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// Pi Dart Dash in OpenCL in C, illustrative example
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//
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// Emmanuel Quemener <emmanuel.quemener@gmail.com>
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//
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// CC BY-NC-SA 2011 : Emmanuel QUEMENER <emmanuel.quemener@gmail.com>
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// Copyleft Cecill v2
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//
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// -h : print the documentation and detect devices as (platform,device)
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//
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// classical use:
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// #1 OpenCL Plateform ID: get this information with -h option
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// #2 OpenCL Device ID: get this information with -h option
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// #3 Minimal number of iterations:
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// #4 Parallel Rate: scattering global work in parts executed //ly
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// #5 Loops (to improve statistics)
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// #6 Type of variables INT32, INT64, FP32, FP64
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//
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// To compile : gcc -o PiOpenCL PiOpenCL.c -lOpenCL
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#define CL_USE_DEPRECATED_OPENCL_1_2_APIS
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#include <stdio.h> |
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#include <stdlib.h> |
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#include <string.h> |
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#include <CL/cl.h> |
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#include <stdint.h> |
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#include <sys/time.h> |
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#define TINT32 0 |
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#define TINT64 1 |
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#define TFP32 2 |
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#define TFP64 3 |
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int DetectOpenCLDevices(void) |
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{
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int i, j;
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char* value;
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size_t valueSize; |
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cl_uint platformCount; |
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cl_platform_id* platforms; |
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cl_uint deviceCount; |
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cl_device_id* devices; |
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cl_uint maxComputeUnits; |
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cl_int maxWorkGroupSize; |
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cl_int maxWorkItemSizes; |
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cl_device_type dev_type; |
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// get all platforms
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clGetPlatformIDs(0, NULL, &platformCount); |
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platforms = (cl_platform_id*) malloc(sizeof(cl_platform_id) * platformCount);
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clGetPlatformIDs(platformCount, platforms, NULL);
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printf("OpenCL statistics: %d platform(s) detected\n\n",platformCount);
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for (i = 0; i < platformCount; i++) { |
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// get all devices
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clGetDeviceIDs(platforms[i], CL_DEVICE_TYPE_ALL, 0, NULL, &deviceCount); |
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devices = (cl_device_id*) malloc(sizeof(cl_device_id) * deviceCount);
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clGetDeviceIDs(platforms[i], CL_DEVICE_TYPE_ALL, deviceCount, devices, NULL);
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// for each device print critical attributes
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for (j = 0; j < deviceCount; j++) { |
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// print device name
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clGetDeviceInfo(devices[j], CL_DEVICE_NAME, 0, NULL, &valueSize); |
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value = (char*) malloc(valueSize);
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clGetDeviceInfo(devices[j], CL_DEVICE_NAME, valueSize, value, NULL);
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printf("Device (%d,%d): %s\n",i, j, value);
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free(value); |
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// print type device CPU/GPU/ACCELERATOR
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clGetDeviceInfo(devices[j], CL_DEVICE_TYPE, sizeof(dev_type), &dev_type, NULL); |
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printf("\tDevice Type: ");
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if(dev_type & CL_DEVICE_TYPE_GPU)
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printf("CL_DEVICE_TYPE_GPU ");
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if(dev_type & CL_DEVICE_TYPE_CPU)
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printf("CL_DEVICE_TYPE_CPU ");
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if(dev_type & CL_DEVICE_TYPE_ACCELERATOR)
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printf("CL_DEVICE_TYPE_ACCELERATOR ");
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if(dev_type & CL_DEVICE_TYPE_DEFAULT)
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printf("CL_DEVICE_TYPE_DEFAULT ");
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printf("\n");
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// print device vendor
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clGetDeviceInfo(devices[j], CL_DEVICE_VENDOR, 0, NULL, &valueSize); |
