star-mc

Parallel estimation of Monte Carlo integrators
git clone git://git.meso-star.fr/star-mc.git
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commit 7e3cfe4cf5e8e5f4a6f0c56f96b7f08a7c1010dd
parent 41003e0912f6baf80ab1d32bb0a968c0891990d6
Author: Vincent Forest <vincent.forest@meso-star.com>
Date:   Thu,  7 Apr 2016 16:08:55 +0200

Add and test the smc_doubleN builtin type

Diffstat:
Mcmake/CMakeLists.txt | 3++-
Msrc/smc.h | 12+++++++++++-
Asrc/smc_doubleN.c | 216+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asrc/test_smc_doubleN.c | 126+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
4 files changed, 355 insertions(+), 2 deletions(-)

diff --git a/cmake/CMakeLists.txt b/cmake/CMakeLists.txt @@ -66,6 +66,7 @@ set(VERSION ${VERSION_MAJOR}.${VERSION_MINOR}.${VERSION_PATCH}) set(SMC_FILES_SRC smc_accumulator.c smc_device.c + smc_doubleN.c smc_estimator.c smc_type.c) set(SMC_FILES_INC_API smc.h) @@ -89,7 +90,6 @@ set_target_properties(smc PROPERTIES if(OPENMP_FOUND) set_target_properties(smc PROPERTIES COMPILE_FLAGS ${OpenMP_C_FLAGS}) - if(CMAKE_COMPILER_IS_GNUCC) set_target_properties(smc PROPERTIES LINK_FLAGS ${OpenMP_C_FLAGS}) endif() @@ -124,6 +124,7 @@ if(NOT NO_TEST) new_test(test_smc_device) new_test(test_smc_solve ${MATH_LIB}) + new_test(test_smc_doubleN ${MATH_LIB}) new_test(test_smc_integrate ${MATH_LIB}) if(NOT TARGET Star3D) diff --git a/src/smc.h b/src/smc.h @@ -127,10 +127,20 @@ BEGIN_DECLS /* Pre-declared SMC types */ SMC_API const struct smc_type smc_float; SMC_API const struct smc_type smc_double; +SMC_API const struct smc_type smc_doubleN; + +/* Context of a list of double precision floating point data. Must be set as + * the context parameter of the smc_solve function when the integrator type is + * smc_doubleN. */ +struct smc_doubleN_context { + size_t count; /* Number of floating point values */ + void* integrand_data; /* User defined data used by the integrand */ +}; -/* Syntactic sugar macros */ +/* Syntactic sugar macros and functions */ #define SMC_FLOAT(Val) (*(float*)(Val)) #define SMC_DOUBLE(Val) (*(double*)(Val)) +SMC_API double* SMC_DOUBLEN(void* val); /******************************************************************************* * Device API diff --git a/src/smc_doubleN.c b/src/smc_doubleN.c @@ -0,0 +1,216 @@ +/* Copyright (C) |Meso|Star> 2015 (contact@meso-star.com) + * + * This software is a computer program whose purpose is to manage the + * statistical estimation of a function. + * + * This software is governed by the CeCILL license under French law and + * abiding by the rules of distribution of free software. You can use, + * modify and/or redistribute the software under the terms of the CeCILL + * license as circulated by CEA, CNRS and INRIA at the following URL + * "http://www.cecill.info". + * + * As a counterpart to the access to the source code and rights to copy, + * modify and redistribute granted by the license, users are provided only + * with a limited warranty and the software's author, the holder of the + * economic rights, and the successive licensors have only limited + * liability. + * + * In this respect, the user's attention is drawn to the risks associated + * with loading, using, modifying and/or developing or reproducing the + * software by the user in light of its specific status of free software, + * that may mean that it is complicated to manipulate, and that also + * therefore means that it is reserved for developers and experienced + * professionals having in-depth computer knowledge. Users are therefore + * encouraged to load and test the software's suitability as regards their + * requirements in conditions enabling the security of their systems and/or + * data to be ensured and, more generally, to use and operate it in the + * same conditions as regards security. + * + * The fact that you are presently reading this means that you have had + * knowledge of the CeCILL license and that you accept its terms. */ + +#include "smc.h" +#include <rsys/dynamic_array_double.h> +#include <math.h> + +/******************************************************************************* + * smc_doubleN functions + ******************************************************************************/ +static void +smc_doubleN_destroy(struct mem_allocator* allocator, void* data) +{ + struct darray_double* dblN = data; + ASSERT(data); + darray_double_release(dblN); + MEM_RM(allocator, dblN); +} + +static