@Article{AAMM-8-6,
author = {Zheng, Li and Wu, Shuhong and Xu, Jinchao and Zhang, Chensong},
title = {Toward Cost-Effective Reservoir Simulation Solvers on GPUs},
journal = {Advances in Applied Mathematics and Mechanics},
year = {2016},
volume = {8},
number = {6},
pages = {971--991},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2075-1354},
doi = {https://doi.org/10.4208/aamm.2015.m1138},
url = {https://global-sci.com/article/73370/toward-cost-effective-reservoir-simulation-solvers-on-gpus}
}