NDLI: Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA

Content Provider	IEEE Xplore Digital Library
Author	Castello, A. Pena, A.J. Mayo, R. Balaji, P. Quintana-Orti, E.S.
Copyright Year	2015
Description	Author affiliation: Argonne Nat. Lab., Argonne, IL, USA (Pena, A.J.; Balaji, P.) \|\| Univ. Jaume I de Castello, Castello de la Plana, Spain (Castello, A.; Mayo, R.; Quintana-Orti, E.S.)
Abstract	OpenACC is an application programming interface (API) that aims to unleash the power of heterogeneous systems composed of CPUs and accelerators such as graphic processing units (GPUs) or Intel Xeon Phi coprocessors. This directive-based programming model is intended to enable developers to accelerate their application's execution with much less effort. Coprocessors offer significant computing power but in many cases these devices remain largely underused because not all parts of applications match the accelerator architecture. Remote accelerator virtualization frameworks introduce a means to address this problem. In particular, the remote CUDA virtualization middleware rCUDA provides transparent remote access to any GPU installed in a cluster. Combining these two technologies, OpenACC and rCUDA, in a single scenario is naturally appealing. In this work we explore how the different OpenACC directives behave on top of a remote GPGPU virtualization technology in two different hardware configurations. Our experimental evaluation reveals favorable performance results when the two technologies are combined, showing low overhead and similar scaling factors when executing OpenACC-enabled directives.
Starting Page	92
Ending Page	95
File Size	467624
Page Count	4
File Format	PDF
ISBN	9781467365987
DOI	10.1109/CLUSTER.2015.23
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Virtualization Acceleration Programming Coprocessors Kernel rCUDA GPUs OpenACC remote virtualization
Content Type	Text
Resource Type	Article

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