Automated Design of Parallel Programs for Heterogeneous Platforms Using Algebra-Algorithmic Tools

A technology that allows extending GPU capabilities to deal with data volumes that outfit internal GPU's memory capacity is proposed. It involves loop tiling and data serialization and can be applied to utilize clusters consisting of several GPUs. Applicability criterion is specified and a semi-automatic proof-of-concept software tool is implemented. The experiment to demonstrate the feasibility of the proposed technology is described.

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Loop Parallelization Automation for Graphics Processing Units

Doroshenko¹,

Beketov²,

Yatsenko³

2020

Information, Computing and Intelligent Systems

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Automated Design of Parallel Programs for Heterogeneous Platforms Using Algebra-Algorithmic Tools

Cited by 1 publication

References 14 publications

Loop Parallelization Automation for Graphics Processing Units

Loop Parallelization Automation for Graphics Processing Units

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