Toward Highly Available, Intelligent Cloud and ML Systems [Slide]
A curated list of awesome System Designing articles, videos and resources for distributed computing, AKA Big Data. [GitHub]
awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning [GitHub]
Opportunities and Challenges Of Machine Learning Accelerators In Production [Paper]
Ananthanarayanan, Rajagopal, et al. "
2019 {USENIX} Conference on Operational Machine Learning (OpML 19). 2019.
How (and How Not) to Write a Good Systems Paper [Advice]
Applied machine learning at Facebook: a datacenter infrastructure perspective [Paper]
Hazelwood, Kim, et al. (HPCA 2018)
Infrastructure for Usable Machine Learning: The Stanford DAWN Project
Bailis, Peter, Kunle Olukotun, Christopher Ré, and Matei Zaharia. (preprint 2017)
Hidden technical debt in machine learning systems [Paper]