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Numerical linear algebra / Graphics hardware / Video cards / Concurrency control / Matrix theory / Matrix decomposition / CUDA / LU decomposition / Thread / Algebra / Linear algebra / Mathematics


IEEE Paper Template in A4 (V1)
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Document Date: 2011-11-11 12:59:16


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File Size: 946,22 KB

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City

Washington / DC / Berlin / Houston / Supercomputing / Computing / J. C / /

Company

W. H. Press / Cambridge University Press / GPU / B. P. Flannery S. A. / CUDA / Intel / NVIDIA Corporation / /

Country

United States / /

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Facility

D. N. Ranasinghe University of Colombo School / /

IndustryTerm

recursive right-looking algorithm / performance computing / branch processing / vector processing / parallel programmable processor / simpler linear systems / graphics processors / graphics hardware / intensive scientific applications / purpose algorithms / dense linear algebra algorithms / attractive computing platform / computing / parallel algorithm / inside stream processor / suitable parallel algorithm / dense linear systems / linear systems / loop processing / stream processor / decomposition algorithm / /

OperatingSystem

Linux / /

Organization

Cambridge University / Society for Industrial Mathematics / University of Colombo School of Computing / IEEE Computer Society / /

Person

S. Green J. E. Stone / /

Position

Author / MP / programmer / /

Product

Tesla C1060 GPU / /

ProgrammingLanguage

DC / C / /

Technology

RAM / inside stream processor / dense linear algebra algorithms / graphics processors / LU decomposition algorithm / Linux / suitable parallel algorithm / stream processor / parallel algorithm / parallel programmable processor / random access / purpose algorithms / shared memory / Parallel Processing / /

URL

http /

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