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2017
Proceedings of the General Purpose GPUs on - GPGPU-10
Computer systems are increasingly heterogeneous with nodes consisting of CPUs and GPU accelerators. As such systems become mainstream, they move away from specialized highperformance single application platforms to a more general setting with multiple, concurrent, application jobs. Determining how jobs should be dynamically best scheduled to heterogeneous devices is non-trivial. In certain cases, performance is maximized if jobs are allocated to a single device, in others, sharing is
doi:10.1145/3038228.3038235
dblp:conf/ppopp/WenO17
fatcat:sdz7a54435hjjcgmqv4qetbplm