353 lines
9.8 KiB
Plaintext
353 lines
9.8 KiB
Plaintext
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#include <iostream>
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#include <fstream>
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#include <vector>
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#include <chrono>
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#include <cfloat>
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#include <iomanip>
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#include <cmath>
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#define __CL_ENABLE_EXCEPTIONS
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#include "cl.hpp"
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#define DATATYPE double
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unsigned int ARRAY_SIZE = 50000000;
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#define NTIMES 10
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#define MIN(a,b) ((a) < (b)) ? (a) : (b)
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#define MAX(a,b) ((a) > (b)) ? (a) : (b)
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#define VERSION_STRING "0.0"
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void parseArguments(int argc, char *argv[]);
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std::string getDeviceName();
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struct badtype : public std::exception
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{
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virtual const char * what () const throw ()
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{
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return "Datatype is not 4 or 8";
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}
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};
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size_t sizes[4] = {
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2 * sizeof(DATATYPE) * ARRAY_SIZE,
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2 * sizeof(DATATYPE) * ARRAY_SIZE,
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3 * sizeof(DATATYPE) * ARRAY_SIZE,
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3 * sizeof(DATATYPE) * ARRAY_SIZE
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};
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void check_solution(std::vector<DATATYPE>& a, std::vector<DATATYPE>& b, std::vector<DATATYPE>& c)
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{
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// Generate correct solution
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DATATYPE golda = 1.0;
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DATATYPE goldb = 2.0;
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DATATYPE goldc = 0.0;
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const DATATYPE scalar = 3.0;
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for (unsigned int i = 0; i < NTIMES; i++)
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{
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goldc = golda;
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goldb = scalar * goldc;
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goldc = golda + goldb;
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golda = goldb + scalar * goldc;
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}
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// Calculate average error
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double erra = 0.0;
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double errb = 0.0;
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double errc = 0.0;
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for (unsigned int i = 0; i < ARRAY_SIZE; i++)
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{
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erra += fabs(a[i] - golda);
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errb += fabs(b[i] - goldb);
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errc += fabs(c[i] - goldc);
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}
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erra /= (double)ARRAY_SIZE;
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errb /= (double)ARRAY_SIZE;
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errc /= (double)ARRAY_SIZE;
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double epsi;
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if (sizeof(DATATYPE) == 4) epsi = 1.0E-6;
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else if (sizeof(DATATYPE) == 8) epsi = 1.0E-13;
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else throw badtype();
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if (erra > epsi)
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std::cout
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<< "Validation failed on a[]. Average error " << erra
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<< std::endl;
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if (errb > epsi)
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std::cout
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<< "Validation failed on b[]. Average error " << errb
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<< std::endl;
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if (errc > epsi)
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std::cout
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<< "Validation failed on c[]. Average error " << errc
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<< std::endl;
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}
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const DATATYPE scalar = 3.0;
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// __global__ void copy(const DATATYPE * restrict a, DATATYPE * restrict c)
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// {
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// const int i = blockDim.x * blockIdx.x + threadIdx.x;
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// c[i] = a[i];
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// }
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// __global__ void mul(DATATYPE * restrict b, const DATATYPE * restrict c)
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// {
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// const int i = blockDim.x * blockIdx.x + threadIdx.x;
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// b[i] = scalar * c[i];
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// }
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// __global__ void add(const DATATYPE * restrict a, const DATATYPE * restrict b, DATATYPE * restrict c)
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// {
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// const int i = blockDim.x * blockIdx.x + threadIdx.x;
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// c[i] = a[i] + b[i];
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// }
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// __global__ void triad(DATATYPE * restrict a, const DATATYPE * restrict b, const DATATYPE * restrict c)
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// {
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// const int i = blockDim.x * blockIdx.x + threadIdx.x;
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// a[i] = b[i] + scalar * c[i];
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// }
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cl_uint deviceIndex = 0;
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int main(int argc, char *argv[])
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{
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// Print out run information
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std::cout
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<< "GPU-STREAM" << std::endl
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<< "Version: " << VERSION_STRING << std::endl
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<< "Implementation: OpenCL" << std::endl << std::endl;
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try
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{
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parseArguments(argc, argv);
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// Print out device name
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std::cout << "Using CUDA device " << getDeviceName() << std::endl;
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// Create host vectors
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std::vector<DATATYPE> h_a(ARRAY_SIZE, 1.0);
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std::vector<DATATYPE> h_b(ARRAY_SIZE, 2.0);
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std::vector<DATATYPE> h_c(ARRAY_SIZE, 0.0);
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// Create device buffers
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// Copy host memory to device
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// Make sure the copies are finished
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// List of times
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std::vector< std::vector<double> > timings;
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// Declare timers
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std::chrono::high_resolution_clock::time_point t1, t2;
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// Main loop
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for (unsigned int k = 0; k < NTIMES; k++)
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{
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/*std::vector<double> times;
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t1 = std::chrono::high_resolution_clock::now();
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copy(
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cl::EnqueueArgs(
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queue,
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cl::NDRange(ARRAY_SIZE)),
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d_a, d_c);
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queue.finish();
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t2 = std::chrono::high_resolution_clock::now();
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times.push_back(std::chrono::duration_cast<std::chrono::duration<double> >(t2 - t1).count());
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t1 = std::chrono::high_resolution_clock::now();
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mul(
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cl::EnqueueArgs(
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queue,
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cl::NDRange(ARRAY_SIZE)),
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d_b, d_c);
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queue.finish();
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t2 = std::chrono::high_resolution_clock::now();
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times.push_back(std::chrono::duration_cast<std::chrono::duration<double> >(t2 - t1).count());
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t1 = std::chrono::high_resolution_clock::now();
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add(
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cl::EnqueueArgs(
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queue,
