added cuda examples
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Evghenii
246
examples_cuda/gmres/matrix.cpp
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246
examples_cuda/gmres/matrix.cpp
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/*
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Copyright (c) 2012, Intel Corporation
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All rights reserved.
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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 are
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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 Intel Corporation nor the names of its
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contributors may be used to endorse or promote products derived from
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this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
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IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
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TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
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PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
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OR 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 OF
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LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/**************************************************************\
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| Includes
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\**************************************************************/
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#include "matrix.h"
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#include "matrix_ispc.h"
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extern "C" {
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#include "mmio.h"
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}
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/**************************************************************\
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| DenseMatrix methods
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\**************************************************************/
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void DenseMatrix::multiply (const Vector &v, Vector &r) const
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{
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// Dimensionality check
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ASSERT(v.size() == cols());
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ASSERT(r.size() == rows());
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for (int i = 0; i < rows(); i++)
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r[i] = v.dot(entries + i * num_cols);
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}
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const Vector *DenseMatrix::row (size_t row) const {
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return new Vector(num_cols, entries + row * num_cols, true);
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}
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void DenseMatrix::row (size_t row, Vector &r) {
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r.entries = entries + row * cols();
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r._size = cols();
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}
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void DenseMatrix::set_row(size_t row, const Vector &v)
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{
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ASSERT(v.size() == num_cols);
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memcpy(entries + row * num_cols, v.entries, num_cols * sizeof(double));
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}
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/**************************************************************\
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| CRSMatrix Methods
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\**************************************************************/
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#include <stdio.h>
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#include <stdlib.h>
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#include <vector>
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#include <algorithm>
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struct entry {
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int row;
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int col;
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double val;
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};
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bool compare_entries(struct entry i, struct entry j) {
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if (i.row < j.row)
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return true;
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if (i.row > j.row)
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return false;
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return i.col < j.col;
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}
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#define ERR_OUT(...) { fprintf(stderr, __VA_ARGS__); return NULL; }
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CRSMatrix *CRSMatrix::matrix_from_mtf (char *path) {
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FILE *f;
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MM_typecode matcode;
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int m, n, nz;
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if ((f = fopen(path, "r")) == NULL)
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ERR_OUT("Error: %s does not name a valid/readable file.\n", path);
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if (mm_read_banner(f, &matcode) != 0)
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ERR_OUT("Error: Could not process Matrix Market banner.\n");
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if (mm_is_complex(matcode))
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ERR_OUT("Error: Application does not support complex numbers.\n")
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if (mm_is_dense(matcode))
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ERR_OUT("Error: supplied matrix is dense (should be sparse.)\n");
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if (!mm_is_matrix(matcode))
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ERR_OUT("Error: %s does not encode a matrix.\n", path)
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if (mm_read_mtx_crd_size(f, &m, &n, &nz) != 0)
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ERR_OUT("Error: could not read matrix size from file.\n");
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if (m != n)
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ERR_OUT("Error: Application does not support non-square matrices.");
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std::vector<struct entry> entries;
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entries.resize(nz);
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for (int i = 0; i < nz; i++) {
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fscanf(f, "%d %d %lg\n", &entries[i].row, &entries[i].col, &entries[i].val);
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// Adjust from 1-based to 0-based
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entries[i].row--;
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entries[i].col--;
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}
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sort(entries.begin(), entries.end(), compare_entries);
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CRSMatrix *M = new CRSMatrix(m, n, nz);
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int cur_row = -1;
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for (int i = 0; i < nz; i++) {
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while (entries[i].row > cur_row)
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M->row_offsets[++cur_row] = i;
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M->entries[i] = entries[i].val;
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M->columns[i] = entries[i].col;
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}
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return M;
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}
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Vector *Vector::vector_from_mtf (char *path) {
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FILE *f;
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MM_typecode matcode;
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int m, n, nz;
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if ((f = fopen(path, "r")) == NULL)
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ERR_OUT("Error: %s does not name a valid/readable file.\n", path);
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if (mm_read_banner(f, &matcode) != 0)
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ERR_OUT("Error: Could not process Matrix Market banner.\n");
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if (mm_is_complex(matcode))
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ERR_OUT("Error: Application does not support complex numbers.\n")
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if (mm_is_dense(matcode)) {
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if (mm_read_mtx_array_size(f, &m, &n) != 0)
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ERR_OUT("Error: could not read matrix size from file.\n");
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} else {
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if (mm_read_mtx_crd_size(f, &m, &n, &nz) != 0)
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ERR_OUT("Error: could not read matrix size from file.\n");
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}
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if (n != 1)
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ERR_OUT("Error: %s does not describe a vector.\n", path);
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Vector *x = new Vector(m);
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if (mm_is_dense(matcode)) {
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double val;
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for (int i = 0; i < m; i++) {
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fscanf(f, "%lg\n", &val);
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(*x)[i] = val;
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}
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}
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else {
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x->zero();
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double val;
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int row;
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int col;
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for (int i = 0; i < nz; i++) {
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fscanf(f, "%d %d %lg\n", &row, &col, &val);
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(*x)[row-1] = val;
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}
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}
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return x;
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}
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#define ERR(...) { fprintf(stderr, __VA_ARGS__); exit(-1); }
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void Vector::to_mtf (char *path) {
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FILE *f;
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MM_typecode matcode;
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mm_initialize_typecode(&matcode);
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mm_set_matrix(&matcode);
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mm_set_real(&matcode);
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mm_set_dense(&matcode);
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mm_set_general(&matcode);
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if ((f = fopen(path, "w")) == NULL)
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ERR("Error: cannot open/write to %s\n", path);
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mm_write_banner(f, matcode);
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mm_write_mtx_array_size(f, size(), 1);
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for (int i = 0; i < size(); i++)
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fprintf(f, "%lg\n", entries[i]);
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fclose(f);
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}
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void CRSMatrix::multiply (const Vector &v, Vector &r) const
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{
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ASSERT(v.size() == cols());
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ASSERT(r.size() == rows());
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for (int row = 0; row < rows(); row++)
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{
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int row_offset = row_offsets[row];
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int next_offset = ((row + 1 == rows()) ? _nonzeroes : row_offsets[row + 1]);
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double sum = 0;
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for (int i = row_offset; i < next_offset; i++)
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{
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sum += v[columns[i]] * entries[i];
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}
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r[row] = sum;
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}
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}
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void CRSMatrix::zero ( )
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{
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entries.clear();
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row_offsets.clear();
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columns.clear();
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_nonzeroes = 0;
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}
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