On Linear Learning with Manycore Processors

arXiv: Performance, pp. 184-194, 2019.

Cited by: 1|Views6
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Abstract:

A new generation of manycore processors is on the rise that offers dozens and more cores on a chip and, in a sense, fuses host processor and accelerator. In this paper we target the efficient training of generalized linear models on these machines. We propose a novel approach for achieving parallelism which we call Heterogeneous Tasks on ...More

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