NDLI: Balancing CPU-GPU Collaborative High-Order CFD Simulations on the Tianhe-1A Supercomputer

Content Provider	IEEE Xplore Digital Library
Author	Chuanfu Xu Lilun Zhang Xiaogang Deng Jianbin Fang Guangxue Wang Wei Cao Yonggang Che Yongxian Wang Wei Liu
Copyright Year	2014
Description	Author affiliation: Coll. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China (Chuanfu Xu; Lilun Zhang; Xiaogang Deng; Guangxue Wang; Wei Cao; Yonggang Che; Wei Liu) \|\| Parallel & Distrib. Syst. Group, Delft Univ. of Technol., Delft, Netherlands (Jianbin Fang) \|\| State Key Lab. of Aerodynamics, Mianyang, China (Yongxian Wang)
Abstract	HOSTA is an in-house high-order CFD software that can simulate complex flows with complex geometries. Large scale high-order CFD simulations using HOSTA require massive HPC resources, thus motivating us to port it onto modern GPU accelerated supercomputers like Tianhe-1A. To achieve a greater speedup and fully tap the potential of Tianhe-1A, we collaborate CPU and GPU for HOSTA instead of using a naive GPU-only approach. We present multiple novel techniques to balance the loads between the store-poor GPU and the store-rich CPU, and overlap the collaborative computation and communication as far as possible. Taking CPU and GPU load balance into account, we improve the maximum simulation problem size per Tianhe-1A node for HOSTA by 2.3X, meanwhile the collaborative approach can improve the performance by around 45% compared to the GPU-only approach. Scalability tests show that HOSTA can achieve a parallel efficiency of above 60% on 1024 Tianhe-1A nodes. With our method, we have successfully simulated China's large civil airplane configuration C919 containing 150M grid cells. To our best knowledge, this is the first paper that reports a CPUGPU collaborative high-order accurate aerodynamic simulation result with such a complex grid geometry.
Starting Page	725
Ending Page	734
File Size	442103
Page Count	10
File Format	PDF
ISBN	9781479937998
ISSN	15302075
e-ISBN	9781479938001
DOI	10.1109/IPDPS.2014.80
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Kernel Collaboration Computational fluid dynamics Computational modeling Memory management Performance evaluation high-order finite difference scheme GPU parallelization CFD CPU-GPU collaboration
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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