Productivity and performance using partitioned global address space languages

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Productivity and performance using partitioned global address space languages

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International Conference on Symbolic and Algebraic Computation archive
Proceedings of the 2007 international workshop on Parallel symbolic computation table of contents

London, Ontario, Canada

SESSION: Invited speakers' papers table of contents

Pages: 24 - 32

Year of Publication: 2007

ISBN:978-1-59593-741-4

Authors

Katherine Yelick	University of California at Berkeley and Lawrence Berkeley National Laboratory
Dan Bonachea	University of California at Berkeley and Lawrence Berkeley National Laboratory
Wei-Yu Chen	University of California at Berkeley and Lawrence Berkeley National Laboratory
Phillip Colella	Lawrence Berkeley National Laboratory
Kaushik Datta	University of California at Berkeley and Lawrence Berkeley National Laboratory
Jason Duell	University of California at Berkeley and Lawrence Berkeley National Laboratory
Susan L. Graham	University of California at Berkeley
Paul Hargrove	University of California at Berkeley and Lawrence Berkeley National Laboratory
Paul Hilfinger	University of California at Berkeley
Parry Husbands	University of California at Berkeley and Lawrence Berkeley National Laboratory
Costin Iancu	Lawrence Berkeley National Laboratory
Amir Kamil	University of California at Berkeley
Rajesh Nishtala	University of California at Berkeley
Jimmy Su	University of California at Berkeley
Michael Welcome	Lawrence Berkeley National Laboratory
Tong Wen	Lawrence Berkeley National Laboratory

Sponsors

SIGSAM: ACM Special Interest Group on Symbolic and Algebraic Manipulation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 18, Downloads (12 Months): 100, Citation Count: 3

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ABSTRACT

Partitioned Global Address Space (PGAS) languages combine the programming convenience of shared memory with the locality and performance control of message passing. One such language, Unified Parallel C (UPC) is an extension of ISO C defined by a consortium that boasts multiple proprietary and open source compilers. Another PGAS language, Titanium, is a dialect of JavaTM designed for high performance scientific computation. In this paper we describe some of the highlights of two related projects, the Titanium project centered at U.C. Berkeley and the UPC project centered at Lawrence Berkeley National Laboratory. Both compilers use a source-to-source strategy that trans-lates the parallel languages to C with calls to a communication layer called GASNet. The result is portable high-performance compilers that run on a large variety of shared and distributed memory multiprocessors. Both projects combine compiler, runtime, and application efforts to demonstrate some of the performance and productivity advantages to these languages.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	Tong Wen , Jimmy Su , Phillip Colella , Katherine Yelick , Noel Keen, An adaptive mesh refinement benchmark for modern parallel programming languages, Proceedings of the 2007 ACM/IEEE conference on Supercomputing, November 10-16, 2007, Reno, Nevada
	Jun Shirako , Jisheng M. Zhao , V. Krishna Nandivada , Vivek N. Sarkar, Chunking parallel loops in the presence of synchronization, Proceedings of the 23rd international conference on Supercomputing, June 08-12, 2009, Yorktown Heights, NY, USA