Paper Information

Journal:   JOURNAL OF APPLIED AND COMPUTATIONAL SCIENCES IN MECHANICS (JOURNAL OF SCHOOL OF ENGINEERING)   SPRING-SUMMER 2017 , Volume 28 , Number 2(16) #H0048; Page(s) 0 To 0.
 
Paper:  PARALLEL THOMAS APPROACH IN COMPUTATIONAL FLUID DYNAMICS WITH GPUS- LID-DRIVEN CAVITY
 
Author(s):  AKBARZADEH P., MAHMOODI DARIAN H., NAZARI M., SOURI M.
 
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Abstract: 

In this paper three algorithms of Cyclic-Reduction, Parallel-Cyclic-Reduction and Parallel-Thomas are introduced to solve the Tridiagonal system of equations using GPUs and the effect of coalesced-memory-access and uncoalesced-memory-access to global memory are studied. To assess the ability of these algorithms, as a case-study the simulation of the lid-driven cavity flow have been compared to the results of Runtimes and physical parameters of the classical Thomas algorithm, executed on CPU. The maximum speed-up of these algorithms against CPU runtime is about 4.4x, 5.2x and 38.5x, respectively. Also, approximately a 2x speed-up achieved in coalesced-memory access on GPU.

 
Keyword(s): PARALLEL THOMAS APPROACH, PARALLEL PROCESSING, TRIDIAGONAL SYSTEM OF EQUATIONS, GRAPHIC PROCESSOR, CYCLIC REDUCTION ALGORITHM
 
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