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- W4240146482 abstract "Recent integrated CPU-GPU processors like Intel's Broadwell and AMD's Kaveri support hardware CPU-GPU shared virtual memory, atomic operations, and memory coherency. This enables fine-grained CPU-GPU work-stealing, but architectural differences between the CPU and GPU hurt the performance of traditionally-implemented work-stealing on such processors. These architectural differences include different clock frequencies, atomic operation costs, and cache and shared memory latencies. This paper describes a preliminary implementation of our work-stealing scheduler, Libra, which includes techniques to deal with these architectural differences in integrated CPU-GPU processors. Libra's affinity-aware techniques achieve significant performance gains over classically-implemented work-stealing. We show preliminary results using a diverse set of nine regular and irregular workloads running on an Intel Broadwell Core-M processor. Libra currently achieves up to a 2× performance improvement over classical work-stealing, with a 20% average improvement." @default.
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- W4240146482 date "2016-02-27" @default.
- W4240146482 modified "2023-09-24" @default.
- W4240146482 title "Affinity-aware work-stealing for integrated CPU-GPU processors" @default.
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- W4240146482 doi "https://doi.org/10.1145/3016078.2851194" @default.
- W4240146482 hasPublicationYear "2016" @default.
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