronize kernel"); |
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503 } |
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504 |
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505 void unpin_objects() { |
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506 while (_pinned_length > 0) { |
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507 oop obj = _pinned[--_pinned_length]; |
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508 assert(obj != NULL, "npe"); |
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509 //tty->print_cr("Unpinning object %d: %p", _pinned_length, obj); |
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510 if (!check(gpu::Ptx::_cuda_cu_mem_host_unregister(obj), "Unpin object")) { |
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511 return; |
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512 } |
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513 } |
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514 } |
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515 |
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516 oop get_object_return_value() { |
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517 oop return_val; |
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518 check(gpu::Ptx::_cuda_cu_memcpy_dtoh(&return_val, _ret_value, T_OBJECT_BYTE_SIZE), "Copy return value from device"); |
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519 return return_val; |
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520 } |
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521 |
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522 jlong get_primitive_return_value() { |
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523 jlong return_val; |
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524 check(gpu::Ptx::_cuda_cu_memcpy_dtoh(&return_val, _ret_value, _ret_type_size), "Copy return value from device"); |
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525 return return_val; |
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526 } |
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527 |
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528 void free_return_value() { |
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529 if (_ret_value != 0) { |
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530 check(gpu::Ptx::_cuda_cu_memfree(_ret_value), "Free device memory"); |
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531 _ret_value = 0; |
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532 } |
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533 } |
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534 |
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535 void destroy_context() { |
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536 if (gpu::Ptx::_device_context != NULL) { |
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537 check(gpu::Ptx::_cuda_cu_ctx_destroy(gpu::Ptx::_device_context), "Destroy context"); |
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538 gpu::Ptx::_device_context = NULL; |
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539 } |
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540 } |
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541 |
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542 ~PtxCall() { |
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543 unpin_objects(); |
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544 free_return_value(); |
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545 destroy_context(); |
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546 if (_gc_locked) { |
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547 GC_locker::unlock_critical(_thread); |
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548 if (TraceGPUInteraction) { |
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549 tty->print_cr("[CUDA] Unlocked GC"); |
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550 } |
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551 } |
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552 } |
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553 }; |
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554 |
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555 GPU_VMENTRY(jlong, gpu::Ptx::get_execute_kernel_from_vm_address, (JNIEnv *env, jclass)) |
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556 return (jlong) gpu::Ptx::execute_kernel_from_vm; |
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557 GPU_END |
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558 |
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27acedac70b7
added support for @ParallelOver annotation in PTX kernel call wrapper
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559 JRT_ENTRY(jlong, gpu::Ptx::execute_kernel_from_vm(JavaThread* thread, jlong kernel, jint dimX, jint dimY, jint dimZ, |
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560 jlong buffer, |
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561 jint bufferSize, |
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562 jint objectParametersCount, |
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563 jlong objectParametersOffsets, |
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564 jlong pinnedObjects, |
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565 int encodedReturnTypeSize)) |
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566 if (kernel == 0L) { |
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567 SharedRuntime::throw_and_post_jvmti_exception(thread, vmSymbols::java_lang_NullPointerException(), NULL); |
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568 return 0L; |
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569 } |
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570 |
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571 PtxCall call(thread, (address) buffer, bufferSize, (oop*) (address) pinnedObjects, encodedReturnTypeSize); |
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572 |
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573 #define TRY(action) do { \ |
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574 action; \ |
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575 if (HAS_PENDING_EXCEPTION) return 0L; \ |
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576 } while (0) |
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577 |
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578 TRY(call.alloc_return_value()); |
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579 |
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580 TRY(call.pin_objects(objectParametersCount, (int*) (address) objectParametersOffsets)); |
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581 |
80cd5c3b8827
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582 TRY(call.launch((address) kernel, dimX, dimY, dimZ)); |
