Computers 2013, 2(4), 176-214; doi:10.3390/computers2040176
Article

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

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Received: 20 September 2013; in revised form: 23 October 2013 / Accepted: 31 October 2013 / Published: 19 November 2013
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The increasing incorporation of Graphics Processing Units (GPUs) as accelerators has been one of the forefront High Performance Computing (HPC) trends and provides unprecedented performance; however, the prevalent adoption of the Single-Program Multiple-Data (SPMD) programming model brings with it challenges of resource underutilization. In other words, under SPMD, every CPU needs GPU capability available to it. However, since CPUs generally outnumber GPUs, the asymmetric resource distribution gives rise to overall computing resource underutilization. In this paper, we propose to efficiently share the GPU under SPMD and formally define a series of GPU sharing scenarios. We provide performance-modeling analysis for each sharing scenario with accurate experimentation validation. With the modeling basis, we further conduct experimental studies to explore potential GPU sharing efficiency improvements from multiple perspectives. Both further theoretical and experimental GPU sharing performance analysis and results are presented. Our results not only demonstrate the significant performance gain for SPMD programs with the proposed efficient GPU sharing, but also the further improved sharing efficiency with the optimization techniques based on our accurate modeling.
Keywords: GPU; resource sharing; SPMD; performance modeling; high performance computing
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MDPI and ACS Style

Li, T.; Narayana, V.K.; El-Ghazawi, T. Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing. Computers 2013, 2, 176-214.

AMA Style

Li T, Narayana VK, El-Ghazawi T. Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing. Computers. 2013; 2(4):176-214.

Chicago/Turabian Style

Li, Teng; Narayana, Vikram K.; El-Ghazawi, Tarek. 2013. "Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing." Computers 2, no. 4: 176-214.

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