📄 strmv.cu
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/* * Copyright 1993-2008 NVIDIA Corporation. All rights reserved. * * NOTICE TO USER: * * This source code is subject to NVIDIA ownership rights under U.S. and * international Copyright laws. * * This software and the information contained herein is being provided * under the terms and conditions of a Source Code License Agreement. * * 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. *//* This file contains the implementation of the BLAS-2 function strmv */#include <stdlib.h>#include <assert.h>#include <string.h>#include <stdio.h>#include <limits.h>#include <ctype.h>#include <math.h>#include "cublas.h" /* CUBLAS public header file */#include "cublasP.h" /* CUBLAS private header file */__global__ void strmv_up_tr_main (struct cublasStrmvParams parms);__global__ void strmv_up_nt_main (struct cublasStrmvParams parms);__global__ void strmv_lo_tr_main (struct cublasStrmvParams parms);__global__ void strmv_lo_nt_main (struct cublasStrmvParams parms);/* * void * cublasStrmv (char uplo, char trans, char diag, int n, const float *A, * int lda, float *x, int incx); * * performs one of the matrix-vector operations x = op(A) * x, where op(A) = = A, or op(A) = transpose(A). x is an n-element single precision vector, and * A is an n x n, unit or non-unit, upper or lower, triangular matrix composed * of single precision elements. * * Input * ----- * uplo specifies whether the matrix A is an upper or lower triangular * matrix. If uplo = 'U' or 'u', then A is an upper triangular matrix. * If uplo = 'L' or 'l', then A is a lower triangular matrix. * trans specifies op(A). If transa = 'N' or 'n', op(A) = A. If trans = 'T', * 't', 'C', or 'c', op(A) = transpose(A) * diag specifies whether or not matrix A is unit triangular. If diag = 'U' * or 'u', A is assumed to be unit triangular. If diag = 'N' or 'n', A * is not assumed to be unit triangular. * n specifies the number of rows and columns of the matrix A. n must be * at least zero. * A single precision array of dimension (lda, n). If uplo = 'U' or 'u', * the leading n x n upper triangular part of the array A must contain * the upper triangular matrix and the strictly lower triangular part * of A is not referenced. If uplo = 'L' or 'l', the leading n x n lower * triangular part of the array A must contain the lower triangular * matrix and the strictly upper triangular part of A is not referenced. * When diag = 'U' or 'u', the diagonal elements of A are not referenced * either, but are are assumed to be unity. * lda is the leading dimension of A. It must be at least max (1, n). * x single precision array of length at least (1 + (n - 1) * abs(incx) ). * On entry, x contains the source vector. On exit, x is overwritten * with the result vector. * incx specifies the storage spacing for elements of x. incx must not be * zero. * * Output * ------ * x updated according to x = op(A) * x, * * Reference: http://www.netlib.org/blas/strmv.f * * Error status for this function can be retrieved via cublasGetError(). * * Error Status * ------------ * CUBLAS_STATUS_NOT_INITIALIZED if CUBLAS library has not been initialized * CUBLAS_STATUS_INVALID_VALUE if incx == 0 or if n < 0 * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU */__host__ void CUBLASAPI cublasStrmv (char uplo, char trans, char diag, int n, const float *A, int lda, float *x, int incx){ struct cublasContext *ctx = CUBLAS_GET_CTX(); struct cublasStrmvParams params; cudaError_t cudaStat; int info = 0; if (!cublasInitialized (ctx)) { cublasSetError (ctx, CUBLAS_STATUS_NOT_INITIALIZED); return; } /* check other inputs */ if ((toupper (uplo) != 'U') && (toupper (uplo) != 'L')) { info = 1; } else if ((toupper (trans) != 'N') && (toupper (trans) != 'T') && (toupper (trans) != 'C')) { info = 2; } else if ((toupper (diag) != 'U') && (toupper (diag) != 'N')) { info = 3; } else if ((n < 0) && (n > CUBLAS_STRMV_MAX_DIM)) { info = 4; } else if (lda < imax (1, n)) { info = 6; } else if (incx == 0) { info = 8; } if (info) { cublasXerbla ("STRMV ", info); cublasSetError (ctx, CUBLAS_STATUS_INVALID_VALUE); return; } /* early out if nothing to do */ if (n == 0) { return; } memset (¶ms, 0, sizeof(params)); params.n = n; params.A = A; params.lda = lda; params.x = x; params.incx = incx; params.trans = ((toupper(trans) == 'T') || (toupper(trans) == 'C')); params.unit = (toupper(diag) == 'U'); params.up = (toupper(uplo) == 'U'); cudaStat = cudaGetLastError(); /* clear error status */ if (params.up) { if (params.trans) { strmv_up_tr_main<<<CUBLAS_STRMV_CTAS,CUBLAS_STRMV_THREAD_COUNT>>>(params); } else { strmv_up_nt_main<<<CUBLAS_STRMV_CTAS,CUBLAS_STRMV_THREAD_COUNT>>>(params); } } else { if (params.trans) { strmv_lo_tr_main<<<CUBLAS_STRMV_CTAS,CUBLAS_STRMV_THREAD_COUNT>>>(params); } else { strmv_lo_nt_main<<<CUBLAS_STRMV_CTAS,CUBLAS_STRMV_THREAD_COUNT>>>(params); } } cudaStat = cudaGetLastError(); /* check for launch error */ if (cudaStat != cudaSuccess) { cublasSetError (ctx, CUBLAS_STATUS_EXECUTION_FAILED); }}/* column-major ordering */#define IDXA(row,col) (parms.lda*(col)+(row))#define IDXX(i) (startx + ((i) * parms.incx))#define XINC (CUBLAS_STRMV_THREAD_COUNT)#define COL_OFS (IDXA(0,1)-IDXA(0,0))#define ROW_OFS (IDXA(1,0)-IDXA(0,0))__shared__ float xx[CUBLAS_STRMV_MAX_DIM]; /* cached portion of vector x */__global__ void strmv_up_tr_main (struct cublasStrmvParams parms) {#undef UP#undef TRANS#define TRANS 1#define UP 1#include "strmv.h"}__global__ void strmv_up_nt_main (struct cublasStrmvParams parms) {#undef UP#undef TRANS#define TRANS 0#define UP 1#include "strmv.h"}__global__ void strmv_lo_tr_main (struct cublasStrmvParams parms) {#undef UP#undef TRANS#define TRANS 1#define UP 0#include "strmv.h"}__global__ void strmv_lo_nt_main (struct cublasStrmvParams parms) {#undef UP#undef TRANS#define TRANS 0#define UP 0#include "strmv.h"}
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