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cl::NDRange(ARRAY_SIZE)),
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d_a, d_b, d_c);
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queue.finish();
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t2 = std::chrono::high_resolution_clock::now();
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times.push_back(std::chrono::duration_cast<std::chrono::duration<double> >(t2 - t1).count());
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t1 = std::chrono::high_resolution_clock::now();
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triad(
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cl::EnqueueArgs(
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queue,
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cl::NDRange(ARRAY_SIZE)),
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d_a, d_b, d_c);
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queue.finish();
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t2 = std::chrono::high_resolution_clock::now();
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times.push_back(std::chrono::duration_cast<std::chrono::duration<double> >(t2 - t1).count());
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timings.push_back(times);*/
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}
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// Check solutions
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check_solution(h_a, h_b, h_c);
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// Crunch results
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double min[4] = {DBL_MAX, DBL_MAX, DBL_MAX, DBL_MAX};
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double max[4] = {0.0, 0.0, 0.0, 0.0};
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double avg[4] = {0.0, 0.0, 0.0, 0.0};
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// Ignore first result
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for (unsigned int i = 1; i < NTIMES; i++)
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{
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for (int j = 0; j < 4; j++)
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{
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avg[j] += timings[i][j];
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min[j] = MIN(min[j], timings[i][j]);
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max[j] = MAX(max[j], timings[i][j]);
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}
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}
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for (int j = 0; j < 4; j++)
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avg[j] /= (double)(NTIMES-1);
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// Display results
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std::string labels[] = {"Copy", "Mul", "Add", "Triad"};
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std::cout
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<< std::left << std::setw(12) << "Function"
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<< std::left << std::setw(12) << "MBytes/sec"
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<< std::left << std::setw(12) << "Min (sec)"
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<< std::left << std::setw(12) << "Max"
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<< std::left << std::setw(12) << "Average"
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<< std::endl;
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for (int j = 0; j < 4; j++)
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{
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std::cout
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<< std::left << std::setw(12) << labels[j]
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<< std::left << std::setw(12) << 1.0E-06 * sizes[j]/min[j]
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<< std::left << std::setw(12) << min[j]
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<< std::left << std::setw(12) << max[j]
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<< std::left << std::setw(12) << avg[j]
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<< std::endl;
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}
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}
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catch (std::exception& e)
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{
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std::cerr
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<< "Error: "
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<< e.what()
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<< std::endl;
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}
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}
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unsigned getDeviceList()
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{
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// // Enumerate devices
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// for (unsigned int i = 0; i < platforms.size(); i++)
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// {
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// std::vector<cl::Device> plat_devices;
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// platforms[i].getDevices(CL_DEVICE_TYPE_ALL, &plat_devices);
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// devices.insert(devices.end(), plat_devices.begin(), plat_devices.end());
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// }
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// return devices.size();
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return 0;
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}
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std::string getDeviceName()
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{
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int device;
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cudaGetDevice(&device);
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struct cudaDeviceProp prop;
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cudaGetDeviceProperties(&prop, device);
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return std::string(prop.name);
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}
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int parseUInt(const char *str, cl_uint *output)
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{
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char *next;
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*output = strtoul(str, &next, 10);
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return !strlen(next);
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}
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void parseArguments(int argc, char *argv[])
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{
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for (int i = 1; i < argc; i++)
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{
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if (!strcmp(argv[i], "--list"))
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{
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// Get list of devices
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/*std::vector<cl::Device> devices;
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getDeviceList(devices);
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// Print device names
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if (devices.size() == 0)
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{
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std::cout << "No devices found." << std::endl;
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}
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else
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{
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std::cout << std::endl;
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std::cout << "Devices:" << std::endl;
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for (unsigned i = 0; i < devices.size(); i++)
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{
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std::cout << i << ": " << getDeviceName(devices[i]) << std::endl;
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}
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std::cout << std::endl;
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}*/
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exit(0);
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}
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else if (!strcmp(argv[i], "--device"))
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{
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if (++i >= argc || !parseUInt(argv[i], &deviceIndex))
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{
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std::cout << "Invalid device index" << std::endl;
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exit(1);
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}
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}
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else if (!strcmp(argv[i], "--arraysize") || !strcmp(argv[i], "-s"))
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{
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if (++i >= argc || !parseUInt(argv[i], &ARRAY_SIZE))
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{
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std::cout << "Invalid array size" << std::endl;
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exit(1);
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}
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}
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else if (!strcmp(argv[i], "--help") || !strcmp(argv[i], "-h"))
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{
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std::cout << std::endl;
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std::cout << "Usage: ./gpu-stream-ocl [OPTIONS]" << std::endl << std::endl;
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std::cout << "Options:" << std::endl;
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std::cout << " -h --help Print the message" << std::endl;
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std::cout << " --list List available devices" << std::endl;
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std::cout << " --device INDEX Select device at INDEX" << std::endl;
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std::cout << " -s --arraysize SIZE Use SIZE elements in the array" << std::endl;
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std::cout << std::endl;
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exit(0);
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}
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else
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{
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std::cout << "Unrecognized argument '" << argv[i] << "' (try '--help')"
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<< std::endl;
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exit(1);
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}
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}
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}
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