1 /*
2 * Copyright (c) 2024, 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. Oracle designates this
8 * particular file as subject to the "Classpath" exception as provided
9 * by Oracle in the LICENSE file that accompanied this code.
10 *
11 * This code is distributed in the hope that it will be useful, but WITHOUT
12 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
13 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
14 * version 2 for more details (a copy is included in the LICENSE file that
15 * accompanied this code).
16 *
17 * You should have received a copy of the GNU General Public License version
18 * 2 along with this work; if not, write to the Free Software Foundation,
19 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
20 *
21 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
22 * or visit www.oracle.com if you need additional information or have any
23 * questions.
24 */
25
26 #include <sys/wait.h>
27 #include <chrono>
28 #include "cuda_backend.h"
29 #include <iostream>
30
31 PtxSource::PtxSource()
32 : Text(0L) {
33 }
34
35 PtxSource::PtxSource(size_t len)
36 : Text(len) {
37 }
38
39 PtxSource::PtxSource(char *text)
40 : Text(text, false) {
41 }
42
43 PtxSource::PtxSource(size_t len, char *text)
44 : Text(len, text, true) {
45 }
46 PtxSource::PtxSource(size_t len, char *text, bool isCopy)
47 : Text(len, text, isCopy) {
48 }
49
50 CudaSource::CudaSource(size_t len)
51 : Text(len) {
52 }
53
54 CudaSource::CudaSource(char *text)
55 : Text(text, false) {
56 }
57
58 CudaSource::CudaSource(size_t len, char *text, bool isCopy)
59 : Text(len, text, isCopy) {
60 }
61
62 CudaSource::CudaSource()
63 : Text(0) {
64 }
65
66 uint64_t timeSinceEpochMillisec() {
67 using namespace std::chrono;
68 return duration_cast<milliseconds>(system_clock::now().time_since_epoch()).count();
69 }
70
71 std::string tmpFileName(uint64_t time, const std::string &suffix) {
72 std::stringstream timestamp;
73 timestamp << "./tmp" << time << suffix;
74 return timestamp.str();
75 }
76
77 CudaBackend::CudaBackend(int configBits)
78 : Backend(new Config(configBits), new CudaQueue(this)), initStatus(cuInit(0)), device(), context() {
79 int deviceCount = 0;
80
81 if (initStatus == CUDA_SUCCESS) {
82 CUDA_CHECK(cuDeviceGetCount(&deviceCount), "cuDeviceGetCount");
83 std::cout << "CudaBackend device count = " << deviceCount << std::endl;
84 CUDA_CHECK(cuDeviceGet(&device, 0), "cuDeviceGet");
85 #if defined(CUDA_VERSION) && CUDA_VERSION >= 12080
86 CUctxCreateParams ctxCreateParams = {};
87 CUDA_CHECK(cuCtxCreate_v4(&context, &ctxCreateParams, 0, device), "cuCtxCreate");
88 #else
89 // Invoke previous implementation with 3 parameters
90 CUDA_CHECK(cuCtxCreate(&context, 0, device), "cuCtxCreate");
91 #endif
92 std::cout << "CudaBackend context created ok (id=" << context << ")" << std::endl;
93 dynamic_cast<CudaQueue *>(queue)->init();
94 } else {
95 CUDA_CHECK(initStatus, "cuInit() failed we seem to have the runtime library but no device");
96 }
97 }
98
99 CudaBackend::~CudaBackend() {
100 std::cout << "freeing context" << std::endl;
101 CUDA_CHECK(cuCtxDestroy(context), "cuCtxDestroy");
102 }
103
104 void CudaBackend::info() {
105 char name[100];
106 CUDA_CHECK(cuDeviceGetName(name, sizeof(name), device), "cuDeviceGetName");
107
108 std::cout << "> Using device 0: " << name << std::endl;
109
110 // get compute capabilities and the device name
111 int major = 0, minor = 0;
112 CUDA_CHECK(cuDeviceGetAttribute(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, device), "cuDeviceGetAttribute");
113 CUDA_CHECK(cuDeviceGetAttribute(&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, device), "cuDeviceGetAttribute");
114 std::cout << "> GPU Device has major=" << major << " minor=" << minor << " compute capability" << std::endl;
115
116 int warpSize;
117 CUDA_CHECK(cuDeviceGetAttribute(&warpSize, CU_DEVICE_ATTRIBUTE_WARP_SIZE, device), "cuDeviceGetAttribute");
118 std::cout << "> GPU Device has warpSize " << warpSize << std::endl;
119
120 int threadsPerBlock;
121 CUDA_CHECK(cuDeviceGetAttribute(&threadsPerBlock, CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK, device), "cuDeviceGetAttribute");
