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GPGPU / Graphics hardware / Concurrent computing / Video cards / Nvidia / Thread / CUDA / Kernel / Memory barrier / Computing / Computer architecture / Computer hardware


This is the author’s version of the work. The definitive work was published in Proceedings of the 9th International Workshop on Systems, Architectures, Modeling, and Simulation (SAMOS Workshop), pp, 2009. Effi
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Document Date: 2009-07-28 09:48:50


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Company

Teich Hardware / Software Co / NVIDIA / GPU / /

Country

Germany / /

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Facility

University of Erlangen-Nuremberg / /

IndustryTerm

multiresolution algorithm / commodity graphics hardware / image processing algorithm / actual algorithm / scalar streaming processors / inter-frame image processing / hardware solutions / medical imaging / fields multiresolution algorithms / image processing / graphics hardware / parallel commodity graphics hardware / image processing algorithms / intensive algorithm / multiresolution applications / digital film processing / streaming processors / multiresolution image processing algorithm / exhaustive search / memory hardware / image processing applications / /

Organization

University of Erlangen-Nuremberg / Department of Computer Science / U.S. Securities and Exchange Commission / /

Person

Richard Membarth / Frank Hannig / /

Position

author / programmer / /

ProgrammingLanguage

J / /

RadioStation

Core / /

Technology

128 streaming processors / computationally intensive algorithm / image compression / Graphics Processors / JPEG / multiresolution image processing algorithm / MPEG-4 / Multiresolution Image Filtering Algorithms / 128 processors / eight scalar streaming processors / image processing algorithm / streaming processors / Simulation / image processing algorithms / shared memory / fields multiresolution algorithms / image processing / Cell processor / 32 24 768 8 8192 16384 3 Mapping Methodology To map algorithms / actual algorithm / multiresolution algorithm / medical imaging / /

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