Skip to content
Snippets Groups Projects
Commit 9b5eefa6 authored by Matthieu Schaller's avatar Matthieu Schaller
Browse files

Separated the calculation of the kernel W(x,h) from the interactions. The...

Separated the calculation of the kernel W(x,h) from the interactions. The kernel is now computed in kernel.h, allowing multiple definition of SPH to share the same kernels.


Former-commit-id: c80c174a8b624b425f05289807754c6cf0d9e89e
parent 7d955e84
No related branches found
No related tags found
No related merge requests found
/*******************************************************************************
* This file is part of SWIFT.
* Coypright (c) 2012 Pedro Gonnet (pedro.gonnet@durham.ac.uk)
* Matthieu Schaller (matthieu.schaller@durham.ac.uk)
*
* This program 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 3 of the License, or
* (at your option) any later version.
*
* This program 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 General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
******************************************************************************/
#ifndef KERNEL_H
#define KERNEL_H
/**
* @file kernel.h
* @brief SPH kernel functions. Compute W(x,h) and the gradient of W(x,h).
*/
#include "vector.h"
/* Coefficients for the kernel. */
#define kernel_degree 3
#define kernel_ivals 2
#define kernel_gamma 0.5f
#define kernel_igamma 2.0f
#define kernel_igamma3 8.0f
#define kernel_igamma4 16.0f
static float kernel_coeffs[ (kernel_degree + 1) * (kernel_ivals + 1) ] __attribute__ ((aligned (16))) =
{ 3.0/4.0*M_1_PI , -3.0/2.0*M_1_PI , 0.0 , M_1_PI ,
-0.25*M_1_PI , 3.0/2.0*M_1_PI , -3.0*M_1_PI , M_2_PI ,
0.0 , 0.0 , 0.0 , 0.0 };
#define kernel_root ( kernel_coeffs[ kernel_degree ] )
#define kernel_wroot ( 4.0/3.0*M_PI*kernel_igamma3*kernel_coeffs[ kernel_degree ] )
/**
* @brief Computes the kernel and its derivative for a given distance x.
*/
__attribute__ ((always_inline)) INLINE static void kernel_deval ( float x , float *W , float *dW_dx ) {
int ind = fmin( x , kernel_ivals );
float *coeffs = &kernel_coeffs[ ind*(kernel_degree + 1) ];
float w = coeffs[0]*x + coeffs[1];
float dw_dx = coeffs[0];
for ( int k = 2 ; k <= kernel_degree ; k++ ) {
dw_dx = dw_dx*x + w;
w = x*w + coeffs[k];
}
*W = w;
*dW_dx = dw_dx;
}
#ifdef VECTORIZE
/**
* @brief Computes the kernel and its derivative for a given distance x (Vectorized version)
*/
__attribute__ ((always_inline)) INLINE static void kernel_deval_vec ( vector *x , vector *w , vector *dw_dx ) {
vector ind, c[kernel_degree+1];
int j, k;
/* Load x and get the interval id. */
ind.m = vec_ftoi( vec_fmin( x->v , vec_set1( (float)kernel_ivals ) ) );
/* load the coefficients. */
for ( k = 0 ; k < VEC_SIZE ; k++ )
for ( j = 0 ; j < kernel_degree+1 ; j++ )
c[j].f[k] = kernel_coeffs[ ind.i[k]*(kernel_degree + 1) + j ];
/* Init the iteration for Horner's scheme. */
w->v = ( c[0].v * x->v ) + c[1].v;
dw_dx->v = c[0].v;
/* And we're off! */
for ( int k = 2 ; k <= kernel_degree ; k++ ) {
dw_dx->v = ( dw_dx->v * x->v ) + w->v;
w->v = ( x->v * w->v ) + c[k].v;
}
}
#endif
/**
* @brief Computes the kernel for a given distance x
*/
__attribute__ ((always_inline)) INLINE static void kernel_eval ( float x , float *W ) {
int ind = fmin( x , kernel_ivals );
