📄 csrot.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-1 function csrot */#include <stdlib.h>#include <assert.h>#include <string.h>#include <stdio.h>#include <limits.h>#include <math.h>#include "cublas.h" /* CUBLAS public header file */#include "cublasP.h" /* CUBLAS private header file */__global__ void csrot_main (struct cublasCsrotParams parms);/* * void * csrot (int n, cuComplex *x, int incx, cuCumplex *y, int incy, float c, * float s) * * multiplies a 2x2 matrix ( c s) with the 2xn matrix ( transpose(x) ) * (-s c) ( transpose(y) ) * * The elements of x are in x[lx + i * incx], i = 0 ... n - 1, where lx = 1 if * incx >= 0, else lx = 1 + (1 - n) * incx, and similarly for y using ly and * incy. * * Input * ----- * n number of elements in input vectors * x single-precision complex vector with n elements * incx storage spacing between elements of x * y single-precision complex vector with n elements * incy storage spacing between elements of y * c cosine component of rotation matrix * s sine component of rotation matrix * * Output * ------ * x rotated vector x (unchanged if n <= 0) * y rotated vector y (unchanged if n <= 0) * * Reference http://www.netlib.org/blas/csrot.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_EXECUTION_FAILED if function failed to launch on GPU */__host__ void CUBLASAPI cublasCsrot (int n, cuComplex *x, int incx, cuComplex *y, int incy, float c, float s){ struct cublasContext *ctx = CUBLAS_GET_CTX(); struct cublasCsrotParams params; cudaError_t cudaStat; int nbrCtas; int elemsPerCta; int threadsPerCta; if (!cublasInitialized (ctx)) { cublasSetError (ctx, CUBLAS_STATUS_NOT_INITIALIZED); return; } /* early out if nothing to do */ if (n <= 0) { return; } memset (¶ms, 0, sizeof(params)); params.n = n; params.cx = x; params.incx = incx; params.cy = y; params.incy = incy; params.sc = c; params.ss = s; cublasVectorSplay (n, CUBLAS_CSROT_THREAD_MIN, CUBLAS_CSROT_THREAD_MAX, CUBLAS_CSROT_CTAS_MAX, &nbrCtas, &elemsPerCta, &threadsPerCta); cudaStat = cudaGetLastError(); /* clear error status */ csrot_main<<<nbrCtas,threadsPerCta>>>(params); cudaStat = cudaGetLastError(); /* check for launch error */ if (cudaStat != cudaSuccess) { cublasSetError (ctx, CUBLAS_STATUS_EXECUTION_FAILED); }}__global__ void csrot_main (struct cublasCsrotParams parms) { int i, n, tid, totalThreads, ctaStart; cuComplex w, z; cuComplex *cx; cuComplex *cy; /* NOTE: wrapper must ensure that parms.n > 0 */ tid = threadIdx.x; n = parms.n; cx = parms.cx; cy = parms.cy; totalThreads = gridDim.x*blockDim.x; ctaStart = blockDim.x*blockIdx.x; if ((parms.incx == 0) || (parms.incy == 0)) { if ((blockIdx.x == 0) && (tid == 0)) { if ((parms.incx == 0) && (parms.incy == 0)) { cuComplex tw, tz; w = parms.cx[0]; z = parms.cy[0]; for (i = 0; i < parms.n; i++) { tw.x = parms.sc * w.x + parms.ss * z.x; tw.y = parms.sc * w.y + parms.ss * z.y; tz.x = parms.sc * z.x - parms.ss * w.x; tz.y = parms.sc * z.y - parms.ss * w.y; w = tw; z = tz; } cx[0] = w; cy[0] = z; } else if (parms.incx == 0) { int ky = (parms.incy < 0) ? ((1 - parms.n) * parms.incy) : 0; cuComplex temp = parms.cx[0]; cuComplex tmp2; for (i = 0; i < parms.n; i++) { w = temp; z = cy[ky]; temp.x = parms.sc * w.x + parms.ss * z.x; temp.y = parms.sc * w.y + parms.ss * z.y; tmp2.x = parms.sc * z.x - parms.ss * w.x; tmp2.y = parms.sc * z.y - parms.ss * w.y; cy[ky] = tmp2; ky += parms.incy; } cx[0] = temp; } else { int kx = (parms.incx < 0) ? ((1 - parms.n) * parms.incx) : 0; cuComplex temp = parms.cy[0]; cuComplex tmp2; for (i = 0; i < parms.n; i++) { w = parms.cx[kx]; z = temp; tmp2.x = parms.sc * w.x + parms.ss * z.x; tmp2.y = parms.sc * w.y + parms.ss * z.y; temp.x = parms.sc * z.x - parms.ss * w.x; temp.y = parms.sc * z.y - parms.ss * w.y; parms.cx[kx] = tmp2; kx += parms.incx; } parms.cy[0] = temp; } } } else if ((parms.incx == parms.incy) && (parms.incx > 0)) { /* equal, positive, increments */ if (parms.incx == 1) { cuComplex temp, tmp2; /* both increments equal to 1 */ for (i = ctaStart + tid; i < parms.n; i += totalThreads) { w = cx[i]; z = cy[i]; temp.x = parms.sc * w.x + parms.ss * z.x; temp.y = parms.sc * w.y + parms.ss * z.y; tmp2.x = parms.sc * z.x - parms.ss * w.x; tmp2.y = parms.sc * z.y - parms.ss * w.y; cx[i] = temp; cy[i] = tmp2; } } else { /* equal, positive, non-unit increments. */ cuComplex temp, tmp2; for (i = ctaStart + tid; i < parms.n; i += totalThreads) { w = cx[i*parms.incx]; z = cy[i*parms.incx]; temp.x = parms.sc * w.x + parms.ss * z.x; temp.y = parms.sc * w.y + parms.ss * z.y; tmp2.x = parms.sc * z.x - parms.ss * w.x; tmp2.y = parms.sc * z.y - parms.ss * w.y; cx[i*parms.incx] = temp; cy[i*parms.incy] = tmp2; } } } else { /* unequal or nonpositive increments */ cuComplex temp, tmp2; int ix = ((parms.incx < 0) ? ((1 - n) * parms.incx) : 0); int iy = ((parms.incy < 0) ? ((1 - n) * parms.incy) : 0); for (i = ctaStart + tid; i < parms.n; i += totalThreads) { w = cx[ix+i*parms.incx]; z = cy[iy+i*parms.incy]; temp.x = parms.sc * w.x + parms.ss * z.x; temp.y = parms.sc * w.y + parms.ss * z.y; tmp2.x = parms.sc * z.x - parms.ss * w.x; tmp2.y = parms.sc * z.y - parms.ss * w.y; cx[ix+i*parms.incx] = temp; cy[iy+i*parms.incy] = tmp2; } }}
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