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Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing
2013
Computers
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
doi:10.3390/computers2040176
fatcat:atudxjavxrb6vijetebex2sbju