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							- /* StarPU --- Runtime system for heterogeneous multicore architectures.
 
-  *
 
-  * Copyright (C) 2009, 2010  Université de Bordeaux 1
 
-  * Copyright (C) 2010, 2011  Centre National de la Recherche Scientifique
 
-  *
 
-  * StarPU is free software; you can redistribute it and/or modify
 
-  * it under the terms of the GNU Lesser General Public License as published by
 
-  * the Free Software Foundation; either version 2.1 of the License, or (at
 
-  * your option) any later version.
 
-  *
 
-  * StarPU is distributed in the hope that it will be useful, but
 
-  * WITHOUT ANY WARRANTY; without even the implied warranty of
 
-  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
 
-  *
 
-  * See the GNU Lesser General Public License in COPYING.LGPL for more details.
 
-  */
 
- #include "cholesky.h"
 
- #include "cholesky_kernels.h"
 
- #include "common/blas.h"
 
- #ifdef STARPU_USE_CUDA
 
- #include <cuda.h>
 
- #include <cuda_runtime.h>
 
- #include <cublas.h>
 
- #ifdef STARPU_HAVE_MAGMA
 
- #include "magma.h"
 
- #include "magma_lapack.h"
 
- #endif
 
- #endif
 
- /*
 
-  *   U22
 
-  */
 
- static inline void chol_common_cpu_codelet_update_u22(const float *left, const float *right, float *center, unsigned dx, unsigned dy, unsigned dz,
 
- 						      unsigned ld21, unsigned ld12, unsigned ld22, int s)
 
- {
 
- 	//printf("22\n");
 
- #ifdef STARPU_USE_CUDA
 
- 	cublasStatus st;
 
- #endif
 
- 	switch (s) {
 
- 		case 0:
 
- 			SGEMM("N", "T", dy, dx, dz, -1.0f, left, ld21,
 
- 				right, ld12, 1.0f, center, ld22);
 
- 			break;
 
- #ifdef STARPU_USE_CUDA
 
- 		case 1:
 
- 			cublasSgemm('n', 't', dy, dx, dz,
 
- 					-1.0f, left, ld21, right, ld12,
 
- 					 1.0f, center, ld22);
 
- 			st = cublasGetError();
 
- 			STARPU_ASSERT(!st);
 
- 			cudaThreadSynchronize();
 
- 			break;
 
- #endif
 
- 		default:
 
- 			STARPU_ABORT();
 
- 			break;
 
- 	}
 
- }
 
- void chol_cpu_codelet_update_u22(const float *left, const float *right, float *center, unsigned dx, unsigned dy, unsigned dz,
 
- 				 unsigned ld21, unsigned ld12, unsigned ld22)
 
- 	__attribute__ ((task_implementation ("cpu", chol_codelet_update_u22)));
 
- #ifdef STARPU_USE_CUDA
 
- void chol_cublas_codelet_update_u22(const float *left, const float *right, float *center, unsigned dx, unsigned dy, unsigned dz,
 
-                                     unsigned ld21, unsigned ld12, unsigned ld22)
 
- 	__attribute__ ((task_implementation ("cuda", chol_codelet_update_u22)));
 
- #endif
 
- void chol_cpu_codelet_update_u22(const float *left, const float *right, float *center, unsigned dx, unsigned dy, unsigned dz,
 
- 				 unsigned ld21, unsigned ld12, unsigned ld22)
 
- {
 
- 	chol_common_cpu_codelet_update_u22(left, right, center, dx, dx, dz, ld21, ld12, ld22, 0);
 
- }
 
- #ifdef STARPU_USE_CUDA
 
- void chol_cublas_codelet_update_u22(const float *left, const float *right, float *center, unsigned dx, unsigned dy, unsigned dz,
 
-                                     unsigned ld21, unsigned ld12, unsigned ld22)
 
- {
 
- 	chol_common_cpu_codelet_update_u22(left, right, center, dx, dx, dz, ld21, ld12, ld22, 1);
 
- }
 
- #endif// STARPU_USE_CUDA
 
- /*
 
-  * U21
 
-  */
 
- static inline void chol_common_codelet_update_u21(const float *sub11, float *sub21, unsigned ld11, unsigned ld21, unsigned nx21, unsigned ny21, int s)
 
- {
 
- 	switch (s) {
 
- 		case 0:
 
- 			STRSM("R", "L", "T", "N", nx21, ny21, 1.0f, sub11, ld11, sub21, ld21);
 
- 			break;
 
- #ifdef STARPU_USE_CUDA
 
- 		case 1:
 
- 			cublasStrsm('R', 'L', 'T', 'N', nx21, ny21, 1.0f, sub11, ld11, sub21, ld21);
 
- 			cudaThreadSynchronize();
 
- 			break;
 
- #endif
 
- 		default:
 
- 			STARPU_ABORT();
 
- 			break;
 
- 	}
 
- }
 
- void chol_cpu_codelet_update_u21(const float *sub11, float *sub21, unsigned ld11, unsigned ld21, unsigned nx21, unsigned ny21)
 