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583 |
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584 TRY(call.synchronize()); |
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585 |
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586 if (call.is_object_return()) { |
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587 oop return_val; |
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588 TRY(return_val = call.get_object_return_value()); |
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589 thread->set_vm_result(return_val); |
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590 return 0L; |
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591 } |
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592 |
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593 jlong return_val; |
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594 TRY(return_val = call.get_primitive_return_value()); |
80cd5c3b8827
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595 return return_val; |
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596 |
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597 #undef TRY |
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598 |
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599 JRT_END |
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600 |
10879 | 601 #if defined(LINUX) |
602 static const char cuda_library_name[] = "libcuda.so"; | |
603 #elif defined(__APPLE__) | |
604 static char const cuda_library_name[] = "/usr/local/cuda/lib/libcuda.dylib"; | |
605 #else | |
606 static char const cuda_library_name[] = ""; | |
607 #endif | |
608 | |
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609 bool gpu::Ptx::link() { |
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610 if (cuda_library_name == NULL) { |
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611 if (TraceGPUInteraction) { |
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612 tty->print_cr("Failed to find CUDA linkage"); |
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613 } |
49db2c1e3bee
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614 return false; |
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615 } |
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616 char ebuf[O_BUFLEN]; |
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617 void *handle = os::dll_load(cuda_library_name, ebuf, O_BUFLEN); |
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618 if (handle == NULL) { |
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619 if (TraceGPUInteraction) { |
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620 tty->print_cr("Unsupported CUDA platform: %s", ebuf); |
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621 } |
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622 return false; |
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623 } |
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624 |
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625 LOOKUP_CUDA_FUNCTION(cuInit, cuda_cu_init); |
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626 LOOKUP_CUDA_FUNCTION(cuCtxSynchronize, cuda_cu_ctx_synchronize); |
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627 LOOKUP_CUDA_FUNCTION(cuCtxGetCurrent, cuda_cu_ctx_get_current); |
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628 LOOKUP_CUDA_FUNCTION(cuCtxSetCurrent, cuda_cu_ctx_set_current); |
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629 LOOKUP_CUDA_FUNCTION(cuDeviceGetCount, cuda_cu_device_get_count); |
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630 LOOKUP_CUDA_FUNCTION(cuDeviceGetName, cuda_cu_device_get_name); |
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631 LOOKUP_CUDA_FUNCTION(cuDeviceGet, cuda_cu_device_get); |
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632 LOOKUP_CUDA_FUNCTION(cuDeviceComputeCapability, cuda_cu_device_compute_capability); |
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633 LOOKUP_CUDA_FUNCTION(cuDeviceGetAttribute, cuda_cu_device_get_attribute); |
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634 LOOKUP_CUDA_FUNCTION(cuModuleGetFunction, cuda_cu_module_get_function); |
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635 LOOKUP_CUDA_FUNCTION(cuModuleLoadDataEx, cuda_cu_module_load_data_ex); |
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636 LOOKUP_CUDA_FUNCTION(cuLaunchKernel, cuda_cu_launch_kernel); |
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637 LOOKUP_CUDA_FUNCTION(cuMemHostRegister, cuda_cu_mem_host_register); |
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638 LOOKUP_CUDA_FUNCTION(cuMemHostUnregister, cuda_cu_mem_host_unregister); |
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639 #if defined(__x86_64) || defined(AMD64) || defined(_M_AMD64) |
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640 LOOKUP_CUDA_V2_FUNCTION(cuCtxCreate, cuda_cu_ctx_create); |
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641 LOOKUP_CUDA_V2_FUNCTION(cuCtxDestroy, cuda_cu_ctx_destroy); |
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642 LOOKUP_CUDA_V2_FUNCTION(cuMemAlloc, cuda_cu_memalloc); |
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643 LOOKUP_CUDA_V2_FUNCTION(cuMemFree, cuda_cu_memfree); |
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644 LOOKUP_CUDA_V2_FUNCTION(cuMemcpyHtoD, cuda_cu_memcpy_htod); |
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645 LOOKUP_CUDA_V2_FUNCTION(cuMemcpyDtoH, cuda_cu_memcpy_dtoh); |
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646 LOOKUP_CUDA_V2_FUNCTION(cuMemHostGetDevicePointer, cuda_cu_mem_host_get_device_pointer); |
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647 #else |
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648 LOOKUP_CUDA_FUNCTION(cuCtxCreate, cuda_cu_ctx_create); |
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649 LOOKUP_CUDA_FUNCTION(cuCtxDestroy, cuda_cu_ctx_destroy); |
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650 LOOKUP_CUDA_FUNCTION(cuMemAlloc, cuda_cu_memalloc); |
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651 LOOKUP_CUDA_FUNCTION(cuMemFree, cuda_cu_memfree); |
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652 LOOKUP_CUDA_FUNCTION(cuMemcpyHtoD, cuda_cu_memcpy_htod); |
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653 LOOKUP_CUDA_FUNCTION(cuMemcpyDtoH, cuda_cu_memcpy_dtoh); |
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654 LOOKUP_CUDA_FUNCTION(cuMemHostGetDevicePointer, cuda_cu_mem_host_get_device_pointer); |
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655 #endif |
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656 |
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657 if (TraceGPUInteraction) { |
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658 tty->print_cr("[CUDA] Success: library linkage"); |
10879 | 659 } |
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660 return true; |
10879 | 661 } |