THIS IS THE SECOND VOLUME OF MORGAN KAUFMANN'S "GPU COMPUTING GEMS", OFFERING AN ALL-NEW SET OF INSIGHTS, IDEAS, AND PRACTICAL "HANDS-ON" SKILLS FROM RESEARCHERS AND DEVELOPERS WORLDWIDE. EACH CHAPTER GIVES YOU A WINDOW INTO THE WORK BEING PERFORMED ACROSS A VARIETY OF APPLICATION DOMAINS, AND THE OPPORTUNITY TO WITNESS THE IMPACT OF PARALLEL GPU COMPUTING ON THE EFFICIENCY OF SCIENTIFIC RESEARCH. "GPU COMPUTING GEMS JADE EDITION" SHOWCASES THE LATEST RESEARCH SOLUTIONS WITH GPGPU AND CUDA, INCLUDING IMPROVING MEMORY ACCESS PATTERNS FOR CELLULAR AUTOMATA USING CUDA; LARGE-SCALE GAS TURBINE SIMULATIONS ON GPU CLUSTERS; IDENTIFYING AND MITIGATING CREDIT RISK USING LARGE-SCALE ECONOMIC CAPITAL SIMULATIONS; GPU-POWERED MATLAB ACCELERATION WITH JACKET; BIOLOGICALLY-INSPIRED MACHINE VISION; AN EFFICIENT CUDA ALGORITHM FOR THE MAXIMUM NETWORK FLOW PROBLEM; AND, 30 MORE CHAPTERS OF INNOVATIVE GPU COMPUTING IDEAS, WRITTEN TO BE ACCESSIBLE TO RESEARCHERS FROM ANY INDUSTRY. "GPU COMPUTING GEMS
ISBN Number | 9780123859631 |
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Author/s | HWU W |
Format | Book |
Edition | 1ST - 2012 |
Publisher | ELSEVIER S & T (USD) |
Format |