/* StarPU --- Runtime system for heterogeneous multicore architectures.
 *
 * Copyright (C) 2009-2012  Université de Bordeaux
 * Copyright (C) 2010  Mehdi Juhoor <mjuhoor@gmail.com>
 * Copyright (C) 2010, 2011, 2012, 2013  CNRS
 * Copyright (C) 2011, 2012  INRIA
 *
 * 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 "../sched_ctx_utils/sched_ctx_utils.h"

struct starpu_perfmodel chol_model_11;
struct starpu_perfmodel chol_model_21;
struct starpu_perfmodel chol_model_22;

/*
 *	Create the codelets
 */

static 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},
#endif
	.nbuffers = 1,
	.modes = {STARPU_RW},
	.model = &chol_model_11
};

static 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},
#endif
	.nbuffers = 2,
	.modes = {STARPU_R, STARPU_RW},
	.model = &chol_model_21
};

static 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},
#endif
	.nbuffers = 3,
	.modes = {STARPU_R, STARPU_R, STARPU_RW},
	.model = &chol_model_22
};

/*
 *	code to bootstrap the factorization
 *	and construct the DAG
 */

static void callback_turn_spmd_on(void *arg STARPU_ATTRIBUTE_UNUSED)
{
	cl22.type = STARPU_SPMD;
}

int hypervisor_tag = 1;
static void _cholesky(starpu_data_handle_t dataA, unsigned nblocks)
{
	int ret;
	struct timeval start;
	struct timeval end;

	unsigned i,j,k;

	int prio_level = noprio?STARPU_DEFAULT_PRIO:STARPU_MAX_PRIO;

	gettimeofday(&start, NULL);

	if (bound)
		starpu_bound_start(0, 0);
	/* create all the DAG nodes */
	for (k = 0; k < nblocks; k++)
	{
                starpu_data_handle_t sdatakk = starpu_data_get_sub_data(dataA, 2, k, k);
		if(k == 0 && with_ctxs)
		{
			 ret = starpu_task_insert(&cl11,
						  STARPU_PRIORITY, prio_level,
						  STARPU_RW, sdatakk,
						  STARPU_CALLBACK, (k == 3*nblocks/4)?callback_turn_spmd_on:NULL,
						  STARPU_HYPERVISOR_TAG, hypervisor_tag,
						  0);
			set_hypervisor_conf(START_BENCH, hypervisor_tag++);
			STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_insert");
		}
		else
			starpu_task_insert(&cl11,
					   STARPU_PRIORITY, prio_level,
					   STARPU_RW, sdatakk,
					   STARPU_CALLBACK, (k == 3*nblocks/4)?callback_turn_spmd_on:NULL,
					   0);

		for (j = k+1; j<nblocks; j++)
		{
                        starpu_data_handle_t sdatakj = starpu_data_get_sub_data(dataA, 2, k, j);

                        ret = starpu_task_insert(&cl21,
						 STARPU_PRIORITY, (j == k+1)?prio_level:STARPU_DEFAULT_PRIO,
						 STARPU_R, sdatakk,
						 STARPU_RW, sdatakj,
						 0);
			STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_insert");

			for (i = k+1; i<nblocks; i++)
			{
				if (i <= j)
                                {
					starpu_data_handle_t sdataki = starpu_data_get_sub_data(dataA, 2, k, i);
					starpu_data_handle_t sdataij = starpu_data_get_sub_data(dataA, 2, i, j);

					if(k == (nblocks-2) && j == (nblocks-1) &&
					   i == (k + 1) && with_ctxs)
					{
						ret = starpu_task_insert(&cl22,
								   STARPU_PRIORITY, ((i == k+1) && (j == k+1))?prio_level:STARPU_DEFAULT_PRIO,
								   STARPU_R, sdataki,
								   STARPU_R, sdatakj,
								   STARPU_RW, sdataij,
								   STARPU_HYPERVISOR_TAG, hypervisor_tag,
								   0);
						STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_insert");
						set_hypervisor_conf(END_BENCH, hypervisor_tag++);
					}
					
					else
						ret = starpu_task_insert(&cl22,
								   STARPU_PRIORITY, ((i == k+1) && (j == k+1))?prio_level:STARPU_DEFAULT_PRIO,
								   STARPU_R, sdataki,
								   STARPU_R, sdatakj,
								   STARPU_RW, sdataij,
								   0);
						STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_insert");
					
                   }
			}
		}
	}

	starpu_task_wait_for_all();
	if (bound)
		starpu_bound_stop();

	starpu_data_unpartition(dataA, STARPU_MAIN_RAM);

	gettimeofday(&end, NULL);

	double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));

	unsigned long n = starpu_matrix_get_nx(dataA);

	double flop = (1.0f*n*n*n)/3.0f;

	if(with_ctxs || with_noctxs || chole1 || chole2)
		update_sched_ctx_timing_results((flop/timing/1000.0f), (timing/1000000.0f));
	else
	{
		FPRINTF(stderr, "Computation took (in ms)\n");
		FPRINTF(stdout, "%2.2f\n", timing/1000);
	
		FPRINTF(stderr, "Synthetic GFlops : %2.2f\n", (flop/timing/1000.0f));
		if (bound)
		{
			double res;
			starpu_bound_compute(&res, NULL, 0);
			FPRINTF(stderr, "Theoretical GFlops: %2.2f\n", (flop/res/1000000.0f));
		}
	}
}

static void cholesky(float *matA, unsigned size, unsigned ld, unsigned nblocks)
{
	starpu_data_handle_t dataA;

