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comparison src/gpu/ptx/vm/gpu_ptx.cpp @ 10879:d55f24eac4b1

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PTX support for Linux
author Morris Meyer <morris.meyer@oracle.com>
date Thu, 25 Jul 2013 22:15:30 -0400
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children 6a2d65cb5d7d
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10878:d9fcc82766da 10879:d55f24eac4b1
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"
26 #include "runtime/gpu.hpp"
27 #include "utilities/globalDefinitions.hpp"
28 #include "utilities/ostream.hpp"
29
30 void * gpu::Ptx::_device_context;
31
32 gpu::Ptx::cuda_cu_init_func_t gpu::Ptx::_cuda_cu_init;
33 gpu::Ptx::cuda_cu_ctx_create_func_t gpu::Ptx::_cuda_cu_ctx_create;
34 gpu::Ptx::cuda_cu_ctx_detach_func_t gpu::Ptx::_cuda_cu_ctx_detach;
35 gpu::Ptx::cuda_cu_ctx_synchronize_func_t gpu::Ptx::_cuda_cu_ctx_synchronize;
36 gpu::Ptx::cuda_cu_device_get_count_func_t gpu::Ptx::_cuda_cu_device_get_count;
37 gpu::Ptx::cuda_cu_device_get_name_func_t gpu::Ptx::_cuda_cu_device_get_name;
38 gpu::Ptx::cuda_cu_device_get_func_t gpu::Ptx::_cuda_cu_device_get;
39 gpu::Ptx::cuda_cu_device_compute_capability_func_t gpu::Ptx::_cuda_cu_device_compute_capability;
40 gpu::Ptx::cuda_cu_device_get_attribute_func_t gpu::Ptx::_cuda_cu_device_get_attribute;
41 gpu::Ptx::cuda_cu_launch_kernel_func_t gpu::Ptx::_cuda_cu_launch_kernel;
42 gpu::Ptx::cuda_cu_module_get_function_func_t gpu::Ptx::_cuda_cu_module_get_function;
43 gpu::Ptx::cuda_cu_module_load_data_ex_func_t gpu::Ptx::_cuda_cu_module_load_data_ex;
44
45 void gpu::probe_linkage() {
46 #if defined(__APPLE__) || defined(LINUX)
47 set_gpu_linkage(gpu::Ptx::probe_linkage());
48 #else
49 set_gpu_linkage(false);
50 #endif
51 }
52
53 void gpu::initialize_gpu() {
54 if (gpu::has_gpu_linkage()) {
55 set_initialized(gpu::Ptx::initialize_gpu());
56 }
57 }
58
59 void * gpu::generate_kernel(unsigned char *code, int code_len, const char *name) {
60 if (gpu::has_gpu_linkage()) {
61 return (gpu::Ptx::generate_kernel(code, code_len, name));
62 } else {
63 return NULL;
64 }
65 }
66
67 bool gpu::execute_kernel(address kernel) {
68 if (gpu::has_gpu_linkage()) {
69 return (gpu::Ptx::execute_kernel(kernel));
70 } else {
71 return false;
72 }
73 }
74
75 bool gpu::Ptx::initialize_gpu() {
76
77 /* Initialize CUDA driver API */
78 int status = _cuda_cu_init(0);
79 if (status != GRAAL_CUDA_SUCCESS) {
80 tty->print_cr("Failed to initialize CUDA device");
81 return false;
82 }
83
84 if (TraceGPUInteraction) {
85 tty->print_cr("CUDA driver initialization: Success");
86 }
87
88 /* Get the number of compute-capable device count */
89 int device_count = 0;
90 status = _cuda_cu_device_get_count(&device_count);
91 if (status != GRAAL_CUDA_SUCCESS) {
92 tty->print_cr("[CUDA] Failed to get compute-capable device count");
93 return false;
94 }
95
96 if (device_count == 0) {
97 tty->print_cr("[CUDA] Found no device supporting CUDA");
98 return false;
99 }
100
101 if (TraceGPUInteraction) {
102 tty->print_cr("[CUDA] Number of compute-capable devices found: %d", device_count);
103 }
104
105 /* Get the handle to the first compute device */
106 int device_id = 0;
107 /* Compute-capable device handle */
108 int cu_device = 0;
109 status = _cuda_cu_device_get(&cu_device, device_id);
110
111 if (status != GRAAL_CUDA_SUCCESS) {
112 tty->print_cr("[CUDA] Failed to get handle of first compute-capable device i.e., the one at ordinal: %d", device_id);
113 return false;
