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A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

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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.vldb.org/pvldb/vol12/p2022-chattopadhyay.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/