DocumentCode
166661
Title
Scalable Graph500 design with MPI-3 RMA
Author
Mingzhe Li ; Xiaoyi Lu ; Potluri, Sreeram ; Hamidouche, Khaled ; Jose, Jithin ; Tomko, Karen ; Panda, Dhabaleswar K.
Author_Institution
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
fYear
2014
fDate
22-26 Sept. 2014
Firstpage
230
Lastpage
238
Abstract
The MPI two-sided programming model has been widely used for scientific applications. However, the benefits of MPI one-sided communication are still not well exploited. Recently, MPI-3 Remote Memory Access (RMA) was introduced with several advanced features which provide better performance, programmability, and flexibility over MPI-2 RMA. However, few studies have shown the benefits of using MPI-3 RMA for scientific applications. In this paper, we take advantage of the new features from MPI-3 RMA to re-design a scalable Graph500 benchmark. Our design achieves much better overlap of communication and computation than the default two sided based implementation. The results show that the proposed design can achieve up to 2X improvement compared with the best MPI based implementation running with 4,096 cores. To the best of our knowledge, this is the first paper to re-design a high performance and scalable Graph500 with MPI-3 RMA.
Keywords
application program interfaces; message passing; parallel programming; MPI two-sided programming model; MPI-3 RMA; message passing interface; remote memory access; scalable Graph500 design; Algorithm design and analysis; Benchmark testing; Data models; Kernel; Scalability; Supercomputers; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing (CLUSTER), 2014 IEEE International Conference on
Conference_Location
Madrid
Type
conf
DOI
10.1109/CLUSTER.2014.6968755
Filename
6968755
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