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value = (char*) malloc(valueSize);
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clGetDeviceInfo(devices[j], CL_DEVICE_VENDOR, valueSize, value, NULL);
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printf("\tDevice vendor: %s\n", value);
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free(value); |
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// print hardware device version
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clGetDeviceInfo(devices[j], CL_DEVICE_VERSION, 0, NULL, &valueSize); |
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value = (char*) malloc(valueSize);
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clGetDeviceInfo(devices[j], CL_DEVICE_VERSION, valueSize, value, NULL);
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printf("\tHardware version: %s\n", value);
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free(value); |
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// print software driver version
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clGetDeviceInfo(devices[j], CL_DRIVER_VERSION, 0, NULL, &valueSize); |
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value = (char*) malloc(valueSize);
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clGetDeviceInfo(devices[j], CL_DRIVER_VERSION, valueSize, value, NULL);
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printf("\tSoftware version: %s\n", value);
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free(value); |
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// print c version supported by compiler for device
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clGetDeviceInfo(devices[j], CL_DEVICE_OPENCL_C_VERSION, 0, NULL, &valueSize); |
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value = (char*) malloc(valueSize);
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clGetDeviceInfo(devices[j], CL_DEVICE_OPENCL_C_VERSION, valueSize, value, NULL);
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printf("\tOpenCL C version: %s\n", value);
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free(value); |
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// print parallel compute units
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clGetDeviceInfo(devices[j], CL_DEVICE_MAX_COMPUTE_UNITS, |
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sizeof(maxComputeUnits), &maxComputeUnits, NULL); |
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printf("\tParallel compute units: %d\n", maxComputeUnits);
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// print max work group size
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clGetDeviceInfo(devices[j], CL_DEVICE_MAX_WORK_GROUP_SIZE, |
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sizeof(maxWorkGroupSize), &maxWorkGroupSize, NULL); |
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printf("\tMaximum Work Group Size: %d\n", maxWorkGroupSize);
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// print max work items size
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clGetDeviceInfo(devices[j], CL_DEVICE_MAX_WORK_ITEM_SIZES, |
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sizeof(maxWorkItemSizes), &maxWorkItemSizes, NULL); |
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printf("\tMaximum Work Item Sizes: %d\n", maxWorkItemSizes);
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} |
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printf("\n");
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free(devices); |
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} |
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free(platforms); |
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return 0; |
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} |
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const char* OpenCLSource[] = { |
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"#pragma OPENCL EXTENSION cl_khr_fp64: enable \n",
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"// Marsaglia RNG very simple implementation \n",
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"#define znew ((z=36969*(z&65535)+(z>>16))<<16) \n",
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"#define wnew ((w=18000*(w&65535)+(w>>16))&65535) \n",
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"#define MWC (znew+wnew) \n",
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"#define SHR3 (jsr=(jsr=(jsr=jsr^(jsr<<17))^(jsr>>13))^(jsr<<5)) \n",
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"#define CONG (jcong=69069*jcong+1234567) \n",
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"#define KISS ((MWC^CONG)+SHR3) \n",
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"#define MWCfp MWC * 2.328306435454494e-10f \n",
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"#define KISSfp KISS * 2.328306435454494e-10f \n",
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"#define CONGfp CONG * 2.328306435454494e-10f \n",
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"#define SHR3fp SHR3 * 2.328306435454494e-10f \n",
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"#define TINT32 0 \n",
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"#define TINT64 1 \n",
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"#define TFP32 2 \n",
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"#define TFP64 3 \n",
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"#define THEONE32I 1073741824 \n",
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"#define THEONE32F 1.e0f \n",
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"#define THEONE64I 4611686018427387904 \n",
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"#define THEONE64F (double)1.e0f \n",
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"ulong MainLoop32I(ulong iterations,uint seed_z,uint seed_w,size_t work)",
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"{",
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" uint z=seed_z+work;",
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" uint w=seed_w+work;",
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" ulong total=0;",
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" for (ulong i=0;i<iterations;i++)",
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" {",
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" uint x= MWC>>17;",
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" uint y= MWC>>17;",
