starpu-max/examples/cholesky/cholesky_kernels.c

/* StarPU --- Runtime system for heterogeneous multicore architectures.
 *
 * Copyright (C) 2009-2012, 2014  Université de Bordeaux
 * Copyright (C) 2010, 2011, 2012  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 <starpu.h>
#include "cholesky.h"
#include "../common/blas.h"
#if defined(STARPU_USE_CUDA) && defined(STARPU_HAVE_MAGMA)
#include "magma.h"
#include "magma_lapack.h"
#endif

/*
 *   U22 
 */

static inline void chol_common_cpu_codelet_update_u22(void *descr[], int s, STARPU_ATTRIBUTE_UNUSED void *_args)
{
	/* printf("22\n"); */
	float *left 	= (float *)STARPU_MATRIX_GET_PTR(descr[0]);
	float *right 	= (float *)STARPU_MATRIX_GET_PTR(descr[1]);
	float *center 	= (float *)STARPU_MATRIX_GET_PTR(descr[2]);

	unsigned dx = STARPU_MATRIX_GET_NY(descr[2]);
	unsigned dy = STARPU_MATRIX_GET_NX(descr[2]);
	unsigned dz = STARPU_MATRIX_GET_NY(descr[0]);

	unsigned ld21 = STARPU_MATRIX_GET_LD(descr[0]);
	unsigned ld12 = STARPU_MATRIX_GET_LD(descr[1]);
	unsigned ld22 = STARPU_MATRIX_GET_LD(descr[2]);

	if (s == 0)
	{
		int worker_size = starpu_combined_worker_get_size();

		if (worker_size == 1)
		{
			/* Sequential CPU kernel */
			STARPU_SGEMM("N", "T", dy, dx, dz, -1.0f, left, ld21, 
				right, ld12, 1.0f, center, ld22);
		}
		else
		{
			/* Parallel CPU kernel */
			unsigned rank = starpu_combined_worker_get_rank();

			unsigned block_size = (dx + worker_size - 1)/worker_size;
			unsigned new_dx = STARPU_MIN(dx, block_size*(rank+1)) - block_size*rank;
			
			float *new_left = &left[block_size*rank];
			float *new_center = &center[block_size*rank];

			STARPU_SGEMM("N", "T", dy, new_dx, dz, -1.0f, new_left, ld21, 
				right, ld12, 1.0f, new_center, ld22);
		}
	}
	else
	{
		/* CUDA kernel */
#ifdef STARPU_USE_CUDA
#ifdef STARPU_HAVE_MAGMA
		cublasSetKernelStream(starpu_cuda_get_local_stream());
#endif
		cublasSgemm('n', 't', dy, dx, dz, 
				-1.0f, left, ld21, right, ld12, 
				 1.0f, center, ld22);
#endif

	}
}

void chol_cpu_codelet_update_u22(void *descr[], void *_args)
{
	chol_common_cpu_codelet_update_u22(descr, 0, _args);
}

#ifdef STARPU_USE_CUDA
void chol_cublas_codelet_update_u22(void *descr[], void *_args)
{
	chol_common_cpu_codelet_update_u22(descr, 1, _args);
}
#endif /* STARPU_USE_CUDA */

/* 
 * U21
 */

static inline void chol_common_codelet_update_u21(void *descr[], int s, STARPU_ATTRIBUTE_UNUSED void *_args)
{
/*	printf("21\n"); */
	float *sub11;
	float *sub21;

	sub11 = (float *)STARPU_MATRIX_GET_PTR(descr[0]);
	sub21 = (float *)STARPU_MATRIX_GET_PTR(descr[1]);

	unsigned ld11 = STARPU_MATRIX_GET_LD(descr[0]);
	unsigned ld21 = STARPU_MATRIX_GET_LD(descr[1]);

	unsigned nx21 = STARPU_MATRIX_GET_NY(descr[1]);
	unsigned ny21 = STARPU_MATRIX_GET_NX(descr[1]);

	switch (s)
	{
		case 0:
			STARPU_STRSM("R", "L", "T", "N", nx21, ny21, 1.0f, sub11, ld11, sub21, ld21);
			break;
#ifdef STARPU_USE_CUDA
		case 1:
#ifdef STARPU_HAVE_MAGMA
			cublasSetKernelStream(starpu_cuda_get_local_stream());
#endif
			cublasStrsm('R', 'L', 'T', 'N', nx21, ny21, 1.0f, sub11, ld11, sub21, ld21);
			break;
#endif
		default:
			STARPU_ABORT();
			break;
	}
}

void chol_cpu_codelet_update_u21(void *descr[], void *_args)
{
	 chol_common_codelet_update_u21(descr, 0, _args);
}

#ifdef STARPU_USE_CUDA
void chol_cublas_codelet_update_u21(void *descr[], void *_args)
{
	chol_common_codelet_update_u21(descr, 1, _args);
}
#endif 

