Implementation and evaluation of the HPC challenge benchmark in the XcalableMP PGAS language. (January 2019)

• Record Type: Journal Article
• Authors: Nakao, Masahiro; Murai, Hitoshi; Iwashita, Hidetoshi; Boku, Taisuke; Sato, Mitsuhisa
• Is Part Of: International journal of high performance computing applications. Volume 33:Number 1(2019)
• Page Start: 110
• Page End: 123
• Publication Date: 2019-01
• Subjects: Parallel language -- partitioned global address space -- high performance computing -- programming model -- XcalableMP; High performance computing -- Periodicals; Supercomputers -- Periodicals; 004.1105
• DOI: 10.1177/1094342017698214
• Languages: English
• ISSNs: 1094-3420

Abstract

To improve productivity for developing parallel applications on high performance computing systems, the XcalableMP PGAS language has been proposed. XcalableMP supports both a typical parallelization under the "global-view memory model" which uses directives and a flexible parallelization under the "local-view memory model" which uses coarray features. The goal of the present paper is to clarify XcalableMP's productivity and performance. To do so, we implement and evaluate the high performance computing challenge benchmark, namely, EP STREAM Triad, High Performance Linpack, Global fast Fourier transform, and RandomAccess on the K computer using up to 16, 384 compute nodes and a generic cluster system using up to 128 compute nodes. We found that we could more easily implement the benchmarks using XcalableMP rather than using MPI. Moreover, most of the performance results using XcalableMP were almost the same as those using MPI.