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" ulong inside=((x*x+y*y) <= THEONE32I) ? 1:0;",
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" total+=inside;",
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" }",
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" return(total);",
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"}",
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"ulong MainLoop32F(ulong iterations,uint seed_z,uint seed_w,size_t work)",
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"{",
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" uint z=seed_z+work;",
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" uint w=seed_w+work;",
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" ulong total=0;",
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" for (ulong i=0;i<iterations;i++)",
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" {",
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" float x=(float)MWCfp ;",
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" float y=(float)MWCfp ;",
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" ulong inside=((x*x+y*y) <= THEONE32F) ? 1:0;",
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" total+=inside;",
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" }",
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" return(total);",
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"}",
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"ulong MainLoop64I(ulong iterations,uint seed_z,uint seed_w,size_t work)",
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"{",
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" uint z=seed_z+work;",
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" uint w=seed_w+work;",
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" ulong total=0;",
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" for (ulong i=0;i<iterations;i++)",
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" {",
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" ulong x=(ulong)(MWC>>1);",
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" ulong y=(ulong)(MWC>>1);",
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" ulong inside=((x*x+y*y) <= THEONE64I) ? 1:0;",
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" total+=inside;",
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" }",
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" return(total);",
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"}",
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"ulong MainLoop64F(ulong iterations,uint seed_z,uint seed_w,size_t work)",
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"{",
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" uint z=seed_z+work;",
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" uint w=seed_w+work;",
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" ulong total=0;",
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" for (ulong i=0;i<iterations;i++)",
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"{",
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" double x=(double)MWCfp ;",
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" double y=(double)MWCfp ;",
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" ulong inside=((x*x+y*y) <= THEONE64F) ? 1:0;",
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" total+=inside;",
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"}",
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" return(total);",
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"}",
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"__kernel void MainLoopGlobal(__global ulong *s,ulong iterations,uint seed_w,uint seed_z,uint MyType)",
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"{",
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" ulong total;",
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" if (MyType==TFP32) {",
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" total=(ulong)MainLoop32F(iterations,seed_z,seed_w,get_global_id(0));",
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" }",
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" else if (MyType==TFP64) {",
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" total=(ulong)MainLoop64F(iterations,seed_z,seed_w,get_global_id(0));",
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" }",
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" else if (MyType==TINT32) {",
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" total=(ulong)MainLoop32I(iterations,seed_z,seed_w,get_global_id(0));",
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" }",
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" else if (MyType==TINT64) {",
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" total=(ulong)MainLoop64I(iterations,seed_z,seed_w,get_global_id(0));",
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" }",
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" barrier(CLK_GLOBAL_MEM_FENCE);",
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" s[get_global_id(0)]=(ulong)total;",
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"}",
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"__kernel void MainLoopLocal(__global ulong *s,ulong iterations,uint seed_w,uint seed_z,uint MyType)",
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"{",
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" ulong total;",
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" if (MyType==TFP32) {",
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" total=(ulong)MainLoop32F(iterations,seed_z,seed_w,get_local_id(0));",
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" }",
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" else if (MyType==TFP64) {",
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" total=(ulong)MainLoop64F(iterations,seed_z,seed_w,get_local_id(0));",
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" }",
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" else if (MyType==TINT32) {",
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" total=(ulong)MainLoop32I(iterations,seed_z,seed_w,get_local_id(0));",
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" }",
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" else if (MyType==TINT64) {",
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" total=(ulong)MainLoop64I(iterations,seed_z,seed_w,get_local_id(0));",
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" }",
