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Approaching petascale computing

Published: 11 November 2006 Publication History

Abstract

Several federal agencies have announced plans to acquire large scale systems within the next few years which will have peak performance in the petascale range. In order to make sure that end users can take maximum advantage of these systems, Federal agencies, cooperating through the NITRD Program are following a multi-faceted approach which: 1) provides access to leadership class platforms at DOD, DOE, NASA and NSF, 2) determines how to handle data on the petabyte scale through their File Systems and I/O activities, and 3) aids the development of petascale applications through support of multi-disciplinary teams as in DOE/SC SciDAC Program, NSF science application programs, and DOE/NNSA ASC Academic Alliance Program for example. In addition, the DARPA HPCS Program is focused on the development of next generation architectures that will substantially improve the productivity, useability and application scope of multi-petaflop systems. This BOF, presented by the HEC IWG will review the implementation, status and future plans for these and other activities.

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cover image ACM Conferences
SC '06: Proceedings of the 2006 ACM/IEEE conference on Supercomputing
November 2006
746 pages
ISBN:0769527000
DOI:10.1145/1188455
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

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Published: 11 November 2006

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SC '06 Paper Acceptance Rate 54 of 239 submissions, 23%;
Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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