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System software for high end computing
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Source ACM SIGOPS Operating Systems Review archive
Volume 40 ,  Issue 2  (April 2006) table of contents
COLUMN: Operating and runtime systems for high-end computing systems table of contents
Pages: 6 - 7  
Year of Publication: 2006
ISSN:0163-5980
Authors
Patrick G. Bridges  University of New Mexico, Albuquerque, NM
Arthur B. MacCabe  University of New Mexico, Albuquerque, NM
Orran Krieger  IBM T.J. Watson Research Center, Yorktown Heights, NY
Publisher
ACM  New York, NY, USA
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ABSTRACT

The challenges to the HEC system software community fundamentally originate from the need to efficiently exploit massive parallelism. This parallelism comes at either at the fine granularity through multiple cores or hardware accellerators, or at the large granularity, where systems have been built with 10,000 nodes connected over a high performance network. Such parallelism exposes new hardware abstractions that the OS needs to virtualize, introduces new reliability and management problems, new power management and file system issues, and generally requires more extensive software layers to protect programmers and system administrators from having to deal with the complexity of massive parallelism. While the HEC community clearly deals with extreme performance issues, many of the same trends are hitting the broader market. For example, all processor vendors are moving towards multiple cores, special purpose accelerators are becomming increasingly commoditized, and massive scale out systems are being used today by companies like Google.



Collaborative Colleagues:
Patrick G. Bridges: colleagues
Arthur B. MacCabe: colleagues
Orran Krieger: colleagues