Mandel.cpp 13 KB

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  1. #include "Mandel.h"
  2. #include "Fixed.h"
  3. #include "CpuGenerators.h"
  4. #include "ClGenerators.h"
  5. #include "OpenClInternal.h"
  6. #include "OpenClCode.h"
  7. #include <asmjit/asmjit.h>
  8. #include <map>
  9. using mnd::MandelDevice;
  10. using mnd::MandelContext;
  11. using mnd::MandelGenerator;
  12. using mnd::AdaptiveGenerator;
  13. template<typename T, typename U>
  14. static std::map<U, T> invertMap(const std::map<T, U>& m)
  15. {
  16. std::map<U, T> res;
  17. std::transform(m.begin(), m.end(), std::inserter(res, res.end()), [](auto& pair) {
  18. return std::pair{ pair.second, pair.first };
  19. });
  20. return res;
  21. }
  22. static const std::map<mnd::GeneratorType, std::string> typeNames =
  23. {
  24. { mnd::GeneratorType::FLOAT, "float" },
  25. { mnd::GeneratorType::FLOAT_SSE2, "float SSE2" },
  26. { mnd::GeneratorType::FLOAT_AVX, "float AVX" },
  27. { mnd::GeneratorType::FLOAT_AVX_FMA, "float AVX+FMA" },
  28. { mnd::GeneratorType::FLOAT_AVX512, "float AVX512" },
  29. { mnd::GeneratorType::FLOAT_NEON, "float NEON" },
  30. { mnd::GeneratorType::DOUBLE_FLOAT, "double float" },
  31. { mnd::GeneratorType::DOUBLE, "double" },
  32. { mnd::GeneratorType::DOUBLE_SSE2, "double SSE2" },
  33. { mnd::GeneratorType::DOUBLE_AVX, "double AVX" },
  34. { mnd::GeneratorType::DOUBLE_AVX_FMA, "double AVX+FMA" },
  35. { mnd::GeneratorType::DOUBLE_AVX512, "double AVX512" },
  36. { mnd::GeneratorType::DOUBLE_NEON, "double NEON" },
  37. { mnd::GeneratorType::DOUBLE_DOUBLE, "double double" },
  38. { mnd::GeneratorType::DOUBLE_DOUBLE_AVX, "double double AVX" },
  39. { mnd::GeneratorType::DOUBLE_DOUBLE_AVX_FMA, "double double AVX+FMA" },
  40. { mnd::GeneratorType::QUAD_DOUBLE, "quad double" },
  41. { mnd::GeneratorType::FLOAT128, "float128" },
  42. { mnd::GeneratorType::FLOAT256, "float256" },
  43. { mnd::GeneratorType::FIXED64, "fixed64" },
  44. { mnd::GeneratorType::FIXED128, "fixed128" },
  45. { mnd::GeneratorType::FIXED512, "fixed512" },
  46. };
  47. static const std::map<std::string, mnd::GeneratorType> nameTypes = invertMap(typeNames);
  48. namespace mnd
  49. {
  50. const std::string& getGeneratorName(mnd::GeneratorType type)
  51. {
  52. return typeNames.at(type);
  53. }
  54. mnd::GeneratorType getTypeFromName(const std::string& name)
  55. {
  56. return nameTypes.at(name);
  57. }
  58. }
  59. MandelContext mnd::initializeContext(void)
  60. {
  61. return MandelContext();
  62. }
  63. MandelDevice::MandelDevice(mnd::ClDeviceWrapper device) :
  64. clDevice{ std::make_unique<ClDeviceWrapper>(std::move(device)) }
  65. {
  66. extensions = clDevice->device.getInfo<CL_DEVICE_EXTENSIONS>();
  67. }
  68. mnd::MandelGenerator* MandelDevice::getGenerator(mnd::GeneratorType type) const
  69. {
  70. auto it = mandelGenerators.find(type);
  71. if (it != mandelGenerators.end())
  72. return it->second.get();
  73. else
  74. return nullptr;
  75. }
  76. std::vector<mnd::GeneratorType> MandelDevice::getSupportedTypes(void) const
  77. {
  78. std::vector<GeneratorType> types;
  79. for (auto& [type, gen] : mandelGenerators) {
  80. types.push_back(type);
  81. }
  82. return types;
  83. }
  84. bool MandelDevice::supportsDouble(void) const
  85. {
  86. return extensions.find("cl_khr_fp64") != std::string::npos;
  87. }
