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Harnessing massive parallelism in the era of parallelism for the masses

Published: 17 June 2007 Publication History

Abstract

As we embrace this new era of multicore and heterogeneous processors, we find ourselves ill-equipped to leverage the full potential of increasing parallelism. There are no widely-adopted parallel programming languages. With massive datasets, the growing importance of sensor-based systems, and increasingly large data models the I/O wall is looking more daunting than the memory wall. Current high-end software technology is not easily used by non-sophisticated developers.

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cover image ACM Conferences
ICS '07: Proceedings of the 21st annual international conference on Supercomputing
June 2007
315 pages
ISBN:9781595937681
DOI:10.1145/1274971
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2007

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ICS07
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ICS07: International Conference on Supercomputing
June 17 - 21, 2007
Washington, Seattle

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Overall Acceptance Rate 629 of 2,180 submissions, 29%

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