122 std::cout << "> GPU Device has threadsPerBlock " << threadsPerBlock << std::endl;
123
124 int cores;
125 CUDA_CHECK(cuDeviceGetAttribute(&cores, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, device), "cuDeviceGetAttribute");
126 std::cout << "> GPU Cores " << cores << std::endl;
127
128 size_t totalGlobalMem;
129 CUDA_CHECK(cuDeviceTotalMem(&totalGlobalMem, device), "cuDeviceTotalMem");
130 std::cout << " Total amount of global memory: " << (unsigned long long) totalGlobalMem << std::endl;
131 std::cout << " 64-bit Memory Address: " <<
132 ((totalGlobalMem > static_cast<unsigned long long>(4) * 1024 * 1024 * 1024L) ? "YES" : "NO") << std::endl;
133 }
134
135 PtxSource *CudaBackend::nvcc(const CudaSource *cudaSource) {
136 const uint64_t time = timeSinceEpochMillisec();
137 const std::string ptxPath = tmpFileName(time, ".ptx");
138 const std::string cudaPath = tmpFileName(time, ".cu");
139 int pid;
140 cudaSource->write(cudaPath);
141 if ((pid = fork()) == 0) { //child
142 const auto path = "/usr/local/cuda/bin/nvcc";
143 const char *argv[] {
144 "/usr/local/cuda/bin/nvcc",
145 "-ptx",
146 "-Wno-deprecated-gpu-targets",
147 cudaPath.c_str(),
148 "-o",
149 ptxPath.c_str(),
150 nullptr
151 };
152 const int stat = execvp(path, (char *const *) argv);
153 std::cerr << " nvcc stat = " << stat << " errno=" << errno << " '" << std::strerror(errno) << "'" << std::endl;
154 std::exit(errno);
155 } else if (pid < 0) {// fork failed.
156 std::cerr << "fork of nvcc failed" << std::endl;
157 std::exit(1);
158 } else { //parent
159 int status;
160 pid_t result = wait(&status);
161 auto *ptx = new PtxSource();
162 ptx->read(ptxPath);
163 return ptx;
164 }
165 }
166
167 CudaBackend::CudaModule *CudaBackend::compile(const CudaSource &cudaSource) {
168 return compile(&cudaSource);
169 }
170
171 CudaBackend::CudaModule *CudaBackend::compile(const CudaSource *cudaSource) {
172 const PtxSource *ptxSource = nvcc(cudaSource);
173 return compile(ptxSource);
174 }
175
176 CudaBackend::CudaModule *CudaBackend::compile(const PtxSource &ptxSource) {
177 return compile(&ptxSource);
178 }
179
180 CudaBackend::CudaModule *CudaBackend::compile(const PtxSource *ptx) {
181 CUmodule module;
182 if (ptx->text != nullptr) {
183 const Log *infLog = new Log(8192);
184 const Log *errLog = new Log(8192);
185 constexpr unsigned int optc = 5;
186 const auto jitOptions = new CUjit_option[optc];
187 auto jitOptVals = new void *[optc];
188
189 jitOptions[0] = CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES;
190 jitOptVals[0] = reinterpret_cast<void *>(infLog->len);
191 jitOptions[1] = CU_JIT_INFO_LOG_BUFFER;
192 jitOptVals[1] = infLog->text;
193 jitOptions[2] = CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES;
194 jitOptVals[2] = reinterpret_cast<void *>(errLog->len);
195 jitOptions[3] = CU_JIT_ERROR_LOG_BUFFER;
196 jitOptVals[3] = errLog->text;
197 jitOptions[4] = CU_JIT_GENERATE_LINE_INFO;
198 jitOptVals[4] = reinterpret_cast<void *>(1);
199
200 CUDA_CHECK(cuCtxSetCurrent(context), "cuCtxSetCurrent");
201 CUDA_CHECK(cuModuleLoadDataEx(&module, ptx->text, optc, jitOptions, (void **) jitOptVals), "cuModuleLoadDataEx");
202
203 if (*infLog->text!='\0'){
204 std::cout << "> PTX JIT inflog:" << std::endl << infLog->text << std::endl;
205 }
206 if (*errLog->text!='\0'){
207 std::cout << "> PTX JIT errlog:" << std::endl << errLog->text << std::endl;
208 }
209 return new CudaModule(this, ptx->text, infLog->text, true, module);
210
211 //delete ptx;
212 } else {
213 std::cout << "no ptx content!" << std::endl;
214 exit(1);
215 }
216 }
217
218 //Entry point from HAT. We use the config PTX bit to determine which Source type
219
220 Backend::CompilationUnit *CudaBackend::compile(const int len, char *source) {
221 if (config->traceCalls) {
222 std::cout << "inside compileProgram" << std::endl;
223 }
224
225 if (config->ptx){
226 if (config->trace) {
227 std::cout << "compiling from provided ptx " << std::endl;
228 }
229 PtxSource ptxSource(len, source, false);
230 return compile(ptxSource);
231 }else{
232 if (config->trace) {
233 std::cout << "compiling from provided cuda " << std::endl;
