mirror of
https://github.com/NVIDIA/cuda-samples.git
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326 lines
12 KiB
Plaintext
326 lines
12 KiB
Plaintext
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/* Computation of eigenvalues of symmetric, tridiagonal matrix using
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* bisection.
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*/
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// includes, system
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#include <stdlib.h>
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#include <stdio.h>
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#include <string.h>
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#include <math.h>
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#include <float.h>
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#include <assert.h>
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// includes, project
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#include <helper_functions.h>
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#include <helper_cuda.h>
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#include "config.h"
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#include "structs.h"
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#include "matlab.h"
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#include "util.h"
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#include "gerschgorin.h"
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#include "bisect_small.cuh"
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#include "bisect_large.cuh"
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////////////////////////////////////////////////////////////////////////////////
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// declaration, forward
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bool runTest(int argc, char **argv);
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////////////////////////////////////////////////////////////////////////////////
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// Program main
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////////////////////////////////////////////////////////////////////////////////
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int main(int argc, char **argv) {
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bool bQAResults = false;
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printf("Starting eigenvalues\n");
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bQAResults = runTest(argc, argv);
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printf("Test %s\n", bQAResults ? "Succeeded!" : "Failed!");
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exit(bQAResults ? EXIT_SUCCESS : EXIT_FAILURE);
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Initialize the input data to the algorithm
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//! @param input handles to the input data
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//! @param exec_path path where executable is run (argv[0])
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//! @param mat_size size of the matrix
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//! @param user_defined 1 if the matrix size has been requested by the user,
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//! 0 if the default size
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////////////////////////////////////////////////////////////////////////////////
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void initInputData(InputData &input, char *exec_path,
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const unsigned int mat_size,
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const unsigned int user_defined) {
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// allocate memory
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input.a = (float *)malloc(sizeof(float) * mat_size);
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input.b = (float *)malloc(sizeof(float) * mat_size);
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if (1 == user_defined) {
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// initialize diagonal and superdiagonal entries with random values
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srand(278217421);
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// srand( clock());
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for (unsigned int i = 0; i < mat_size; ++i) {
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input.a[i] = (float)(2.0 * (((double)rand() / (double)RAND_MAX) - 0.5));
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input.b[i] = (float)(2.0 * (((double)rand() / (double)RAND_MAX) - 0.5));
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}
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// the first element of s is used as padding on the device (thus the
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// whole vector is copied to the device but the kernels are launched
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// with (s+1) as start address
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input.b[0] = 0.0f;
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} else {
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// read default matrix
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unsigned int input_data_size = mat_size;
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char *diag_path = sdkFindFilePath("diagonal.dat", exec_path);
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assert(NULL != diag_path);
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sdkReadFile(diag_path, &(input.a), &input_data_size, false);
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char *sdiag_path = sdkFindFilePath("superdiagonal.dat", exec_path);
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assert(NULL != sdiag_path);
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sdkReadFile(sdiag_path, &(input.b), &input_data_size, false);
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free(diag_path);
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free(sdiag_path);
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}
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// allocate device memory for input
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checkCudaErrors(cudaMalloc((void **)&(input.g_a), sizeof(float) * mat_size));
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checkCudaErrors(
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cudaMalloc((void **)&(input.g_b_raw), sizeof(float) * mat_size));
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// copy data to device
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checkCudaErrors(cudaMemcpy(input.g_a, input.a, sizeof(float) * mat_size,
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cudaMemcpyHostToDevice));
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checkCudaErrors(cudaMemcpy(input.g_b_raw, input.b, sizeof(float) * mat_size,
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cudaMemcpyHostToDevice));
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input.g_b = input.g_b_raw + 1;
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Clean up input data, in particular allocated memory
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//! @param input handles to the input data
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////////////////////////////////////////////////////////////////////////////////
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void cleanupInputData(InputData &input) {
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freePtr(input.a);
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freePtr(input.b);
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checkCudaErrors(cudaFree(input.g_a));
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input.g_a = NULL;
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checkCudaErrors(cudaFree(input.g_b_raw));
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input.g_b_raw = NULL;
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input.g_b = NULL;
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Check if a specific matrix size has to be used
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//! @param argc number of command line arguments (from main(argc, argv)
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//! @param argv pointers to command line arguments (from main(argc, argv)
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//! @param matrix_size size of matrix, updated if specific size specified on
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//! command line
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////////////////////////////////////////////////////////////////////////////////
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void getMatrixSize(int argc, char **argv, unsigned int &mat_size,
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unsigned int &user_defined) {
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int temp = -1;
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if (checkCmdLineFlag(argc, (const char **)argv, "matrix-size")) {
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temp = getCmdLineArgumentInt(argc, (const char **)argv, "matrix-size");
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}
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if (temp > 0) {
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mat_size = (unsigned int)temp;
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// data type short is used in the kernel
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assert(mat_size < (1 << 16));
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// mat_size should be large than 2
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assert(mat_size >= 2);
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user_defined = 1;
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}
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printf("Matrix size: %i x %i\n", mat_size, mat_size);
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Check if a specific precision of the eigenvalue has to be obtained
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//! @param argc number of command line arguments (from main(argc, argv)
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//! @param argv pointers to command line arguments (from main(argc, argv)
