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

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Provided by: MDPI AG
Topic: Hardware
Format: PDF
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, the authors propose to efficiently share the GPU under SPMD and formally define a series of GPU sharing scenarios.
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