- 	__attribute__ ((task_implementation ("cpu", chol_codelet_update_u21)));
 
- #ifdef STARPU_USE_CUDA
 
- void chol_cublas_codelet_update_u21(const float *sub11, float *sub21, unsigned ld11, unsigned ld21, unsigned nx21, unsigned ny21)
 
- 	__attribute__ ((task_implementation ("cuda", chol_codelet_update_u21)));
 
- #endif
 
- void chol_cpu_codelet_update_u21(const float *sub11, float *sub21, unsigned ld11, unsigned ld21, unsigned nx21, unsigned ny21)
 
- {
 
- 	chol_common_codelet_update_u21(sub11, sub21, ld11, ld21, nx21, ny21, 0);
 
- }
 
- #ifdef STARPU_USE_CUDA
 
- void chol_cublas_codelet_update_u21(const float *sub11, float *sub21, unsigned ld11, unsigned ld21, unsigned nx21, unsigned ny21)
 
- {
 
-         chol_common_codelet_update_u21(sub11, sub21, ld11, ld21, nx21, ny21, 1);
 
- }
 
- #endif
 
- /*
 
-  *	U11
 
-  */
 
- static inline void chol_common_codelet_update_u11(float *sub11, unsigned nx, unsigned ld, int s)
 
- {
 
- 	unsigned z;
 
- 	switch (s) {
 
- 		case 0:
 
- 			/*
 
- 			 *	- alpha 11 <- lambda 11 = sqrt(alpha11)
 
- 			 *	- alpha 21 <- l 21	= alpha 21 / lambda 11
 
- 			 *	- A22 <- A22 - l21 trans(l21)
 
- 			 */
 
- 			for (z = 0; z < nx; z++)
 
- 			{
 
- 				float lambda11;
 
- 				lambda11 = sqrt(sub11[z+z*ld]);
 
- 				sub11[z+z*ld] = lambda11;
 
- 				STARPU_ASSERT(lambda11 != 0.0f);
 
- 				SSCAL(nx - z - 1, 1.0f/lambda11, &sub11[(z+1)+z*ld], 1);
 
- 				SSYR("L", nx - z - 1, -1.0f,
 
- 							&sub11[(z+1)+z*ld], 1,
 
- 							&sub11[(z+1)+(z+1)*ld], ld);
 
- 			}
 
- 			break;
 
- #ifdef STARPU_USE_CUDA
 
- 		case 1:
 
- #ifdef STARPU_HAVE_MAGMA
 
- 			{
 
- 				int ret;
 
- 				int info;
 
- 				ret = magma_spotrf_gpu('L', nx, sub11, ld, &info);
 
- 				if (ret != MAGMA_SUCCESS) {
 
- 					fprintf(stderr, "Error in Magma: %d\n", ret);
 
- 					STARPU_ABORT();
 
- 				}
 
- 				cudaError_t cures = cudaThreadSynchronize();
 
- 				STARPU_ASSERT(!cures);
 
- 			}
 
- #else
 
- 			for (z = 0; z < nx; z++)
 
- 			{
 
- 				float lambda11;
 
- 				cudaMemcpy(&lambda11, &sub11[z+z*ld], sizeof(float), cudaMemcpyDeviceToHost);
 
- 				cudaStreamSynchronize(0);
 
- 				STARPU_ASSERT(lambda11 != 0.0f);
 
- 				lambda11 = sqrt(lambda11);
 
- 				cublasSetVector(1, sizeof(float), &lambda11, sizeof(float), &sub11[z+z*ld], sizeof(float));
 
- 				cublasSscal(nx - z - 1, 1.0f/lambda11, &sub11[(z+1)+z*ld], 1);
 
- 				cublasSsyr('U', nx - z - 1, -1.0f,
 
- 							&sub11[(z+1)+z*ld], 1,
 
- 							&sub11[(z+1)+(z+1)*ld], ld);
 
- 			}
 
- 			cudaThreadSynchronize();
 
- #endif
 
- 			break;
 
- #endif
 
- 		default:
 
- 			STARPU_ABORT();
 
- 			break;
 
- 	}
 
- }
 
- void chol_cpu_codelet_update_u11(float *mat, unsigned nx, unsigned ld)
 
- 	__attribute__ ((task_implementation ("cpu", chol_codelet_update_u11)));
 
- #ifdef STARPU_USE_CUDA
 
- void chol_cublas_codelet_update_u11(float *mat, unsigned nx, unsigned ld)
 
- 	__attribute__ ((task_implementation ("cuda", chol_codelet_update_u11)));
 
- #endif
 
- void chol_cpu_codelet_update_u11(float *mat, unsigned nx, unsigned ld)
 
- {
 
- 	chol_common_codelet_update_u11(mat, nx, ld, 0);
 
- }
 
- #ifdef STARPU_USE_CUDA
 
- void chol_cublas_codelet_update_u11(float *mat, unsigned nx, unsigned ld)
 
- {
 
- 	chol_common_codelet_update_u11(mat, nx, ld, 1);
 
- }
 
- #endif// STARPU_USE_CUDA
 
 
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