压缩Arkouda的性能

2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2020-05-01 DOI:10.1109/IPDPSW50202.2020.00119

Elliot Ronaghan

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引用次数: 0

摘要

本演讲将重点介绍对Arkouda的优化，Arkouda是一个由Chapel支持的Python包，它提供了HPC规模上流行的NumPy和Pandas接口的关键子集。诸如聚合通信之类的优化大大提高了Arkouda在各种架构中的性能。关键优化和基准测试结果将在架构上显示，包括单节点服务器、以太网和InfiniBand集群以及512节点的Cray超级计算机。

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Squeezing performance out of Arkouda

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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2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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