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" barrier(CLK_LOCAL_MEM_FENCE);",
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" s[get_local_id(0)]=(ulong)total;",
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"}",
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"__kernel void MainLoopHybrid(__global ulong *s,ulong iterations,uint seed_w,uint seed_z,uint MyType)",
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"{",
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" ulong total;",
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" if (MyType==TFP32) {",
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" total=(ulong)MainLoop32F(iterations,seed_z,seed_w,get_global_id(0));",
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" }",
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" else if (MyType==TFP64) {",
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" total=(ulong)MainLoop64F(iterations,seed_z,seed_w,get_global_id(0));",
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" }",
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" else if (MyType==TINT32) {",
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" total=(ulong)MainLoop32I(iterations,seed_z,seed_w,get_global_id(0));",
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" }",
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" else if (MyType==TINT64) {",
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" total=(ulong)MainLoop64I(iterations,seed_z,seed_w,get_global_id(0));",
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" }",
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" barrier(CLK_GLOBAL_MEM_FENCE || CLK_LOCAL_MEM_FENCE);",
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" s[get_global_id(0)]=total;",
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"}"
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}; |
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int main(int argc, char **argv) |
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{
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if ((argc==1)|| |
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(strcmp(argv[1],"-h")==0)|| |
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(strcmp(argv[1],"--help")==0)) |
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{
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printf("\nPerforms a Pi estimation by Dart Dash:\n\n"
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"\t#1 OpenCL Plateform ID (default 0)\n"
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"\t#2 OpenCL Device ID (default 0)\n"
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"\t#3 Minimal number of iterations (default 1000000)\n"
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"\t#4 Parallel Rate (default 1024)\n"
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"\t#5 Loops (default 1)\n"
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"\t#6 Type of variable: INT32, INT64, FP32, FP64 (default FP32)\n\n");
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DetectOpenCLDevices(); |
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} |
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else
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{
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int MyPlatform=atoi(argv[1]); |
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int MyDevice=atoi(argv[2]); |
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struct timeval tv1,tv2;
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struct timezone tz;
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uint64_t Iterations=1000000;
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if (argc>3) { |
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Iterations=(uint64_t)atoll(argv[3]);
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} |
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uint32_t ParallelRate=64;
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if (argc>4) { |
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ParallelRate=(uint32_t)atoi(argv[4]);
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} |
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uint32_t Loops=1;
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if (argc>5) { |
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Loops=(uint32_t)atoi(argv[5]);
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} |
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uint32_t MyType=TFP32; |
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if (argc>6) { |
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if (strcmp(argv[6],"INT32")==0) { |
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MyType=(uint32_t)TINT32; |
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} |
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else if (strcmp(argv[6],"INT64")==0) { |
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MyType=(uint32_t)TINT64; |
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} |
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else if (strcmp(argv[6],"FP32")==0) { |
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MyType=(uint32_t)TFP32; |
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} |
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else if (strcmp(argv[6],"FP64")==0) { |
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MyType=(uint32_t)TFP64; |
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} |
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} |
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printf("MyType %d\n",MyType);
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cl_int err; |
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cl_context_properties props[3] = { CL_CONTEXT_PLATFORM, 0, 0 }; |
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// Detect, scan, get & initialize platform and device
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cl_uint platformCount; |
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cl_platform_id* platforms; |
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cl_uint deviceCount; |
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cl_device_id* devices; |
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size_t valueSize; |
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/* Setup OpenCL environment. */
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// Get all platforms
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err = clGetPlatformIDs(0, NULL, &platformCount); |
