Squeezing Performance Out Of Arkouda

2020 IEEE 34TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2020)（2020）

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摘要

This talk will highlight optimizations made to Arkouda, a Python package backed by Chapel that provides a key subset of the popular NumPy and Pandas interfaces at HPC scales. Optimizations such as aggregating communication have significantly improved Arkouda's performance across a wide range of architectures. Key optimizations and benchmark results will be shown on architectures including a single node server, Ethernet and InfiniBand clusters, and a 512 node Cray supercomputer.

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关键词

Pandas interface,NumPy interface,512-node Cray supercomputer,InfiniBand clusters,Ethernet,Arkouda performance improvement,aggregating communication,HPC scales,Python package,single node server

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