  88. MandelContext::MandelContext(void) :
  89. jitRuntime{ std::make_unique<asmjit::JitRuntime>() }
  90. {
  91. #if defined(__x86_64__) || defined(_M_X64) || defined(__i386) || defined(_M_IX86)
  92. if (cpuInfo.hasAvx512()) {
  93. auto fl = std::make_unique<CpuGenerator<float, mnd::X86_AVX_512, true>>();
  94. auto db = std::make_unique<CpuGenerator<double, mnd::X86_AVX_512, true>>();
  95. cpuGenerators.insert({ GeneratorType::FLOAT_AVX512, std::move(fl) });
  96. cpuGenerators.insert({ GeneratorType::DOUBLE_AVX512, std::move(db) });
  97. }
  98. if (cpuInfo.hasAvx()) {
  99. auto fl = std::make_unique<CpuGenerator<float, mnd::X86_AVX, true>>();
  100. auto db = std::make_unique<CpuGenerator<double, mnd::X86_AVX, true>>();
  101. auto ddb = std::make_unique<CpuGenerator<DoubleDouble, mnd::X86_AVX, true>>();
  102. cpuGenerators.insert({ GeneratorType::FLOAT_AVX, std::move(fl) });
  103. cpuGenerators.insert({ GeneratorType::DOUBLE_AVX, std::move(db) });
  104. cpuGenerators.insert({ GeneratorType::DOUBLE_DOUBLE_AVX, std::move(ddb) });
  105. if (cpuInfo.hasFma()) {
  106. auto favxfma = std::make_unique<CpuGenerator<float, mnd::X86_AVX_FMA, true>>();
  107. auto davxfma = std::make_unique<CpuGenerator<double, mnd::X86_AVX_FMA, true>>();
  108. auto ddavx = std::make_unique<CpuGenerator<DoubleDouble, mnd::X86_AVX_FMA, true>>();
  109. cpuGenerators.insert({ GeneratorType::FLOAT_AVX_FMA, std::move(favxfma) });
  110. cpuGenerators.insert({ GeneratorType::DOUBLE_AVX_FMA, std::move(davxfma) });
  111. cpuGenerators.insert({ GeneratorType::DOUBLE_DOUBLE_AVX_FMA, std::move(ddavx) });
  112. }
  113. }
  114. if (cpuInfo.hasSse2()) {
  115. auto fl = std::make_unique<CpuGenerator<float, mnd::X86_SSE2, true>>();
  116. auto db = std::make_unique<CpuGenerator<double, mnd::X86_SSE2, true>>();
  117. cpuGenerators.insert({ GeneratorType::FLOAT_SSE2, std::move(fl) });
  118. cpuGenerators.insert({ GeneratorType::DOUBLE_SSE2, std::move(db) });
  119. }
  120. #elif defined(__arm__) || defined(__aarch64__) || defined(_M_ARM)
  121. if (cpuInfo.hasNeon()) {
  122. auto fl = std::make_unique<CpuGenerator<float, mnd::ARM_NEON, true>>();
  123. auto db = std::make_unique<CpuGenerator<double, mnd::ARM_NEON, true>>();
  124. cpuGenerators.insert({ GeneratorType::FLOAT_NEON, std::move(fl) });
  125. cpuGenerators.insert({ GeneratorType::DOUBLE_NEON, std::move(db) });
  126. }
  127. #endif
  128. {
  129. auto fl = std::make_unique<CpuGenerator<float, mnd::NONE, true>>();
  130. auto db = std::make_unique<CpuGenerator<double, mnd::NONE, true>>();
  131. cpuGenerators.insert({ GeneratorType::FLOAT, std::move(fl) });
  132. cpuGenerators.insert({ GeneratorType::DOUBLE, std::move(db) });
  133. auto fx64 = std::make_unique<CpuGenerator<Fixed64, mnd::NONE, true>>();
  134. auto fx128 = std::make_unique<CpuGenerator<Fixed128, mnd::NONE, true>>();
  135. cpuGenerators.insert({ GeneratorType::FIXED64, std::move(fx64) });
  136. cpuGenerators.insert({ GeneratorType::FIXED128, std::move(fx128) });
  137. }
  138. #ifdef WITH_BOOST
  139. auto quad = std::make_unique<CpuGenerator<Float128, mnd::NONE, true>>();
  140. auto oct = std::make_unique<CpuGenerator<Float256, mnd::NONE, true>>();
  141. cpuGenerators.insert({ GeneratorType::FLOAT128, std::move(quad) });
  142. cpuGenerators.insert({ GeneratorType::FLOAT256, std::move(oct) });
  143. #endif // WITH_BOOST
  144. auto dd = std::make_unique<CpuGenerator<DoubleDouble, mnd::NONE, true>>();
