GPGPU implementation of the BFECC algorithm for pure advection equations

被引：4
作者：
Costarelli, Santiago D. [1 ,2 ]
Storti, Mario A. [1 ,2 ]
Paz, Rodrigo R. [1 ,2 ]
Dalcin, Lisandro D. [1 ,2 ]
Idelsohn, Sergio R. [1 ,2 ,3 ,4 ]
机构：
[1] Univ Nacl Litoral, INTEC, CIMEC, Santa Fe, Argentina
[2] Consejo Nacl Invest Cient & Tecn, Santa Fe, Argentina
[3] ICREA, Barcelona, Spain
[4] Tech Univ Catalonia UPC, Int Ctr Numer Methods Engn CIMNE, Barcelona 08034, Spain
来源：
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2014年 / 17卷 / 02期
基金：
欧洲研究理事会;
关键词：
GPGPU; CUDA; BFECC; Semi-Lagrangian; Level-Set; Navier-Stokes; INCOMPRESSIBLE-FLOW; CIRCULAR-CYLINDER; UPSTREAM; SCHEMES;
D O I：
10.1007/s10586-013-0329-9
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the present work an implementation of the Back and Forth Error Compensation and Correction (BFECC) algorithm specially suited for running on General-Purpose Graphics Processing Units (GPGPUs) through Nvidia's Compute Unified Device Architecture (CUDA) is analyzed in order to solve transient pure advection equations. The objective is to compare it to a previous explicit version used in a Navier-Stokes solver fully written in CUDA. It turns out that BFECC could be implemented with unconditional stable stability using Semi-Lagrangian time integration allowing larger time steps than Eulerian ones.
引用
收藏
页码：243 / 254
页数：12
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