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1 On the Comparative Performance of Parallel Algorithms on Small GPU/CUDA Clusters N. P. Karunadasa & D. N. Ranasinghe University of Colombo School of Computing, Sri Lanka
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Document Date: 2009-11-13 17:38:42


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Computing / /

Company

International Journal / Hybrid GPU Accelerated Manycore Systems / NVIDIA / GPU / Intel / /

Country

Greece / India / /

Currency

pence / /

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Facility

International Institute of Information Technology Hyderabad / University of Colombo School / The University of Edinburgh / D. N. Ranasinghe University of Colombo School / Institute of Computer Science / /

IndustryTerm

performance computing / parallel applications / host processor / purpose applications / data processing / performance computing clusters / purpose matrix multiplication algorithm / given algorithm / performance applications / parallel processing / computing / separate processing engines / main computing engine / large graph algorithms / /

Organization

Center for Visual Information Technology / Foundation for Research and Technology Hellas / University of Edinburgh / University of Colombo School of Computing / International Institute of Information Technology Hyderabad / Institute of Computer Science / /

Person

H. Kasim / V / /

Position

Application Programmer / device driver / programmer / /

Product

CUDA+MPI / CUDA / /

Technology

Ethernet / purpose matrix multiplication algorithm / RAM / host processor / 4 processors / SLI technology / load balancing / Strassen algorithm / Strassens algorithm / Matrices Algorithm / Information Technology / given algorithm / Conjugate Gradient algorithm / shared memory / LGORITHMS AND IMPLEMENTATIONS A. Strassens algorithm / above two algorithms / parallel processing / 6 / the algorithm / large graph algorithms / /

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