  145. auto qd = std::make_unique<CpuGenerator<QuadDouble, mnd::NONE, true>>();
  146. cpuGenerators.insert({ GeneratorType::DOUBLE_DOUBLE, std::move(dd) });
  147. cpuGenerators.insert({ GeneratorType::QUAD_DOUBLE, std::move(qd) });
  148. auto fix512 = std::make_unique<CpuGenerator<Fixed512, mnd::NONE, true>>();
  149. cpuGenerators.insert({ GeneratorType::FIXED512, std::move(fix512) });
  150. devices = createDevices();
  151. adaptiveGenerator = createAdaptiveGenerator();
  152. }
  153. std::unique_ptr<mnd::AdaptiveGenerator> MandelContext::createAdaptiveGenerator(void)
  154. {
  155. auto* floatGen = getCpuGenerator(GeneratorType::FLOAT);
  156. auto* doubleGen = getCpuGenerator(GeneratorType::DOUBLE);
  157. auto* doubleDoubleGen = getCpuGenerator(GeneratorType::DOUBLE_DOUBLE);
  158. auto* quadDoubleGen = getCpuGenerator(GeneratorType::QUAD_DOUBLE);
  159. auto* f256Gen = getCpuGenerator(GeneratorType::FLOAT256);
  160. auto* fix512 = getCpuGenerator(GeneratorType::FIXED512);
  161. if (cpuInfo.hasAvx()) {
  162. floatGen = getCpuGenerator(GeneratorType::FLOAT_AVX);
  163. doubleGen = getCpuGenerator(GeneratorType::DOUBLE_AVX);
  164. }
  165. else if (cpuInfo.hasSse2()) {
  166. floatGen = getCpuGenerator(GeneratorType::FLOAT_SSE2);
  167. doubleGen = getCpuGenerator(GeneratorType::DOUBLE_SSE2);
  168. }
  169. if (cpuInfo.hasAvx() && cpuInfo.hasFma()) {
  170. floatGen = getCpuGenerator(GeneratorType::FLOAT_AVX_FMA);
  171. doubleGen = getCpuGenerator(GeneratorType::DOUBLE_AVX_FMA);
  172. doubleDoubleGen = getCpuGenerator(GeneratorType::DOUBLE_DOUBLE_AVX_FMA);
  173. }
  174. if (cpuInfo.hasAvx512()) {
  175. floatGen = getCpuGenerator(GeneratorType::FLOAT_AVX512);
  176. doubleGen = getCpuGenerator(GeneratorType::DOUBLE_AVX512);
  177. }
  178. if (cpuInfo.hasNeon()) {
  179. floatGen = getCpuGenerator(GeneratorType::FLOAT_NEON);
  180. doubleGen = getCpuGenerator(GeneratorType::DOUBLE_NEON);
  181. }
  182. if (!devices.empty()) {
  183. auto& device = devices[0];
  184. auto* fGen = device->getGenerator(GeneratorType::FLOAT);
  185. auto* dGen = device->getGenerator(GeneratorType::DOUBLE);
  186. auto* ddGen = device->getGenerator(GeneratorType::DOUBLE_DOUBLE);
  187. auto* qdGen = device->getGenerator(GeneratorType::QUAD_DOUBLE);
  188. if (fGen)
  189. floatGen = fGen;
  190. if (dGen)
  191. doubleGen = dGen;
  192. if (ddGen)
  193. doubleDoubleGen = ddGen;
  194. if (qdGen)
  195. quadDoubleGen = qdGen;
  196. }
  197. auto ag = std::make_unique<AdaptiveGenerator>();
  198. ag->addGenerator(getPrecision<float>(), *floatGen);
  199. ag->addGenerator(getPrecision<double>(), *doubleGen);
  200. ag->addGenerator(getPrecision<DoubleDouble>(), *doubleDoubleGen);
  201. ag->addGenerator(getPrecision<QuadDouble>(), *quadDoubleGen);
  202. ag->addGenerator(getPrecision<Float256>(), *f256Gen);
  203. ag->addGenerator(Precision::INF_PREC, *fix512);
  204. return ag;
  205. }
  206. std::vector<std::unique_ptr<MandelDevice>> MandelContext::createDevices(void)
  207. {
  208. std::vector<std::unique_ptr<MandelDevice>> mandelDevices;
  209. #ifdef WITH_OPENCL
  210. std::vector<cl::Platform> platforms;
  211. cl::Platform::get(&platforms);
  212. //platforms.erase(platforms.begin() + 1);
  213. for (auto& platform : platforms) {
  214. std::string name = platform.getInfo<CL_PLATFORM_NAME>();
