2022-01-18 05:51:27 +00:00
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#include <algorithm>
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2020-05-27 15:26:52 +00:00
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#include <iostream>
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#include <cassert>
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#include <string>
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#include <vector>
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#include <numeric>
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#include <CL/cl.h>
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#include <Tracy.hpp>
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#include <TracyOpenCL.hpp>
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#define CL_ASSERT(err) \
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if((err) != CL_SUCCESS) \
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{ \
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std::cerr << "OpenCL Call Returned " << err << std::endl; \
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assert(false); \
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}
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const char kernelSource[] =
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" void __kernel vectorAdd(global float* C, global float* A, global float* B, int N) "
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" { "
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" int i = get_global_id(0); "
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" if (i < N) { "
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" C[i] = A[i] + B[i]; "
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" } "
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" } ";
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int main()
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{
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cl_platform_id platform;
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cl_device_id device;
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cl_context context;
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cl_command_queue commandQueue;
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cl_kernel vectorAddKernel;
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cl_program program;
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cl_int err;
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cl_mem bufferA, bufferB, bufferC;
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TracyCLCtx tracyCLCtx;
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{
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ZoneScopedN("OpenCL Init");
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cl_uint numPlatforms = 0;
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CL_ASSERT(clGetPlatformIDs(0, nullptr, &numPlatforms));
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if (numPlatforms == 0)
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{
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std::cerr << "Cannot find OpenCL platform to run this application" << std::endl;
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return 1;
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}
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CL_ASSERT(clGetPlatformIDs(1, &platform, nullptr));
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size_t platformNameBufferSize = 0;
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CL_ASSERT(clGetPlatformInfo(platform, CL_PLATFORM_NAME, 0, nullptr, &platformNameBufferSize));
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std::string platformName(platformNameBufferSize, '\0');
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CL_ASSERT(clGetPlatformInfo(platform, CL_PLATFORM_NAME, platformNameBufferSize, &platformName[0], nullptr));
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std::cout << "OpenCL Platform: " << platformName << std::endl;
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CL_ASSERT(clGetDeviceIDs(platform, CL_DEVICE_TYPE_ALL, 1, &device, nullptr));
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size_t deviceNameBufferSize = 0;
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CL_ASSERT(clGetDeviceInfo(device, CL_DEVICE_NAME, 0, nullptr, &deviceNameBufferSize));
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std::string deviceName(deviceNameBufferSize, '\0');
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CL_ASSERT(clGetDeviceInfo(device, CL_DEVICE_NAME, deviceNameBufferSize, &deviceName[0], nullptr));
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std::cout << "OpenCL Device: " << deviceName << std::endl;
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err = CL_SUCCESS;
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context = clCreateContext(nullptr, 1, &device, nullptr, nullptr, &err);
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CL_ASSERT(err);
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size_t kernelSourceLength = sizeof(kernelSource);
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const char* kernelSourceArray = { kernelSource };
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program = clCreateProgramWithSource(context, 1, &kernelSourceArray, &kernelSourceLength, &err);
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CL_ASSERT(err);
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if (clBuildProgram(program, 1, &device, nullptr, nullptr, nullptr) != CL_SUCCESS)
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{
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size_t programBuildLogBufferSize = 0;
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CL_ASSERT(clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, 0, nullptr, &programBuildLogBufferSize));
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std::string programBuildLog(programBuildLogBufferSize, '\0');
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CL_ASSERT(clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, programBuildLogBufferSize, &programBuildLog[0], nullptr));
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std::clog << programBuildLog << std::endl;
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return 1;
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}
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vectorAddKernel = clCreateKernel(program, "vectorAdd", &err);
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CL_ASSERT(err);
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commandQueue = clCreateCommandQueue(context, device, CL_QUEUE_PROFILING_ENABLE, &err);
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CL_ASSERT(err);
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}
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tracyCLCtx = TracyCLContext(context, device);
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size_t N = 10 * 1024 * 1024 / sizeof(float); // 10MB of floats
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std::vector<float> hostA, hostB, hostC;
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{
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ZoneScopedN("Host Data Init");
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hostA.resize(N);
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hostB.resize(N);
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hostC.resize(N);
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2022-01-25 03:44:23 +00:00
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std::iota(std::begin(hostA), std::end(hostA), 0.0f);
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std::iota(std::begin(hostB), std::end(hostB), 0.0f);
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2020-05-27 15:26:52 +00:00
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}
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{
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ZoneScopedN("Host to Device Memory Copy");
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bufferA = clCreateBuffer(context, CL_MEM_READ_WRITE, N * sizeof(float), nullptr, &err);
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CL_ASSERT(err);
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bufferB = clCreateBuffer(context, CL_MEM_READ_WRITE, N * sizeof(float), nullptr, &err);
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CL_ASSERT(err);
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bufferC = clCreateBuffer(context, CL_MEM_READ_WRITE, N * sizeof(float), nullptr, &err);
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CL_ASSERT(err);
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cl_event writeBufferAEvent, writeBufferBEvent;
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{
