Collective Affinity Aware Computation Mapping

PACT '20: International Conference on Parallel Architectures and Compilation Techniques Virtual Event GA USA October, 2020(2020)

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摘要
This work defines the concept of collective affinity. It is claimed that collective affinity has more potential than single core-centric affinity, for data locality optimization in manycores. The reason is that collective affinity captures the potential benefits of transferring computations originally assigned to one core to other cores. Next, building upon the collective affinity concept and a cache content estimation strategy, it presents a computation-to-core mapping strategy, specifically tuned for exploiting near data computing by reducing distance-to-data.
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关键词
Optimizing Compilers, Near-Data Computing, Manycores
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