Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems.

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...

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Detalles Bibliográficos
Publicado en:	Computer (00189162) Vol. 45; no. 8; pp. 26 - 33
Autores principales:	Stratton, John A., Rodrigues, Christopher, Sung, I-Jui, Chang, Li-Wen, Anssari, Nasser, Liu, Geng, Hwu, Wen-mei W., Obeid, Nady
Formato:	Artículo
Publicado:	IEEE Aug2012
Materias:	Graphics processing units Algorithms Stratton, John Computer input-output equipment Bandwidths Integrated circuits
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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