diff options
Diffstat (limited to 'benchmarks/CUDA/BlackScholes/BlackScholes.cu')
| -rw-r--r-- | benchmarks/CUDA/BlackScholes/BlackScholes.cu | 268 |
1 files changed, 268 insertions, 0 deletions
diff --git a/benchmarks/CUDA/BlackScholes/BlackScholes.cu b/benchmarks/CUDA/BlackScholes/BlackScholes.cu new file mode 100644 index 0000000..0c4ab7f --- /dev/null +++ b/benchmarks/CUDA/BlackScholes/BlackScholes.cu @@ -0,0 +1,268 @@ +/* + * Copyright 1993-2007 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO USER: + * + * This source code is subject to NVIDIA ownership rights under U.S. and + * international Copyright laws. Users and possessors of this source code + * are hereby granted a nonexclusive, royalty-free license to use this code + * in individual and commercial software. + * + * NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE + * CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR + * IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH + * REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF + * MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, + * OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS + * OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE + * OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE + * OR PERFORMANCE OF THIS SOURCE CODE. + * + * U.S. Government End Users. This source code is a "commercial item" as + * that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of + * "commercial computer software" and "commercial computer software + * documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) + * and is provided to the U.S. Government only as a commercial end item. + * Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through + * 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the + * source code with only those rights set forth herein. + * + * Any use of this source code in individual and commercial software must + * include, in the user documentation and internal comments to the code, + * the above Disclaimer and U.S. Government End Users Notice. + */ + +/* + * This sample evaluates fair call and put prices for a + * given set of European options by Black-Scholes formula. + * See supplied whitepaper for more explanations. + */ + + + +#include <stdlib.h> +#include <stdio.h> +#include <time.h> +#include <string.h> +#include <cutil_inline.h> + + + +//////////////////////////////////////////////////////////////////////////////// +// Process an array of optN options on CPU +//////////////////////////////////////////////////////////////////////////////// +extern "C" void BlackScholesCPU( + float *h_CallResult, + float *h_PutResult, + float *h_StockPrice, + float *h_OptionStrike, + float *h_OptionYears, + float Riskfree, + float Volatility, + int optN +); + + + +//////////////////////////////////////////////////////////////////////////////// +// Process an array of OptN options on GPU +//////////////////////////////////////////////////////////////////////////////// +#include "BlackScholes_kernel.cuh" + + + +//////////////////////////////////////////////////////////////////////////////// +// Helper function, returning uniformly distributed +// random float in [low, high] range +//////////////////////////////////////////////////////////////////////////////// +float RandFloat(float low, float high){ + float t = (float)rand() / (float)RAND_MAX; + return (1.0f - t) * low + t * high; +} + + + +//////////////////////////////////////////////////////////////////////////////// +// Data configuration +//////////////////////////////////////////////////////////////////////////////// +const int OPT_N = 2000000; // 4000000; + +#ifdef __DEVICE_EMULATION__ +const int NUM_ITERATIONS = 1; +#else +const int NUM_ITERATIONS = 1; // 512; +#endif + + +const int OPT_SZ = OPT_N * sizeof(float); +const float RISKFREE = 0.02f; +const float VOLATILITY = 0.30f; + + +//////////////////////////////////////////////////////////////////////////////// +// Main program +//////////////////////////////////////////////////////////////////////////////// +int main(int argc, char **argv){ + //'h_' prefix - CPU (host) memory space + float + //Results calculated by CPU for reference + *h_CallResultCPU, + *h_PutResultCPU, + //CPU copy of GPU results + *h_CallResultGPU, + *h_PutResultGPU, + //CPU instance of input data + *h_StockPrice, + *h_OptionStrike, + *h_OptionYears; + + //'d_' prefix - GPU (device) memory space + float + //Results calculated by GPU + *d_CallResult, + *d_PutResult, + //GPU instance of input data + *d_StockPrice, + *d_OptionStrike, + *d_OptionYears; + + double + delta, ref, sum_delta, sum_ref, max_delta, L1norm, gpuTime; + + unsigned int hTimer; + int i; + + + if( cutCheckCmdLineFlag(argc, (const char**)argv, "device") ) + cutilDeviceInit(argc, argv); + else + cudaSetDevice( cutGetMaxGflopsDeviceId() ); + + cutilCheckError( cutCreateTimer(&hTimer) ); + + printf("Initializing data...