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platforms = (cl_platform_id*) malloc(sizeof(cl_platform_id) * platformCount);
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err = clGetPlatformIDs(platformCount, platforms, NULL);
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// Get Device defined
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err = clGetDeviceIDs(platforms[MyPlatform], CL_DEVICE_TYPE_ALL, 0, NULL, &deviceCount); |
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devices = (cl_device_id*) malloc(sizeof(cl_device_id) * deviceCount);
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err = clGetDeviceIDs(platforms[MyPlatform], CL_DEVICE_TYPE_ALL, deviceCount, devices, NULL);
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// print device name
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err = clGetDeviceInfo(devices[MyDevice], CL_DEVICE_NAME, 0, NULL, &valueSize); |
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char* deviceName=(char*)malloc(valueSize); |
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err = clGetDeviceInfo(devices[MyDevice], CL_DEVICE_NAME, valueSize, deviceName, NULL);
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err = clGetDeviceInfo(devices[MyDevice], CL_DEVICE_VENDOR, 0, NULL, &valueSize); |
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char* vendorName=(char*)malloc(valueSize); |
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err = clGetDeviceInfo(devices[MyDevice], CL_DEVICE_VENDOR, valueSize, vendorName, NULL);
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printf("\nDevice (%d,%d):\n\t- vendor: %s\n\t- device: %s\n\n",MyPlatform,MyDevice, vendorName,deviceName);
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free(deviceName); |
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free(vendorName); |
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props[1] = (cl_context_properties)platforms[MyPlatform];
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cl_context GPUContext = clCreateContext(props, 1, &devices[MyDevice], NULL, NULL, &err); |
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cl_command_queue cqCommandQueue = clCreateCommandQueue(GPUContext,devices[MyDevice], 0, &err);
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cl_mem GPUInside = clCreateBuffer(GPUContext, CL_MEM_WRITE_ONLY, |
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sizeof(uint64_t) * ParallelRate, NULL, NULL); |
| 367 |
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// 51 is the number of line for OpenCL code
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// 66, sans test
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cl_program OpenCLProgram = clCreateProgramWithSource(GPUContext, 130 ,OpenCLSource,NULL,NULL); |
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clBuildProgram(OpenCLProgram, 0, NULL, NULL, NULL, NULL); |
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cl_kernel OpenCLMainLoopGlobal = clCreateKernel(OpenCLProgram, "MainLoopGlobal", NULL); |
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cl_kernel OpenCLMainLoopLocal = clCreateKernel(OpenCLProgram, "MainLoopLocal", NULL); |
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cl_kernel OpenCLMainLoopHybrid = clCreateKernel(OpenCLProgram, "MainLoopHybrid", NULL); |
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|
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// Divide the total number of iterations by the parallel rate
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// Add +1 to the number of per work iterations if division not integer
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uint64_t IterationsEach=((Iterations%ParallelRate)==0)?Iterations/ParallelRate:Iterations/ParallelRate+1; |
| 379 |
// Initialize seeds for MWC RNG generator from Marsaglia
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uint32_t seed_w=110271;
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uint32_t seed_z=101008;
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|
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// Set the values of arguments for OpenCL function call
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clSetKernelArg(OpenCLMainLoopGlobal, 0, sizeof(cl_mem),&GPUInside); |
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clSetKernelArg(OpenCLMainLoopGlobal, 1, sizeof(uint64_t),&IterationsEach); |
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clSetKernelArg(OpenCLMainLoopGlobal, 2, sizeof(uint32_t),&seed_w); |
| 387 |
clSetKernelArg(OpenCLMainLoopGlobal, 3, sizeof(uint32_t),&seed_z); |
| 388 |
clSetKernelArg(OpenCLMainLoopGlobal, 4, sizeof(uint32_t),&MyType); |
| 389 |
|
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size_t WorkSize[1] = {ParallelRate}; // one dimensional Range |
| 391 |
|
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uint64_t HostInside[ParallelRate]; |
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|
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for (uint32_t loop=0;loop<Loops;loop++) { |
| 395 |
// Set start timer
|
| 396 |
gettimeofday(&tv1, &tz); |
| 397 |
|
| 398 |
// Execute the OpenCL kernel with datas
|
| 399 |
clEnqueueNDRangeKernel(cqCommandQueue, OpenCLMainLoopGlobal, 1, NULL, |
| 400 |
WorkSize, NULL, 0, NULL, NULL); |
| 401 |
// Copy each result for each PR from Device to Host
|
| 402 |
clEnqueueReadBuffer(cqCommandQueue, GPUInside, CL_TRUE, 0,
|
| 403 |
ParallelRate * sizeof(uint64_t), HostInside, 0, NULL, NULL); |
| 404 |
uint64_t inside=0;
|
| 405 |
|
| 406 |
for (int i= 0; i < ParallelRate; i++) { |
| 407 |
inside+=HostInside[i]; |
| 408 |
} |
| 409 |
|
| 410 |
// Set stop timer
|
| 411 |
gettimeofday(&tv2, &tz); |
| 412 |
|
| 413 |
double elapsed=(double)((tv2.tv_sec-tv1.tv_sec) * 1000000L + |
| 414 |
(tv2.tv_usec-tv1.tv_usec))/1000000;
|
| 415 |
|
| 416 |
double itops=(double)(ParallelRate*IterationsEach)/elapsed; |
| 417 |
|
| 418 |
printf("Inside/Total %ld %ld\nParallelRate %i\nElapsed Time %.2f\nItops %.0f\nPi estimation %f\n\n",inside,ParallelRate*IterationsEach,ParallelRate,elapsed,itops,(4.*(float)inside/((float)(ParallelRate)*(float)(IterationsEach)))); |
| 419 |
} |
| 420 |
printf("\n\n");
|
| 421 |
|
| 422 |
clReleaseKernel(OpenCLMainLoopGlobal); |
| 423 |
clReleaseProgram(OpenCLProgram); |
| 424 |
clReleaseCommandQueue(cqCommandQueue); |
| 425 |
clReleaseContext(GPUContext); |
| 426 |
clReleaseMemObject(GPUInside); |
| 427 |
|
| 428 |
|
| 429 |
return 0; |
| 430 |
} |
| 431 |
} |
| 432 |
|