114 }
115
116 if (TraceGPUInteraction) {
117 tty->print_cr("[CUDA] Got the handle of first compute-device");
118 }
119
120 /* Get device attributes */
121 int minor, major;
122 status = _cuda_cu_device_get_attribute(&minor, GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, cu_device);
123
124 if (status != GRAAL_CUDA_SUCCESS) {
125 tty->print_cr("[CUDA] Failed to get minor attribute of device: %d", cu_device);
126 return false;
127 }
128
129 status = _cuda_cu_device_get_attribute(&major, GRAAL_CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, cu_device);
130
131 if (status != GRAAL_CUDA_SUCCESS) {
132 tty->print_cr("[CUDA] Failed to get major attribute of device: %d", cu_device);
133 return false;
134 }
135
136 if (TraceGPUInteraction) {
137 tty->print_cr("[CUDA] Compatibility version of device %d: %d.%d", cu_device, major, minor);
138 }
139
140 /* Get device name */
141 char device_name[256];
142 status = _cuda_cu_device_get_name(device_name, 256, cu_device);
143
144 if (status != GRAAL_CUDA_SUCCESS) {
145 tty->print_cr("[CUDA] Failed to get name of device: %d", cu_device);
146 return false;
147 }
148
149 if (TraceGPUInteraction) {
150 tty->print_cr("[CUDA] Using %s", device_name);
151 }
152
153 /* Create CUDA context */
154 status = _cuda_cu_ctx_create(&_device_context, 0, cu_device);
155
156 if (status != GRAAL_CUDA_SUCCESS) {
157 tty->print_cr("[CUDA] Failed to create CUDA context for device: %d", cu_device);
158 return false;
159 }
160
161 if (TraceGPUInteraction) {
162 tty->print_cr("[CUDA] Success: Created context for device: %d", cu_device);
163 }
164
165 return true;
166 }
167
168 void *gpu::Ptx::generate_kernel(unsigned char *code, int code_len, const char *name) {
169
170 struct CUmod_st * cu_module;
171 // Use three JIT compiler options
172 const unsigned int jit_num_options = 3;
173 int *jit_options = NEW_C_HEAP_ARRAY(int, jit_num_options, mtCompiler);
174 void **jit_option_values = NEW_C_HEAP_ARRAY(void *, jit_num_options, mtCompiler);
175
176 // Set up PTX JIT compiler options
177 // 1. set size of compilation log buffer
178 int jit_log_buffer_size = 1024;
179 jit_options[0] = GRAAL_CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES;
180 jit_option_values[0] = (void *)(size_t)jit_log_buffer_size;
181
182 // 2. set pointer to compilation log buffer
183 char *jit_log_buffer = NEW_C_HEAP_ARRAY(char, jit_log_buffer_size, mtCompiler);
184 jit_options[1] = GRAAL_CU_JIT_INFO_LOG_BUFFER;
185 jit_option_values[1] = jit_log_buffer;
186
187 // 3. set pointer to set the Maximum # of registers (32) for the kernel
188 int jit_register_count = 32;
189 jit_options[2] = GRAAL_CU_JIT_MAX_REGISTERS;
190 jit_option_values[2] = (void *)(size_t)jit_register_count;
191
192 if (TraceGPUInteraction) {
193 tty->print_cr("[CUDA] PTX Kernel\n%s", code);
194 tty->print_cr("[CUDA] Function name : %s", name);
195
196 }
197
198 /* Load module's data with compiler options */
199 int status = _cuda_cu_module_load_data_ex(&cu_module, code, jit_num_options,
200 jit_options, (void **)jit_option_values);
201 if (status != GRAAL_CUDA_SUCCESS) {
202 if (status == GRAAL_CUDA_ERROR_NO_BINARY_FOR_GPU) {
203 tty->print_cr("[CUDA] Check for malformed PTX kernel or incorrect PTX compilation options");
204 }
205 tty->print_cr("[CUDA] *** Error (%d) Failed to load module data with online compiler options for method %s",
206 status, name);
207 return NULL;
208 }
209
210 if (TraceGPUInteraction) {
211 tty->print_cr("[CUDA] Loaded data for PTX Kernel");
212 }
213
