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GPU Acceleration of an Unmodified Parallel Finite Element Navier–Stokes Solver Dominik G¨oddeke, Sven H.M. Buijssen, Hilmar Wobker and Stefan Turek Angewandte Mathematik und Numerik, TU Dortmund, Germany dominik.goedd
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Document Date: 2010-02-28 15:48:18


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City

Houston / Fatahalian / Dortmund / /

Company

Distributed Systems / Patrick McCormick / BT / GPU / Future Generation Computer Systems / Robert Strzodka / SIAM Journal / AMD / NVIDIA / Amdahl / /

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Event

Business Partnership / /

Facility

UMFPACK library / /

IndustryTerm

software engineering / performance computing / convection operator / indefinite linear systems / sparse systems / co-processors / kinematic energy / software perspective / energy / solver infrastructure / terascale computing / scalar systems / sample applications / pressure separation algorithms / graphics processors / graphics hardware / approximate solution / scientific algorithms / computing / co-processor / Block systems / /

MarketIndex

DFG / Channel Flow / /

Organization

CA RC / US Department of Energy / office of Science / American Mathematical Society / European Union / /

Person

A. Kaufman / Recent Advances / F. Qiu / Sven H.M. Buijssen / S. Yoakum-Stover / Jamaludin Mohd-Yusof / Hilmar Wobker / Christian Becker / Stefan Turek Angewandte Mathematik / /

Position

editor / matrix Mp / hardware scheduler / representative / memory controller / /

Product

minimally invasive GPU / /

ProgrammingLanguage

RC / C / K / Fortran / /

ProvinceOrState

Kansas / /

PublishedMedium

the International Journal / Communications of the ACM / Journal of Computational Physics / /

Technology

graphics processors / API / 320 Xeon processors / fluid dynamics / pressure separation algorithms / Cell processor / Solution Algorithm / simulation / /

URL

GPGPU.ORG / /

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