Toward cost-effective reservoir simulation solvers on GPUs

Zheng Li, Shuhong Wu, Jinchao Xu, Chensong Zhang

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

In this paper, we focus on graphical processing unit (GPU) and discuss how its architecture affects the choice of algorithm and implementation of fully-implicit petroleum reservoir simulation. In order to obtain satisfactory performance on new many-core architectures such as GPUs, the simulator developers must know a great deal on the specific hardware and spend a lot of time on fine tuning the code. Porting a large petroleum reservoir simulator to emerging hardware architectures is expensive and risky. We analyze major components of an in-house reservoir simulator and investigate how to port them to GPUs in a cost-effective way. Preliminary numerical experiments show that our GPU-based simulator is robust and effective. More importantly, these numerical results clearly identify the main bottlenecks to obtain ideal speedup on GPUs and possibly other many-core architectures.

Original languageEnglish (US)
Pages (from-to)971-991
Number of pages21
JournalAdvances in Applied Mathematics and Mechanics
Volume8
Issue number6
DOIs
StatePublished - Dec 1 2016

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Toward cost-effective reservoir simulation solvers on GPUs'. Together they form a unique fingerprint.

  • Cite this