214 struct CUfunc_st * cu_function;
215
216 status = _cuda_cu_module_get_function(&cu_function, cu_module, name);
217
218 if (status != GRAAL_CUDA_SUCCESS) {
219 tty->print_cr("[CUDA] Failed to get function %s", name);
220 return NULL;
221 }
222
223 if (TraceGPUInteraction) {
224 tty->print_cr("[CUDA] Got function handle for %s", name);
225 }
226 return cu_function;
227 }
228
229 bool gpu::Ptx::execute_kernel(address kernel) {
230 // grid dimensionality
231 unsigned int gridX = 1;
232 unsigned int gridY = 1;
233 unsigned int gridZ = 1;
234
235 // thread dimensionality
236 unsigned int blockX = 1;
237 unsigned int blockY = 1;
238 unsigned int blockZ = 1;
239
240 int *cu_function = (int *)kernel;
241
242 if (kernel == NULL) {
243 return false;
244 }
245
246 if (TraceGPUInteraction) {
247 tty->print_cr("[CUDA] launching kernel");
248 }
249 int status = _cuda_cu_launch_kernel(cu_function,
250 gridX, gridY, gridZ,
251 blockX, blockY, blockZ,
252 0, NULL, NULL, NULL);
253 if (status != GRAAL_CUDA_SUCCESS) {
254 tty->print_cr("[CUDA] Failed to launch kernel");
255 return false;
256 }
257
258 if (TraceGPUInteraction) {
259 tty->print_cr("[CUDA] Success: Kernel Launch");
260 }
261 return status == 0; // GRAAL_CUDA_SUCCESS
262 }
263
264 #if defined(LINUX)
265 static const char cuda_library_name[] = "libcuda.so";
266 #elif defined(__APPLE__)
267 static char const cuda_library_name[] = "/usr/local/cuda/lib/libcuda.dylib";
268 #else
269 static char const cuda_library_name[] = "";
270 #endif
271
272 bool gpu::Ptx::probe_linkage() {
273 if (cuda_library_name != NULL) {
274 void *handle = dlopen(cuda_library_name, RTLD_LAZY);
275 if (handle != NULL) {
276 _cuda_cu_init =
277 CAST_TO_FN_PTR(cuda_cu_init_func_t, dlsym(handle, "cuInit"));
278 _cuda_cu_ctx_create =
279 CAST_TO_FN_PTR(cuda_cu_ctx_create_func_t, dlsym(handle, "cuCtxCreate"));
280 _cuda_cu_ctx_detach =
281 CAST_TO_FN_PTR(cuda_cu_ctx_detach_func_t, dlsym(handle, "cuCtxDetach"));
282 _cuda_cu_ctx_synchronize =
283 CAST_TO_FN_PTR(cuda_cu_ctx_synchronize_func_t, dlsym(handle, "cuCtxSynchronize"));
284 _cuda_cu_device_get_count =
285 CAST_TO_FN_PTR(cuda_cu_device_get_count_func_t, dlsym(handle, "cuDeviceGetCount"));
286 _cuda_cu_device_get_name =
287 CAST_TO_FN_PTR(cuda_cu_device_get_name_func_t, dlsym(handle, "cuDeviceGetName"));
288 _cuda_cu_device_get =
289 CAST_TO_FN_PTR(cuda_cu_device_get_func_t, dlsym(handle, "cuDeviceGet"));
290 _cuda_cu_device_compute_capability =
291 CAST_TO_FN_PTR(cuda_cu_device_compute_capability_func_t, dlsym(handle, "cuDeviceComputeCapability"));
292 _cuda_cu_device_get_attribute =
293 CAST_TO_FN_PTR(cuda_cu_device_get_attribute_func_t, dlsym(handle, "cuDeviceGetAttribute"));
294 _cuda_cu_module_get_function =
295 CAST_TO_FN_PTR(cuda_cu_module_get_function_func_t, dlsym(handle, "cuModuleGetFunction"));
296 _cuda_cu_module_load_data_ex =
297 CAST_TO_FN_PTR(cuda_cu_module_load_data_ex_func_t, dlsym(handle, "cuModuleLoadDataEx"));
298 _cuda_cu_launch_kernel =
299 CAST_TO_FN_PTR(cuda_cu_launch_kernel_func_t, dlsym(handle, "cuLaunchKernel"));
300 if (TraceGPUInteraction) {
301 tty->print_cr("[CUDA] Success: library linkage");
302 }
303 return true;
304 } else {
305 // Unable to dlopen libcuda
306 tty->print_cr("Use LD_LIBRARY_PATH (or other means) to specify installed location of CUDA library");
307 return false;
308 }
309 } else {
310 tty->print_cr("Unsupported CUDA platform");
311 return false;
312 }
313 tty->print_cr("Failed to find CUDA linkage");
314 return false;
315 }
316