An adaptive methodology for multi-GPU programming in OpenCL. Issue 4 (12th June 2017)

• Record Type: Journal Article
• Authors: Cavalcanti Bueno, Andre Luis; de La Rocque Rodriguez, Noemi; Dominguez Sotelino, Elisa
• Is Part Of: Engineering computations. Volume 34:Issue 4(2017)
• Page Start: 1277
• Page End: 1292
• Publication Date: 2017-06-12
• Subjects: Conjugate gradient method -- GPGPU -- High-performance computing -- Multi-GPU -- OpenCL; Computer-aided engineering -- Periodicals; Computer graphics -- Periodicals; 620.00285
• DOI: 10.1108/EC-12-2015-0392
• Languages: English
• ISSNs: 0264-4401

Abstract

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.