	/* monitor and partition the A matrix into blocks :
	 * one block is now determined by 2 unsigned (i,j) */
	starpu_matrix_data_register(&dataA, STARPU_MAIN_RAM, (uintptr_t)matA, ld, size, size, sizeof(float));

	struct starpu_data_filter f =
	{
		.filter_func = starpu_matrix_filter_vertical_block,
		.nchildren = nblocks
	};

	struct starpu_data_filter f2 =
	{
		.filter_func = starpu_matrix_filter_block,
		.nchildren = nblocks
	};

	starpu_data_map_filters(dataA, 2, &f, &f2);

	_cholesky(dataA, nblocks);

	starpu_data_unregister(dataA);
}

static void execute_cholesky(unsigned size, unsigned nblocks)
{
	float *mat;
	starpu_malloc((void **)&mat, (size_t)size*size*sizeof(float));

	unsigned i,j;
	for (i = 0; i < size; i++)
	{
		for (j = 0; j < size; j++)
		{
			mat[j +i*size] = (1.0f/(1.0f+i+j)) + ((i == j)?1.0f*size:0.0f);
			/* mat[j +i*size] = ((i == j)?1.0f*size:0.0f); */
		}
	}

/* #define PRINT_OUTPUT */
#ifdef PRINT_OUTPUT
	FPRINTF(stdout, "Input :\n");

	for (j = 0; j < size; j++)
	{
		for (i = 0; i < size; i++)
		{
			if (i <= j)
			{
				FPRINTF(stdout, "%2.2f\t", mat[j +i*size]);
			}
			else
			{
				FPRINTF(stdout, ".\t");
			}
		}
		FPRINTF(stdout, "\n");
	}
#endif

	cholesky(mat, size, size, nblocks);

#ifdef PRINT_OUTPUT
	FPRINTF(stdout, "Results :\n");
	for (j = 0; j < size; j++)
	{
		for (i = 0; i < size; i++)
		{
			if (i <= j)
			{
				FPRINTF(stdout, "%2.2f\t", mat[j +i*size]);
			}
			else
			{
				FPRINTF(stdout, ".\t");
				mat[j+i*size] = 0.0f; /* debug */
			}
		}
		FPRINTF(stdout, "\n");
	}
#endif

	if (check)
	{
		FPRINTF(stderr, "compute explicit LLt ...\n");
		for (j = 0; j < size; j++)
		{
			for (i = 0; i < size; i++)
			{
				if (i > j)
				{
					mat[j+i*size] = 0.0f; /* debug */
				}
			}
		}
		float *test_mat = malloc(size*size*sizeof(float));
		STARPU_ASSERT(test_mat);

		STARPU_SSYRK("L", "N", size, size, 1.0f,
					mat, size, 0.0f, test_mat, size);

		FPRINTF(stderr, "comparing results ...\n");
#ifdef PRINT_OUTPUT
		for (j = 0; j < size; j++)
		{
			for (i = 0; i < size; i++)
			{
				if (i <= j)
				{
					FPRINTF(stdout, "%2.2f\t", test_mat[j +i*size]);
				}
				else
				{
					FPRINTF(stdout, ".\t");
				}
			}
			FPRINTF(stdout, "\n");
		}
#endif

		for (j = 0; j < size; j++)
		{
			for (i = 0; i < size; i++)
			{
				if (i <= j)
				{
	                                float orig = (1.0f/(1.0f+i+j)) + ((i == j)?1.0f*size:0.0f);
	                                float err = abs(test_mat[j +i*size] - orig);
	                                if (err > 0.00001)
					{
	                                        FPRINTF(stderr, "Error[%u, %u] --> %2.2f != %2.2f (err %2.2f)\n", i, j, test_mat[j +i*size], orig, err);
	                                        assert(0);
	                                }
	                        }
			}
	        }
		free(test_mat);
	}
	starpu_free(mat);
}

int main(int argc, char **argv)
{
	/* create a simple definite positive symetric matrix example
	 *
	 *	Hilbert matrix : h(i,j) = 1/(i+j+1)
	 * */

	parse_args(argc, argv);

	if(with_ctxs || with_noctxs || chole1 || chole2)
		parse_args_ctx(argc, argv);

	starpu_init(NULL);

#ifdef STARPU_USE_CUDA
	initialize_chol_model(&chol_model_11,"chol_model_11",cpu_chol_task_11_cost,cuda_chol_task_11_cost);
	initialize_chol_model(&chol_model_21,"chol_model_21",cpu_chol_task_21_cost,cuda_chol_task_21_cost);
	initialize_chol_model(&chol_model_22,"chol_model_22",cpu_chol_task_22_cost,cuda_chol_task_22_cost);
#else
	initialize_chol_model(&chol_model_11,"chol_model_11",cpu_chol_task_11_cost,NULL);
	initialize_chol_model(&chol_model_21,"chol_model_21",cpu_chol_task_21_cost,NULL);
	initialize_chol_model(&chol_model_22,"chol_model_22",cpu_chol_task_22_cost,NULL);
#endif

	starpu_cublas_init();

	if(with_ctxs)
	{
		construct_contexts(execute_cholesky);
		start_2benchs(execute_cholesky);
	}
	else if(with_noctxs)
		start_2benchs(execute_cholesky);
	else if(chole1)
		start_1stbench(execute_cholesky);
	else if(chole2)
		start_2ndbench(execute_cholesky);
	else
		execute_cholesky(size, nblocks);

	starpu_cublas_shutdown();
	starpu_shutdown();

	if(with_ctxs)
		end_contexts();

	return 0;
}