void* +smc_doubleN_create(struct mem_allocator* allocator, void* context) +{ + struct smc_doubleN_context* ctx = context; + struct darray_double* dblN = NULL; + res_T res = RES_OK; + ASSERT(allocator); + + if(!ctx || !ctx->count) goto error; + + dblN = MEM_ALLOC(allocator, sizeof(struct darray_double)); + if(!dblN) goto error; + + darray_double_init(allocator, dblN); + res = darray_double_resize(dblN, ctx->count); + if(res != RES_OK) goto error; + +exit: + return dblN; +error: + if(dblN) { + smc_doubleN_destroy(allocator, dblN); + dblN = NULL; + } + goto exit; +} + +static void +smc_doubleN_set(void* result, const void* value) +{ + struct darray_double* dst = result; + const struct darray_double* src = value; + size_t i, n; + ASSERT(dst && src); + + n = darray_double_size_get(dst); + if(n != darray_double_size_get(src)) { + FATAL("The vectors must have the same dimension.\n"); + } + FOR_EACH(i, 0, n) { + darray_double_data_get(dst)[i] = darray_double_cdata_get(src)[i]; + } +} + +static void +smc_doubleN_zero(void* result) +{ + struct darray_double* dblN = result; + ASSERT(result); + memset(darray_double_data_get(dblN), 0, + darray_double_size_get(dblN)*sizeof(double)); +} + +static void +smc_doubleN_add(void* result, const void* op0, const void* op1) +{ + struct darray_double* dst = result; + const struct darray_double* a = op0; + const struct darray_double* b = op1; + size_t i, n; + ASSERT(result && op0 && op1); + + n = darray_double_size_get(dst); + if(n != darray_double_size_get(a) || n != darray_double_size_get(b)) { + FATAL("The vectors must have the same dimension.\n"); + } + FOR_EACH(i, 0, n) { + darray_double_data_get(dst)[i] = + darray_double_cdata_get(a)[i] + darray_double_cdata_get(b)[i]; + } +} + +static void +smc_doubleN_sub(void* result, const void* op0, const void* op1) +{ + struct darray_double* dst = result; + const struct darray_double* a = op0; + const struct darray_double* b = op1; + size_t i, n; + ASSERT(result && op0 && op1); + + n = darray_double_size_get(dst); + if(n != darray_double_size_get(a) || n != darray_double_size_get(b)) { + FATAL("The vectors must have the same dimension.\n"); + } + FOR_EACH(i, 0, n) { + darray_double_data_get(dst)[i] = + darray_double_cdata_get(a)[i] - darray_double_cdata_get(b)[i]; + } +} + +static void +smc_doubleN_mul(void* result, const void* op0, const void* op1) +{ + struct darray_double* dst = result; + const struct darray_double* a = op0; + const struct darray_double* b = op1; + size_t i, n; + ASSERT(result && op0 && op1); + + n = darray_double_size_get(dst); + if(n != darray_double_size_get(a) || n != darray_double_size_get(b)) { + FATAL("The vectors must have the same dimension.\n"); + } + FOR_EACH(i, 0, n) { + darray_double_data_get(dst)[i] = + darray_double_cdata_get(a)[i] * darray_double_cdata_get(b)[i]; + } +} + +static void +smc_doubleN_divi(void* result, const void* op0, const size_t op1) +{ + struct darray_double* dst = result; + const struct darray_double* a = op0; + size_t i, n; + ASSERT(result && op0 && op1); + + n = darray_double_size_get(dst); + if(n != darray_double_size_get(a)) { + FATAL("The vectors must have the same dimension.\n"); + } + FOR_EACH(i, 0, n) { + darray_double_data_get(dst)[i] = darray_double_cdata_get(a)[i]/(double)op1; + } +} + +static void +smc_doubleN_sqrt(void* result, const void* value) +{ + struct darray_double* dst = result; + const struct darray_double* src = value; + size_t i, n; + ASSERT(result && value); + + n = darray_double_size_get(dst); + if(n != darray_double_size_get(src)) { + FATAL("The vectors must have the same dimension.\n"); + } + FOR_EACH(i, 0, n) { + darray_double_data_get(dst)[i] = sqrt(darray_double_cdata_get(src)[i]); + } +} + +/******************************************************************************* + * Exported helper function + ******************************************************************************/ +double* +SMC_DOUBLEN(void* val) +{ + ASSERT(val); + return darray_double_data_get(val); +} + +/******************************************************************************* + * Exported type + ******************************************************************************/ +const struct smc_type smc_doubleN = { + smc_doubleN_create, + smc_doubleN_destroy, + smc_doubleN_set, + smc_doubleN_zero, + smc_doubleN_add, + smc_doubleN_sub, + smc_doubleN_mul, + smc_doubleN_divi, + smc_doubleN_sqrt +}; + diff --git a/src/test_smc_doubleN.c b/src/test_smc_doubleN.c @@ -0,0 +1,126 @@ +/* Copyright (C) |Meso|Star> 2015 (contact@meso-star.com) + * + * This software is a computer program whose purpose is to manage the + * statistical estimation of a function. + * + * This software is governed by the CeCILL license under French law and + * abiding by the rules of distribution of free software. You can use, + * modify and/or redistribute the software under the terms of the CeCILL + * license as circulated by CEA, CNRS and INRIA at the following URL + * "http://www.cecill.info". + * + * As a counterpart to the access to the source code and rights to copy, + * modify and redistribute granted by the license, users are provided only + * with a limited warranty and the software's author, the holder of the + * economic rights, and the successive licensors have only limited + * liability. + * + * In this respect, the user's attention is drawn to the risks associated + * with loading, using, modifying and/or developing or reproducing the + * software by the user in light of its specific status of free software, + * that may mean that it is complicated to manipulate, and that also + * therefore means that it is reserved for developers and experienced + * professionals having in-depth computer knowledge. Users are therefore + * encouraged to load and test the software's suitability as regards their + * requirements in conditions enabling the security of their systems and/or + * data to be ensured and, more generally, to use and operate it in the + * same conditions as regards security. + * + * The fact that you are presently reading this means that you have had + * knowledge of the CeCILL license and that you accept its terms. */ + +#include "smc.h" +#include "test_smc_utils.h" + +#include <star/ssp.h> + +#include <math.h> + +enum { + WEIGHT, + WEIGHT_SENSIBILITY_ALPHA, + WEIGHTS_COUNT +}; + +struct alpha { double value; }; + +static void +cos_x(void* value, struct ssp_rng* rng, void* context) +{ + double* result = SMC_DOUBLEN(value); + double samp; + struct smc_doubleN_context* ctx = context; + const struct alpha* alpha = ctx->integrand_data; + NCHECK(value, NULL); + NCHECK(rng, NULL); + samp = ssp_rng_uniform_double(rng, -PI/4.0, PI/4.0); + + result[WEIGHT] = + cos(alpha->value*samp) * PI / 2.0; + result[WEIGHT_SENSIBILITY_ALPHA] = + -samp * sin(alpha->value*samp) * PI/2.0; +} + +int +main(int argc, char** argv) +{ + struct mem_allocator allocator; + struct smc_device* dev; + struct smc_integrator integrator = SMC_INTEGRATOR_NULL; + struct smc_estimator* estimator; + struct smc_estimator_status status; + struct smc_doubleN_context ctx; + struct alpha alpha; + const double a = 0.4; + double result; + (void)argc, (void)argv; + + mem_init_proxy_allocator(&allocator, &mem_default_allocator); + + CHECK(smc_device_create(NULL, &allocator, SMC_NTHREADS_DEFAULT, NULL, &dev), + RES_OK); + + integrator.integrand = cos_x; + integrator.type = &smc_doubleN; + integrator.max_steps = 100000; + alpha.value = a; + ctx.count = WEIGHTS_COUNT; + ctx.integrand_data = &alpha; + + CHECK(smc_solve(dev, &integrator, NULL, &estimator), RES_MEM_ERR); + ctx.count = 0; + CHECK(smc_solve(dev, &integrator, &ctx, &estimator), RES_MEM_ERR); + ctx.count = WEIGHTS_COUNT; + CHECK(smc_solve(dev, &integrator, &ctx, &estimator), RES_OK); + CHECK(smc_estimator_get_status(estimator, &status), RES_OK); + + /* Check the estimated result */ + result = 2*sin(a*PI/4.0) / a; + printf("Integral[-PI/4, PI/4] cos(%g*x) dx = %g ~ %g +/- %g\n", + a, result, + SMC_DOUBLEN(status.E)[WEIGHT], + SMC_DOUBLEN(status.SE)[WEIGHT]); + CHECK(eq_eps + (result, + SMC_DOUBLEN(status.E)[WEIGHT], + SMC_DOUBLEN(status.SE)[WEIGHT]), 1); + + /* Check the estimated sensibility in alpha */ + result = 2*(a*PI/4.0*cos(a*PI/4.0) - sin(a*PI/4.0)) / (a*a); + printf("Integral'[-PI/4, PI/4] cos(%g*x) dx = %g ~ %g +/- %g\n", + a, result, + SMC_DOUBLEN(status.E)[WEIGHT_SENSIBILITY_ALPHA], + SMC_DOUBLEN(status.SE)[WEIGHT_SENSIBILITY_ALPHA]); + CHECK(eq_eps + (result, + SMC_DOUBLEN(status.E)[WEIGHT_SENSIBILITY_ALPHA], + SMC_DOUBLEN(status.SE)[WEIGHT_SENSIBILITY_ALPHA]), 1); + + CHECK(smc_estimator_ref_put(estimator), RES_OK); + CHECK(smc_device_ref_put(dev), RES_OK); + + check_memory_allocator(&allocator); + mem_shutdown_proxy_allocator(&allocator); + CHECK(mem_allocated_size(), 0); + return 0; +}