234 }
235 CudaSource cudaSource(len , source, false);
236 return compile(cudaSource);
237 }
238 }
239
240 /*
241
242 if (config->ptx) {
243
244 } else {
245 if (config->trace) {
246 std::cout << "compiling from cuda c99 " << std::endl;
247 }
248 if (config->showCode) {
249 std::cout << "cuda " << source << std::endl;
250 }
251 auto* cuda = new CudaSource(len, source, false);
252 ptx = nvcc(cuda);
253 }
254 if (config->showCode) {
255 std::cout << "ptx " << ptx->text << std::endl;
256 }
257 CUmodule module;
258
259
260 if (ptx->text != nullptr) {
261 constexpr unsigned int jitNumOptions = 2;
262 const auto jitOptions = new CUjit_option[jitNumOptions];
263 const auto jitOptVals = new void *[jitNumOptions];
264
265 // set up size of compilation log buffer
266 jitOptions[0] = CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES;
267 constexpr int jitLogBufferSize = 8192;
268 jitOptVals[0] = reinterpret_cast<void *>(jitLogBufferSize);
269
270 // set up pointer to the compilation log buffer
271 jitOptions[1] = CU_JIT_INFO_LOG_BUFFER;
272 auto jitLogBuffer = new char[jitLogBufferSize];
273 jitOptVals[1] = jitLogBuffer;
274 cuCtxSetCurrent(context);
275
276 WHERE{
277 .f = __FILE__, .l = __LINE__,
278 .e = cuModuleLoadDataEx(&module, ptx->text, jitNumOptions, jitOptions, jitOptVals),
279 .t = "cuModuleLoadDataEx"
280 }.report();
281 if (jitLogBuffer != nullptr && *jitLogBuffer!='\0'){
282 std::cout << "PTX log:" << jitLogBuffer << std::endl;
283 }
284 return new CudaModule(this, ptx->text, jitLogBuffer, true, module);
285 } else {
286 std::cout << "no ptx content!" << std::endl;
287 exit(1);
288 }
289 } */
290
291 extern "C" long getBackend(int mode) {
292 long backendHandle = reinterpret_cast<long>(new CudaBackend(mode));
293 // std::cout << "getBackend() -> backendHandle=" << std::hex << backendHandle << std::dec << std::endl;
294 return backendHandle;
295 }
296
297 void clCallback(void *) {
298 std::cerr << "start of compute" << std::endl;
299 }
300
301 void CudaBackend::computeEnd() {
302 queue->computeEnd();
303 }
304
305 void CudaBackend::computeStart() {
306 queue->computeStart();
307 }
308
309 bool CudaBackend::getBufferFromDeviceIfDirty(void *memorySegment, long memorySegmentLength) {
310 if (config->traceCalls) {
311 std::cout << "getBufferFromDeviceIfDirty(" << std::hex << reinterpret_cast<long>(memorySegment) << "," <<
312 std::dec << memorySegmentLength << "){" << std::endl;
313 }
314 if (config->minimizeCopies) {
315 const BufferState *bufferState = BufferState::of(memorySegment, memorySegmentLength);
316 if (bufferState->state == BufferState::DEVICE_OWNED) {
317 queue->copyFromDevice(static_cast<Backend::Buffer *>(bufferState->vendorPtr));
318 if (config->traceEnqueues | config->traceCopies) {
319 std::cout << "copying buffer from device (from java access) " << std::endl;
320 }
321 queue->wait();
322 queue->release();
323 } else {
324 std::cout << "HOW DID WE GET HERE 1 attempting to get buffer but buffer is not device dirty" << std::endl;
325 std::exit(1);
326 }
327 } else {
328 std::cerr <<
329 "HOW DID WE GET HERE ? java side should avoid calling getBufferFromDeviceIfDirty as we are not minimising buffers!"
330 << std::endl;
331 std::exit(1);
332 }
333 if (config->traceCalls) {
334 std::cout << "}getBufferFromDeviceIfDirty()" << std::endl;
335 }
336 return true;
337 }
338
339 CudaBackend *CudaBackend::of(const long backendHandle) {
340 return reinterpret_cast<CudaBackend *>(backendHandle);
341 }
342
343 CudaBackend *CudaBackend::of(Backend *backend) {
344 return dynamic_cast<CudaBackend *>(backend);
345 }
346
347 CudaBackend::CudaBuffer *CudaBackend::getOrCreateBuffer(BufferState *bufferState) {
348 CudaBuffer *cudaBuffer = nullptr;
349 if (bufferState->vendorPtr == nullptr || bufferState->state == BufferState::NEW_STATE) {
350 cudaBuffer = new CudaBuffer(this, bufferState);
351 if (config->trace) {
352 std::cout << "We allocated arg buffer " << std::endl;
353 }
354 } else {
355 if (config->trace) {
356 std::cout << "Were reusing buffer buffer " << std::endl;
357 }
358 cudaBuffer = static_cast<CudaBuffer *>(bufferState->vendorPtr);
359 }
360 return cudaBuffer;
361 }