  215. std::string profile = platform.getInfo<CL_PLATFORM_PROFILE>();
  216. //printf("using opencl platform: %s\n", name.c_str());
  217. //std::string ext = platform.getInfo<CL_PLATFORM_EXTENSIONS>();
  218. //printf("Platform extensions: %s\n", ext.c_str());
  219. //printf("Platform: %s, %s\n", name.c_str(), profile.c_str());
  220. std::vector<cl::Device> devices;
  221. platform.getDevices(CL_DEVICE_TYPE_GPU, &devices);
  222. for (auto& device : devices) {
  223. //printf("Device: %s\n", device.getInfo<CL_DEVICE_NAME>().c_str());
  224. //printf("preferred float width: %d\n", device.getInfo<CL_DEVICE_PREFERRED_VECTOR_WIDTH_FLOAT>());
  225. //printf("vendor: %s\n", device.getInfo<CL_DEVICE_VENDOR>().c_str());
  226. //printf("Device extensions: %s\n", ext.c_str());
  227. auto mandelDevice = std::make_unique<mnd::MandelDevice>(
  228. ClDeviceWrapper{ device, cl::Context{ device } });
  229. MandelDevice& md = *mandelDevice;
  230. auto supportsDouble = md.supportsDouble();
  231. //printf("clock: %d", device.getInfo<CL_DEVICE_MAX_CLOCK_FREQUENCY>());
  232. md.name = device.getInfo<CL_DEVICE_NAME>();
  233. md.vendor = device.getInfo<CL_DEVICE_VENDOR>();
  234. //printf(" using opencl device: %s\n", md.name.c_str());
  235. try {
  236. md.mandelGenerators.insert({ GeneratorType::FLOAT, std::make_unique<ClGeneratorFloat>(md) });
  237. md.mandelGenerators.insert({ GeneratorType::FIXED64, std::make_unique<ClGenerator64>(md) });
  238. md.mandelGenerators.insert({ GeneratorType::DOUBLE_FLOAT, std::make_unique<ClGeneratorDoubleFloat>(md) });
  239. }
  240. catch (const std::string& err) {
  241. printf("err: %s", err.c_str());
  242. }
  243. if (supportsDouble) {
  244. try {
  245. md.mandelGenerators.insert({ GeneratorType::DOUBLE, std::make_unique<ClGeneratorDouble>(md) });
  246. md.mandelGenerators.insert({ GeneratorType::DOUBLE_DOUBLE, std::make_unique<ClGeneratorDoubleDouble>(md) });
  247. md.mandelGenerators.insert({ GeneratorType::QUAD_DOUBLE, std::make_unique<ClGeneratorQuadDouble>(md) });
  248. }
  249. catch (const std::string& err) {
  250. printf("err: %s", err.c_str());
  251. fflush(stdout);
  252. }
  253. }
  254. try {
  255. //md.generator128 = std::make_unique<ClGenerator128>(device);
  256. }
  257. catch (const std::string& /*err*/) {
  258. //fprintf(stderr, "error creating 128bit cl generator: %s\n", err.c_str());
  259. }
  260. mandelDevices.push_back(std::move(mandelDevice));
  261. }
  262. }
  263. #endif // WITH_OPENCL
  264. return mandelDevices;
  265. }
  266. MandelContext::~MandelContext(void)
  267. {
  268. }
  269. AdaptiveGenerator& MandelContext::getDefaultGenerator(void)
  270. {
  271. return *adaptiveGenerator;
  272. }
  273. std::vector<std::unique_ptr<mnd::MandelDevice>>& MandelContext::getDevices(void)
  274. {
  275. return devices;
  276. }
  277. asmjit::JitRuntime& MandelContext::getJitRuntime(void)
  278. {
  279. return *jitRuntime;
  280. }
  281. MandelGenerator* MandelContext::getCpuGenerator(mnd::GeneratorType type)
  282. {
  283. auto it = cpuGenerators.find(type);
  284. if (it != cpuGenerators.end())
  285. return it->second.get();
  286. else
  287. return nullptr;
  288. }
  289. std::vector<mnd::GeneratorType> MandelContext::getSupportedTypes(void) const
  290. {
  291. std::vector<GeneratorType> types;
  292. for (auto& [type, gen] : cpuGenerators) {
  293. types.push_back(type);
  294. }
  295. return types;
  296. }