\n"); + printf("...allocating CPU memory for options.\n"); + h_CallResultCPU = (float *)malloc(OPT_SZ); + h_PutResultCPU = (float *)malloc(OPT_SZ); + h_CallResultGPU = (float *)malloc(OPT_SZ); + h_PutResultGPU = (float *)malloc(OPT_SZ); + h_StockPrice = (float *)malloc(OPT_SZ); + h_OptionStrike = (float *)malloc(OPT_SZ); + h_OptionYears = (float *)malloc(OPT_SZ); + + printf("...allocating GPU memory for options.\n"); + cutilSafeCall( cudaMalloc((void **)&d_CallResult, OPT_SZ) ); + cutilSafeCall( cudaMalloc((void **)&d_PutResult, OPT_SZ) ); + cutilSafeCall( cudaMalloc((void **)&d_StockPrice, OPT_SZ) ); + cutilSafeCall( cudaMalloc((void **)&d_OptionStrike, OPT_SZ) ); + cutilSafeCall( cudaMalloc((void **)&d_OptionYears, OPT_SZ) ); + + printf("...generating input data in CPU mem.\n"); + srand(5347); + //Generate options set + for(i = 0; i < OPT_N; i++){ + h_CallResultCPU[i] = 0.0f; + h_PutResultCPU[i] = -1.0f; + h_StockPrice[i] = RandFloat(5.0f, 30.0f); + h_OptionStrike[i] = RandFloat(1.0f, 100.0f); + h_OptionYears[i] = RandFloat(0.25f, 10.0f); + } + + printf("...copying input data to GPU mem.\n"); + //Copy options data to GPU memory for further processing + cutilSafeCall( cudaMemcpy(d_StockPrice, h_StockPrice, OPT_SZ, cudaMemcpyHostToDevice) ); + cutilSafeCall( cudaMemcpy(d_OptionStrike, h_OptionStrike, OPT_SZ, cudaMemcpyHostToDevice) ); + cutilSafeCall( cudaMemcpy(d_OptionYears, h_OptionYears, OPT_SZ, cudaMemcpyHostToDevice) ); + printf("Data init done.\n"); + + + printf("Executing Black-Scholes GPU kernel (%i iterations)...\n", NUM_ITERATIONS); + cutilSafeCall( cudaThreadSynchronize() ); + cutilCheckError( cutResetTimer(hTimer) ); + cutilCheckError( cutStartTimer(hTimer) ); + for(i = 0; i < NUM_ITERATIONS; i++){ + BlackScholesGPU<<<480, 128>>>( + d_CallResult, + d_PutResult, + d_StockPrice, + d_OptionStrike, + d_OptionYears, + RISKFREE, + VOLATILITY, + OPT_N + ); + cutilCheckMsg("BlackScholesGPU() execution failed\n"); + } + cutilSafeCall( cudaThreadSynchronize() ); + cutilCheckError( cutStopTimer(hTimer) ); + gpuTime = cutGetTimerValue(hTimer) / NUM_ITERATIONS; + //Both call and put is calculated + printf("Options count : %i \n", 2 * OPT_N); + printf("BlackScholesGPU() time : %f msec\n", gpuTime); + printf("Effective memory bandwidth: %f GB/s\n", ((double)(5 * OPT_N * sizeof(float)) * 1E-9) / (gpuTime * 1E-3)); + printf("Gigaoptions per second : %f \n", ((double)(2 * OPT_N) * 1E-9) / (gpuTime * 1E-3)); + + + printf("Reading back GPU results...\n"); + //Read back GPU results to compare them to CPU results + cutilSafeCall( cudaMemcpy(h_CallResultGPU, d_CallResult, OPT_SZ, cudaMemcpyDeviceToHost) ); + cutilSafeCall( cudaMemcpy(h_PutResultGPU, d_PutResult, OPT_SZ, cudaMemcpyDeviceToHost) ); + + + printf("Checking the results...\n"); + printf("...running CPU calculations.\n"); + //Calculate options values on CPU + BlackScholesCPU( + h_CallResultCPU, + h_PutResultCPU, + h_StockPrice, + h_OptionStrike, + h_OptionYears, + RISKFREE, + VOLATILITY, + OPT_N + ); + + printf("Comparing the results...\n"); + //Calculate max absolute difference and L1 distance + //between CPU and GPU results + sum_delta = 0; + sum_ref = 0; + max_delta = 0; + for(i = 0; i < OPT_N; i++){ + ref = h_CallResultCPU[i]; + delta = fabs(h_CallResultCPU[i] - h_CallResultGPU[i]); + if(delta > max_delta) max_delta = delta; + sum_delta += delta; + sum_ref += fabs(ref); + } + L1norm = sum_delta / sum_ref; + printf("L1 norm: %E\n", L1norm); + printf("Max absolute error: %E\n", max_delta); + printf((L1norm < 1e-6) ? "TEST PASSED\n" : "TEST FAILED\n"); + + + printf("Shutting down...\n"); + printf("...releasing GPU memory.\n"); + cutilSafeCall( cudaFree(d_OptionYears) ); + cutilSafeCall( cudaFree(d_OptionStrike) ); + cutilSafeCall( cudaFree(d_StockPrice) ); + cutilSafeCall( cudaFree(d_PutResult) ); + cutilSafeCall( cudaFree(d_CallResult) ); + + printf("...releasing CPU memory.\n"); + free(h_OptionYears); + free(h_OptionStrike); + free(h_StockPrice); + free(h_PutResultGPU); + free(h_CallResultGPU); + free(h_PutResultCPU); + free(h_CallResultCPU); + cutilCheckError( cutDeleteTimer(hTimer) ); + printf("Shutdown done.\n"); + + cudaThreadExit(); + + cutilExit(argc, argv); +} |
