Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems

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John A. Stratton, Christopher I. Rodrigues, I-Jui Sung, Li-Wen Chang, Nasser Anssari, Geng Daniel Liu, Wen-mei W. Hwu, Nady Obeid

Published: 2012, Last Modified: 14 Nov 2024Computer 2012EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: 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.