TY - JOUR
T1 - Toward Cost-Effective Reservoir Simulation Solvers on GPUs
AU - Li , Zheng
AU - Wu , Shuhong
AU - Xu , Jinchao
AU - Zhang , Chensong
JO - Advances in Applied Mathematics and Mechanics
VL - 6
SP - 971
EP - 991
PY - 2018
DA - 2018/05
SN - 8
DO - http://doi.org/10.4208/aamm.2015.m1138
UR - https://global-sci.org/intro/article_detail/aamm/12126.html
KW - GPUs, reservoir simulation, fully-implicit method.
AB - <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>