Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems

IEEE Computer(2012)

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摘要
A study of the implementation patterns among massively threaded applications for many-core GPUs reveals that each of the seven most commonly used algorithm and data optimization techniques can enhance the performance of applicable kernels by 2 to 10× in current processors while also improving future scalability. The featured Web extra is a video interview with author John Stratton, who describes how implementation patterns can improve future scalability. YouTube URL: http://youtu.be/fgn9LJbInMw
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关键词
graphics processing units,multiprocessing systems,optimisation,data optimization techniques,many-core GPU,massively threaded systems,Parboil benchmarks,accelerators,massively threaded systems,optimization patterns,scalability
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