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Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems

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8 Author(s)

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.

Published in:

Computer  (Volume:45 ,  Issue: 8 )