Benchmarking multi-GPU communication using the shallow water equations. (2015)

• Record Type: Journal Article
• Authors: Playne, Daniel P.; Hawick, Kenneth A.
• Is Part Of: International journal of big data intelligence. Volume 2:Number 3(2015)
• Page Start: 157
• Page End: 167
• Publication Date: 2015
• Subjects: shallow water equations -- parallel computing -- CUDA -- multi-GPU -- graphical processing units -- GPUs -- computational fluid dynamics -- CFD -- simulation; Big data -- Periodicals; 005.705
• Languages: English
• ISSNs: 2053-1389

Abstract

The shallow water model equations provide a simple yet realistic benchmark problem in computational fluid dynamics (CFD) that can be implemented on a variety of computational platforms. Graphical processing units (GPUs) can be used to accelerate such applications on a single device using a data parallel decompositional scheme or with multiple devices using a domain decompositional approach. A shallow water equation simulation is implemented on a range of modern GPU architectures and multi-GPU systems. The typical performance of these systems using the two main device-device communication methods is reported on for single- and double-precision calculations.