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evolution_sin_d_kernel.cu
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/*
pcudaSAT: Simulating an efficient solution to SAT with active membranes on the GPU
This simulator is published on:
J.M. Cecilia, J.M. García, G.D. Guerrero, M.A. Martínez-del-Amor, I. Pérez-Hurtado,
M.J. Pérez-Jiménez. Simulating a P system based efficient solution to SAT by using
GPUs, Journal of Logic and Algebraic Programming, 79, 6 (2010), 317-325
pcudaSAT is a subproject of PMCGPU (Parallel simulators for Membrane
Computing on the GPU)
Copyright (c) 2010 Miguel Á. Martínez-del-Amor (RGNC, University of Seville)
Ginés D. Guerrero (GACOP, University of Murcia)
This file is part of pcudaSAT.
pcudaSAT is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
pcudaSAT 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 General Public License
along with pcudaSAT. If not, see <http://www.gnu.org/licenses/>. */
#ifndef _EVOLUTION_SIND_KERNEL_CU_
#define _EVOLUTION_SIND_KERNEL_CU_
#include "object.cu"
/*__device__ inline void setJ(Object & o, ushort j) {
o=(o&0xFFFFFF00)|j;
}
__device__ inline char getVar(Object & o) {
return (char)(o>>24);
}
__device__ inline ushort getJ(Object & o) {
return (ushort) (o&0xFF);
}*/
__global__ static void evolution_sin_d(const uint numMemb, const uint N, Object * cnf) {
const uint bid = blockIdx.x+gridDim.x*blockIdx.y;
const uint tid = threadIdx.x;
const uint blockSize = blockDim.x;
uint pivot = numMemb;
if (bid >= pivot)
return;
pivot >>= 1;
Object o = cnf[bid*blockSize+tid];
char var = getVar(o);
ushort j = getJ(o);
if (var == 'r' && j <= 2*N-1) {
j++;
setJ(o,j);
cnf[bid*blockSize+tid]=o;
}
}
#endif // _EVOLUTION_KERNEL_H_