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1 – 1 of 1Andre Luis Cavalcanti Bueno, Noemi de La Rocque Rodriguez and Elisa Dominguez Sotelino
The purpose of this work is to present a methodology that harnesses the computational power of multiple graphics processing units (GPUs) and hides the complexities of tuning GPU…
Abstract
Purpose
The purpose of this work is to present a methodology that harnesses the computational power of multiple graphics processing units (GPUs) and hides the complexities of tuning GPU parameters from the users.
Design/methodology/approach
A methodology for auto-tuning OpenCL configuration parameters has been developed.
Findings
This described process helps simplify coding and generates a significant gain in time for each method execution.
Originality/value
Most authors develop their GPU applications for specific hardware configurations. In this work, a solution is offered to make the developed code portable to any GPU hardware.
Details