吉林大学学报（理学版）2013，Vol.51Issue(2)：250-256,7.DOI:10.7694/jdxblxb20130222
地下多相流动数值模拟的GPU并行优化
GPU Accelerated Numerical Simulation for Underground Multiphase Flow
摘要
Abstract
In order to decrease the simulating time and getting more detailed simulating results, this article implements a parallel bi-conjugate gradient stabilized method on GPU. The solver was integrated to TOUGHREACT and used in the numerical simulation of underground multiphase flow on GPU. CUDA implementing methods for sparse matrix-vector multiplication and vector inner-product are given in this paper. The experimental results show that GPU can speed up the process of solving the underground multi-phase flow simulation. On different scales of simulation grids, the speed was increased by 1. 7—3. 4 times.关键词
GPU通用计算/并行计算/多相流模拟Key words
GPGPU/ parallel computing/ multiphase flow simulation分类
信息技术与安全科学引用本文复制引用
魏晓辉,朱彤,李洪亮,李维山,许天福..地下多相流动数值模拟的GPU并行优化[J].吉林大学学报（理学版）,2013,51(2):250-256,7.基金项目
国家自然科学基金(批准号:61170004)、新世纪优秀人才支持计划项目(批准号:NCET-09-0428)、国家公益性科研专项基金(批准号:201011076)和中国地质调查局计划项目(批准号:1212011120048). （批准号:61170004）