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//! @param iters_timing numbers of iterations for timing, updated if a
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//! specific number is specified on the command line
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//! @param user_defined 1 if the precision has been requested by the user,
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//! 0 if the default size
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////////////////////////////////////////////////////////////////////////////////
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void getPrecision(int argc, char **argv, float &precision,
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unsigned int &user_defined) {
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float temp = -1.0f;
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if (checkCmdLineFlag(argc, (const char **)argv, "precision")) {
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temp = getCmdLineArgumentFloat(argc, (const char **)argv, "precision");
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printf("Precision is between [0.001, 0.000001]\n");
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}
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if (temp > 1e-6 && temp <= 0.001) {
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precision = temp;
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user_defined = 1;
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}
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printf("Precision: %f\n", precision);
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Check if a particular number of iterations for timings has to be used
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//! @param argc number of command line arguments (from main(argc, argv)
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//! @param argv pointers to command line arguments (from main(argc, argv)
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//! @param iters_timing number of timing iterations, updated if user
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//! specific value
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////////////////////////////////////////////////////////////////////////////////
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void getItersTiming(int argc, char **argv, unsigned int &iters_timing) {
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int temp = -1;
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if (checkCmdLineFlag(argc, (const char **)argv, "iters-timing")) {
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temp = getCmdLineArgumentInt(argc, (const char **)argv, "iters-timing");
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}
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if (temp > 0) {
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iters_timing = temp;
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}
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printf("Iterations to be timed: %i\n", iters_timing);
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Check if a particular filename has to be used for the file where the result
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//! is stored
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//! @param argc number of command line arguments (from main(argc, argv)
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//! @param argv pointers to command line arguments (from main(argc, argv)
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//! @param filename filename of result file, updated if user specified
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//! filename
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////////////////////////////////////////////////////////////////////////////////
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void getResultFilename(int argc, char **argv, char *&filename) {
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char *temp = NULL;
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getCmdLineArgumentString(argc, (const char **)argv, "filename-result", &temp);
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if (NULL != temp) {
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filename = (char *)malloc(sizeof(char) * strlen(temp));
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strcpy(filename, temp);
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free(temp);
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}
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printf("Result filename: '%s'\n", filename);
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Run a simple test for CUDA
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////////////////////////////////////////////////////////////////////////////////
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bool runTest(int argc, char **argv) {
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bool bCompareResult = false;
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findCudaDevice(argc, (const char **)argv);
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StopWatchInterface *timer = NULL;
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StopWatchInterface *timer_total = NULL;
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sdkCreateTimer(&timer);
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sdkCreateTimer(&timer_total);
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// default
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unsigned int mat_size = 2048;
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// flag if the matrix size is due to explicit user request
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unsigned int user_defined = 0;
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// desired precision of eigenvalues
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float precision = 0.00001f;
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unsigned int iters_timing = 100;
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char *result_file = (char *)"eigenvalues.dat";
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// check if there is a command line request for the matrix size
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getMatrixSize(argc, argv, mat_size, user_defined);
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// check if user requested specific precision
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getPrecision(argc, argv, precision, user_defined);
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// check if user requested specific number of iterations for timing
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getItersTiming(argc, argv, iters_timing);
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// file name for result file
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getResultFilename(argc, argv, result_file);
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// set up input
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InputData input;
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initInputData(input, argv[0], mat_size, user_defined);
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// compute Gerschgorin interval
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float lg = FLT_MAX;
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float ug = -FLT_MAX;
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computeGerschgorin(input.a, input.b + 1, mat_size, lg, ug);
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printf("Gerschgorin interval: %f / %f\n", lg, ug);
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// two kernels, for small matrices a lot of overhead can be avoided
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if (mat_size <= MAX_SMALL_MATRIX) {
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// initialize memory for result
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ResultDataSmall result;
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initResultSmallMatrix(result, mat_size);
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// run the kernel
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computeEigenvaluesSmallMatrix(input, result, mat_size, lg, ug, precision,
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iters_timing);
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// get the result from the device and do some sanity checks,
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// save the result
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processResultSmallMatrix(input, result, mat_size, result_file);
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// clean up
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cleanupResultSmallMatrix(result);
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printf("User requests non-default argument(s), skipping self-check!\n");
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bCompareResult = true;
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} else {
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// initialize memory for result
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ResultDataLarge result;
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initResultDataLargeMatrix(result, mat_size);
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// run the kernel
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computeEigenvaluesLargeMatrix(input, result, mat_size, precision, lg, ug,
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iters_timing);
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// get the result from the device and do some sanity checks
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// save the result if user specified matrix size
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bCompareResult = processResultDataLargeMatrix(
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input, result, mat_size, result_file, user_defined, argv[0]);
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// cleanup
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cleanupResultDataLargeMatrix(result);
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}
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cleanupInputData(input);
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return bCompareResult;
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}
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