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ZoneScopedN("Write Buffer A");
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TracyCLZoneS(tracyCLCtx, "Write BufferA", 5);
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2022-01-13 04:58:57 +00:00
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CL_ASSERT(clEnqueueWriteBuffer(commandQueue, bufferA, CL_FALSE, 0, N * sizeof(float), hostA.data(), 0, nullptr, &writeBufferAEvent));
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2020-05-27 15:26:52 +00:00
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TracyCLZoneSetEvent(writeBufferAEvent);
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}
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{
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ZoneScopedN("Write Buffer B");
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TracyCLZone(tracyCLCtx, "Write BufferB");
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2022-01-13 04:58:57 +00:00
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CL_ASSERT(clEnqueueWriteBuffer(commandQueue, bufferB, CL_FALSE, 0, N * sizeof(float), hostB.data(), 0, nullptr, &writeBufferBEvent));
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2020-05-27 15:26:52 +00:00
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TracyCLZoneSetEvent(writeBufferBEvent);
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}
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}
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2022-01-25 04:13:04 +00:00
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cl_int clN = static_cast<cl_int>(N);
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const int numFrames = 10;
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const int launchsPerFrame = 10;
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constexpr int numLaunchs = numFrames * launchsPerFrame;
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2022-01-18 05:51:27 +00:00
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std::vector<cl_event> kernelLaunchEvts;
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kernelLaunchEvts.reserve(numLaunchs);
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2022-01-25 04:13:04 +00:00
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for (int i = 0; i < numFrames; ++i)
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2020-05-27 15:26:52 +00:00
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{
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2022-01-25 04:13:04 +00:00
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FrameMark;
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for (int j = 0; j < launchsPerFrame; ++j) {
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ZoneScopedN("VectorAdd Kernel Launch");
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TracyCLZoneC(tracyCLCtx, "VectorAdd Kernel", tracy::Color::Blue4);
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CL_ASSERT(clSetKernelArg(vectorAddKernel, 0, sizeof(cl_mem), &bufferC));
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CL_ASSERT(clSetKernelArg(vectorAddKernel, 1, sizeof(cl_mem), &bufferA));
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CL_ASSERT(clSetKernelArg(vectorAddKernel, 2, sizeof(cl_mem), &bufferB));
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CL_ASSERT(clSetKernelArg(vectorAddKernel, 3, sizeof(cl_int), &clN));
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cl_event vectorAddKernelEvent;
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CL_ASSERT(clEnqueueNDRangeKernel(commandQueue, vectorAddKernel, 1, nullptr, &N, nullptr, 0, nullptr, &vectorAddKernelEvent));
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TracyCLZoneSetEvent(vectorAddKernelEvent);
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CL_ASSERT(clRetainEvent(vectorAddKernelEvent));
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kernelLaunchEvts.push_back(vectorAddKernelEvent);
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std::cout << "VectorAdd Kernel Enqueued" << std::endl;
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}
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{
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// Wait frame events to be finished
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ZoneScopedN("clFinish");
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CL_ASSERT(clFinish(commandQueue));
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}
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// You should collect on each 'frame' ends, so that streaming can be achieved.
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TracyCLCollect(tracyCLCtx);
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2020-05-27 15:26:52 +00:00
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}
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{
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ZoneScopedN("Device to Host Memory Copy");
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TracyCLZone(tracyCLCtx, "Read Buffer C");
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cl_event readbufferCEvent;
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CL_ASSERT(clEnqueueReadBuffer(commandQueue, bufferC, CL_TRUE, 0, N * sizeof(float), hostC.data(), 0, nullptr, &readbufferCEvent));
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TracyCLZoneSetEvent(readbufferCEvent);
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}
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CL_ASSERT(clFinish(commandQueue));
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2022-01-18 05:51:27 +00:00
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std::vector<float> durations(kernelLaunchEvts.size());
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for (int i=0; i<kernelLaunchEvts.size(); i++) {
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cl_event evt = kernelLaunchEvts[i];
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cl_ulong start;
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cl_ulong end;
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CL_ASSERT(clGetEventProfilingInfo(evt, CL_PROFILING_COMMAND_START, sizeof(cl_ulong), &start, nullptr));
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CL_ASSERT(clGetEventProfilingInfo(evt, CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &end, nullptr));
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CL_ASSERT(clReleaseEvent(evt));
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2022-01-25 03:44:23 +00:00
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durations[i] = (end - start) * 0.001f;
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2022-01-18 05:51:27 +00:00
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std::cout << "VectorAdd Kernel " << i << " tooks " << static_cast<int>(durations[i]) << "us" << std::endl;
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};
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float avg = std::accumulate(durations.cbegin(), durations.cend(), 0.0f) / durations.size();
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float stddev2 = std::accumulate(durations.cbegin(), durations.cend(), 0.0f, [avg](const float& acc, const float& v) {
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auto d = v - avg;
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return acc + d*d;
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}) / (durations.size() - 1.0f);
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std::cout << "VectorAdd runtime avg: " << avg << "us, std: " << sqrt(stddev2) << "us over " << numLaunchs << " runs." << std::endl;
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2022-01-28 03:55:42 +00:00
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// User should ensure all events are finished, in this case, collect after the clFinish will do the trick.
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TracyCLCollect(tracyCLCtx);
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2020-05-27 15:26:52 +00:00
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{
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ZoneScopedN("Checking results");
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for (int i = 0; i < N; ++i)
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{
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assert(hostC[i] == hostA[i] + hostB[i]);
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}
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}
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std::cout << "Results are correct!" << std::endl;
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TracyCLDestroy(tracyCLCtx);
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return 0;
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}
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