Modern Parallel and Distributed Python: A Quick Tutorial on Ray

Robert Nishihara blog, Distributed Systems, Open Source, Systems, Uncategorized 0 Comments

Ray is an open source project for parallel and distributed Python. This article was originally posted here. Parallel and distributed computing are a staple of modern applications. We need to leverage multiple cores or multiple machines to speed up applications or to run them at a large scale. The infrastructure for crawling the web and responding to search queries are not single-threaded programs running on someone’s laptop but rather collections of services that communicate and interact with one another. This post will describe how to use Ray to easily build applications that can scale from your laptop to a large cluster. Why Ray? Many tutorials explain how to use Python’s multiprocessing module. Unfortunately the multiprocessing module is severely limited in …