Performance portability with the Chapel language

Albert Sidelnik, Saeed Maleki, Bradford L. Chamberlain, María J. Garzarán, David Padua

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It has been widely shown that high-throughput computing architectures such as GPUs offer large performance gains compared with their traditional low-latency counterparts for many applications. The downside to these architectures is that the current programming models present numerous challenges to the programmer: lower-level languages, loss of portability across different architectures, explicit data movement, and challenges in performance optimization. This paper presents novel methods and compiler transformations that increase programmer productivity by enabling users of the language Chapel to provide a single code implementation that the compiler can then use to target not only conventional multiprocessors, but also high-throughput and hybrid machines. Rather than resorting to different parallel libraries or annotations for a given parallel platform, this work leverages a language that has been designed from first principles to address the challenge of programming for parallelism and locality. This also has the advantage of providing portability across different parallel architectures. Finally, this work presents experimental results from the Parboil benchmark suite which demonstrate that codes written in Chapel achieve performance comparable to the original versions implemented in CUDA on both GPUs and multicore platforms.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012
Pages582-594
Number of pages13
DOIs
StatePublished - Oct 4 2012
Event2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012 - Shanghai, China
Duration: May 21 2012May 25 2012

Publication series

NameProceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012

Other

Other2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012
CountryChina
CityShanghai
Period5/21/125/25/12

ASJC Scopus subject areas

  • Software

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  • Cite this

    Sidelnik, A., Maleki, S., Chamberlain, B. L., Garzarán, M. J., & Padua, D. (2012). Performance portability with the Chapel language. In Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012 (pp. 582-594). [6267860] (Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012). https://doi.org/10.1109/IPDPS.2012.60