Awesome-System-for-Machine-Learning
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A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Hi, maybe the hyperlink about Computer Architecture: A Quantitative Approach [Must read] not work now.
https://arxiv.org/pdf/1911.02549.pdf
https://dawn.cs.stanford.edu/2019/06/19/willump/ https://arxiv.org/pdf/1906.01974.pdf
Training Deep Neural Networks with Large Outputs on a CPU faster than a V100-GPU [None]() NeMo: A Toolkit for Building AI Applications Using Neural Modules https://arxiv.org/pdf/1909.09577.pdf https://github.com/NVIDIA/NeMo 5 Parallel Prism:...
https://www.usenix.org/system/files/nsdi19-gu.pdf https://github.com/SymbioticLab/Tiresias
http://www.csl.cornell.edu/~delimitrou/papers/2019.asplos.microservices.pdf
http://www.vldb.org/pvldb/vol12/p2022-chattopadhyay.pdf
https://jackkosaian.github.io/files/papers/sigcomm2019vantage.pdf
https://research.fb.com/wp-content/uploads/2017/12/hpca-2018-facebook.pdf?
https://www.microsoft.com/en-us/research/publication/software-engineering-for-machine-learning-a-case-study/