Squeezing performance out of Arkouda

Abstract

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.