float *coeffs = &kernel_coeffs[ ind*(kernel_degree + 1) ];
float w = coeffs[0]*x + coeffs[1];
for ( int k = 2 ; k <= kernel_degree ; k++ )
w = x*w + coeffs[k];
*W = w;
}
#endif //KERNEL_H
/*******************************************************************************
* This file is part of SWIFT.
* Coypright (c) 2012 Pedro Gonnet (pedro.gonnet@durham.ac.uk)
* Matthieu Schaller (matthieu.schaller@durham.ac.uk)
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published
......@@ -16,83 +17,20 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
******************************************************************************/
#include "kernel.h"
#include "vector.h"
/* Coefficients for the kernel. */
#define kernel_degree 3
#define kernel_ivals 2
#define kernel_gamma 0.5f
#define kernel_igamma 2.0f
#define kernel_igamma3 8.0f
#define kernel_igamma4 16.0f
static float kernel_coeffs[ (kernel_degree + 1) * (kernel_ivals + 1) ] __attribute__ ((aligned (16))) =
{ 3.0/4.0*M_1_PI , -3.0/2.0*M_1_PI , 0.0 , M_1_PI ,
-0.25*M_1_PI , 3.0/2.0*M_1_PI , -3.0*M_1_PI , M_2_PI ,
0.0 , 0.0 , 0.0 , 0.0 };
#define kernel_root ( kernel_coeffs[ kernel_degree ] )
#define kernel_wroot ( 4.0/3.0*M_PI*kernel_igamma3*kernel_coeffs[ kernel_degree ] )
/**
* @brief Helper function to evaluate the kernel at a given x.
* @file runner_iact.h
* @brief SPH interaction functions following the Gadget-2 version of SPH.
*
* The interactions computed here are the ones presented in the Gadget-2 paper and use the same
* numerical coefficients as the Gadget-2 code. When used with the Spline-3 kernel, the results
* should be equivalent to the ones obtained with Gadget-2 up to the rounding errors and interactions
* missed by the Gadget-2 tree-code neighbours search.
*/
__attribute__ ((always_inline)) INLINE static void kernel_deval ( float x , float *W , float *dW_dx ) {
int ind = fmin( x , kernel_ivals );
float *coeffs = &kernel_coeffs[ ind*(kernel_degree + 1) ];
float w = coeffs[0]*x + coeffs[1];
float dw_dx = coeffs[0];
for ( int k = 2 ; k <= kernel_degree ; k++ ) {
dw_dx = dw_dx*x + w;
w = x*w + coeffs[k];
}
*W = w;
*dW_dx = dw_dx;
}
#ifdef VECTORIZE
__attribute__ ((always_inline)) INLINE static void kernel_deval_vec ( vector *x , vector *w , vector *dw_dx ) {
vector ind, c[kernel_degree+1];
int j, k;
/* Load x and get the interval id. */
ind.m = vec_ftoi( vec_fmin( x->v , vec_set1( (float)kernel_ivals ) ) );
/* load the coefficients. */
for ( k = 0 ; k < VEC_SIZE ; k++ )
for ( j = 0 ; j < kernel_degree+1 ; j++ )
c[j].f[k] = kernel_coeffs[ ind.i[k]*(kernel_degree + 1) + j ];
/* Init the iteration for Horner's scheme. */
w->v = ( c[0].v * x->v ) + c[1].v;
dw_dx->v = c[0].v;
/* And we're off! */
for ( int k = 2 ; k <= kernel_degree ; k++ ) {
dw_dx->v = ( dw_dx->v * x->v ) + w->v;
w->v = ( x->v * w->v ) + c[k].v;
}
}
#endif
__attribute__ ((always_inline)) INLINE static void kernel_eval ( float x , float *W ) {
int ind = fmin( x , kernel_ivals );
float *coeffs = &kernel_coeffs[ ind*(kernel_degree + 1) ];
float w = coeffs[0]*x + coeffs[1];
for ( int k = 2 ; k <= kernel_degree ; k++ )
w = x*w + coeffs[k];
*W = w;
}
/**
* @brief Density loop
......
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment