cuda-samples/Samples/MC_EstimatePiInlineP/src/test.cpp

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/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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*/
#include "../inc/test.h"
#include <sstream>
#include <iomanip>
#include <stdexcept>
#include <memory>
#include <iostream>
#include <cassert>
#include <typeinfo>
#include <stdio.h>
#include <helper_timer.h>
#include <math.h>
#include <cuda_runtime.h>
#include "../inc/piestimator.h"
template <typename Real>
bool Test<Real>::operator()() {
using std::endl;
using std::setw;
using std::stringstream;
StopWatchInterface *timer = NULL;
sdkCreateTimer(&timer);
// Get device properties
struct cudaDeviceProp deviceProperties;
cudaError_t cudaResult = cudaGetDeviceProperties(&deviceProperties, device);
if (cudaResult != cudaSuccess) {
std::string msg("Could not get device properties: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// Evaluate on GPU
printf("Estimating Pi on GPU (%s)\n\n", deviceProperties.name);
PiEstimator<Real> estimator(numSims, device, threadBlockSize, seed);
sdkStartTimer(&timer);
Real result = estimator();
sdkStopTimer(&timer);
elapsedTime = sdkGetAverageTimerValue(&timer) / 1000.0f;
// Tolerance to compare result with expected
// This is just to check that nothing has gone very wrong with the
// test, the actual accuracy of the result depends on the number of
// Monte Carlo trials
const Real tolerance = static_cast<Real>(0.01);
// Display results
Real abserror = fabs(result - static_cast<Real>(PI));
Real relerror = abserror / static_cast<float>(PI);
printf("Precision: %s\n",
(typeid(Real) == typeid(double)) ? "double" : "single");
printf("Number of sims: %d\n", numSims);
printf("Tolerance: %e\n", tolerance);
printf("GPU result: %e\n", result);
printf("Expected: %e\n", PI);
printf("Absolute error: %e\n", abserror);
printf("Relative error: %e\n\n", relerror);
// Check result
if (relerror > tolerance) {
printf("computed result (%e) does not match expected result (%e).\n",
result, PI);
pass = false;
} else {
pass = true;
}
// Print results
printf(
"MonteCarloEstimatePiInlineP, Performance = %.2f sims/s, Time = "
"%.2f(ms), NumDevsUsed = %u, Blocksize = %u\n",
numSims / elapsedTime, elapsedTime * 1000.0f, 1, threadBlockSize);
sdkDeleteTimer(&timer);
return pass;
}
// Explicit template instantiation
template struct Test<float>;
template struct Test<double>;