Towards Optimal Matrix Partitioning for Data Parallel Computing on a Hybrid Heterogeneous Server

Optimal partitioning of a square computational domain over several heterogeneous processors, balancing the load of the processors and minimizing the inter-processor communication cost, is crucial for data parallel dense linear algebra and other applications having similar communication pattern on mo...

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Hlavní autoři:	Tania Malik, Alexey Lastovetsky
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2021-01-01
Edice:	IEEE Access
Témata:	Data partitioning communication optimization non-rectangular partitioning matrix multiplication heterogeneous computing performance model
On-line přístup:	https://ieeexplore.ieee.org/document/9328411/
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