/*
 *	U11
 */

static inline void chol_common_codelet_update_u11(void *descr[], int s, STARPU_ATTRIBUTE_UNUSED void *_args) 
{
/*	printf("11\n"); */
	float *sub11;

	sub11 = (float *)STARPU_MATRIX_GET_PTR(descr[0]); 

	unsigned nx = STARPU_MATRIX_GET_NY(descr[0]);
	unsigned ld = STARPU_MATRIX_GET_LD(descr[0]);

	unsigned z;

	switch (s)
	{
		case 0:

#ifdef STARPU_MKL
			STARPU_SPOTRF("L", nx, sub11, ld);
#else
			/*
			 *	- 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);
		
				STARPU_SSCAL(nx - z - 1, 1.0f/lambda11, &sub11[(z+1)+z*ld], 1);
		
				STARPU_SSYR("L", nx - z - 1, -1.0f, 
							&sub11[(z+1)+z*ld], 1,
							&sub11[(z+1)+(z+1)*ld], ld);
			}
#endif
			break;
#ifdef STARPU_USE_CUDA
		case 1:
#ifdef STARPU_HAVE_MAGMA
			{
			int ret;
			int info;
#if (MAGMA_VERSION_MAJOR > 1) || (MAGMA_VERSION_MAJOR == 1 && MAGMA_VERSION_MINOR >= 4)
			cublasSetKernelStream(starpu_cuda_get_local_stream());
			magmablasSetKernelStream(starpu_cuda_get_local_stream());
#endif
			ret = magma_spotrf_gpu(MagmaLower, nx, sub11, ld, &info);
			if (ret != MAGMA_SUCCESS)
			{
				fprintf(stderr, "Error in Magma: %d\n", ret);
				STARPU_ABORT();
			}
#if (MAGMA_VERSION_MAJOR > 1) || (MAGMA_VERSION_MAJOR == 1 && MAGMA_VERSION_MINOR >= 4)
			cudaError_t cures = cudaStreamSynchronize(starpu_cuda_get_local_stream());
#else
			cudaError_t cures = cudaThreadSynchronize();
#endif
			STARPU_ASSERT(!cures);
			}
#else
			{

			float *lambda11;
			cudaHostAlloc((void **)&lambda11, sizeof(float), 0);

			for (z = 0; z < nx; z++)
			{
				
				cudaMemcpyAsync(lambda11, &sub11[z+z*ld], sizeof(float), cudaMemcpyDeviceToHost, starpu_cuda_get_local_stream());
				cudaStreamSynchronize(starpu_cuda_get_local_stream());

				STARPU_ASSERT(*lambda11 != 0.0f);
				
				*lambda11 = sqrt(*lambda11);

/*				cublasSetVector(1, sizeof(float), lambda11, sizeof(float), &sub11[z+z*ld], sizeof(float)); */
				cudaMemcpyAsync(&sub11[z+z*ld], lambda11, sizeof(float), cudaMemcpyHostToDevice, starpu_cuda_get_local_stream());

				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);
			}

			cudaStreamSynchronize(starpu_cuda_get_local_stream());
			cudaFreeHost(lambda11);
			}
#endif
			break;
#endif
		default:
			STARPU_ABORT();
			break;
	}
}


void chol_cpu_codelet_update_u11(void *descr[], void *_args)
{
	chol_common_codelet_update_u11(descr, 0, _args);
}

#ifdef STARPU_USE_CUDA
void chol_cublas_codelet_update_u11(void *descr[], void *_args)
{
	chol_common_codelet_update_u11(descr, 1, _args);
}
#endif/* STARPU_USE_CUDA */

struct starpu_codelet cl11 =
{
	.type = STARPU_SEQ,
	.cpu_funcs = {chol_cpu_codelet_update_u11},
#ifdef STARPU_USE_CUDA
	.cuda_funcs = {chol_cublas_codelet_update_u11},
#elif defined(STARPU_SIMGRID)
	.cuda_funcs = {(void*)1},
#endif
	.nbuffers = 1,
	.modes = { STARPU_RW },
	.model = &chol_model_11
};

struct starpu_codelet cl21 =
{
	.type = STARPU_SEQ,
	.cpu_funcs = {chol_cpu_codelet_update_u21},
#ifdef STARPU_USE_CUDA
	.cuda_funcs = {chol_cublas_codelet_update_u21},
#elif defined(STARPU_SIMGRID)
	.cuda_funcs = {(void*)1},
#endif
	.cuda_flags = {STARPU_CUDA_ASYNC},
	.nbuffers = 2,
	.modes = { STARPU_R, STARPU_RW },
	.model = &chol_model_21
};

struct starpu_codelet cl22 =
{
	.type = STARPU_SEQ,
	.max_parallelism = INT_MAX,
	.cpu_funcs = {chol_cpu_codelet_update_u22},
#ifdef STARPU_USE_CUDA
	.cuda_funcs = {chol_cublas_codelet_update_u22},
#elif defined(STARPU_SIMGRID)
	.cuda_funcs = {(void*)1},
#endif
	.cuda_flags = {STARPU_CUDA_ASYNC},
	.nbuffers = 3,
	.modes = { STARPU_R, STARPU_R, STARPU_RW | STARPU_COMMUTE },
	.model = &chol_model_22
};