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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
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DTSTART:20101117T233000Z
DTEND:20101118T010000Z
LOCATION:393
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: With the advent of GPGPU and Cloud Computing, current measures of large scale systems performance (e.g. Top500) are becoming less useful at providing insight into systems performance, performance trending, and ignore the emergence of Cloud Computing.=0A=0AThe science and engineering community that rely on General Purpose CPU (GPCPU) computing need a more reliable standard of measure. This has the potential to increase competition, leverage new technologies like Cloud Computing, reduce purchasing overheads and increase the use of scientific computing.=0A=0AProblems to overcome are issues such as the lack of adoption, relevance to real-world performance, and completeness of the historical record. Further, the number and quality of submissions are often hindered by issues such as practical time constraint's, investment of staff resources to run them, physical access to a system, or willingness to participate.=0A=0AThis BOF will discuss alternative methods of ranking for large scale systems that might leverage existing measures including the Top500, SPEC, the NAS Parallel Benchmarks, etc. The ultimate goal to provide a relevant, timely and more universally adopted measure of systems performance for chip and system designers, system integrators, system providers, cloud providers and end users.=0A=0APanel members include representatives from Amazon, Argonne, IBM, Intel, NASA, SGI, and SPEC.=0A=0AParticipants will make a presentation that may discuss proposed measures, issues with current measures, or other relevant information. An open group discussion will follow.
SUMMARY:Providing a universal performance measurement framework for GPCPU
PRIORITY:3
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