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Accelerating the MilkyWay@Home volunteer computing project with GPUs Travis Desell1 , Anthony Waters1 , Malik Magdon-Ismail1 , Boleslaw K. Szymanski1 , Carlos A. Varela1 , Matthew Newby2 , Heidi Newberg2 , Andreas Przyst
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Document Date: 2015-01-22 12:32:43


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City

Rostock / /

Company

IBM / Climateprediction.net / ATI / Nvidia / GPU / Sciences Laboratory / Microsoft / RPC / MilkyWay@Home / /

Country

Germany / United States / /

Event

Layoffs / /

Facility

Rensselaer Polytechnic Institute / University of California / /

IndustryTerm

volunteer computing system / probabilistic algorithm / volunteer computing projects / distributed computing project / aggregate processing resources / employed solution / concern using heterogeneous systems / natural sampling algorithm / supported products / software developers / computing / volunteer computing grids / volunteer computing setting / volunteer computing / performance computing environments / volunteer computing project / compiled applications / /

OperatingSystem

Mac OS X / Linux / Microsoft Windows / /

Organization

USA Institut f¨ / Department of Physics / Applied Physics and Astronomy / Department of Computer Science / Rensselaer Polytechnic Institute / US Federal Reserve / University of California / Berkeley / Department of Physics / /

Position

driver / rt / scheduler / memory controller / job scheduler / /

Product

Berkeley Open Infrastructure / /

ProgrammingLanguage

SQL / /

ProvinceOrState

Illinois / California / /

Technology

Linux / API / operating system / natural sampling algorithm / shared memory / operating systems / PDF / probabilistic algorithm / /

URL

http /

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