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https://cknowledge.io/event/repro-mlsys2020

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 lib   A Systematic Methodology for Analysis of Deep Learning Hardware and Software Platforms
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 lib   BPPSA: Scaling Back-propagation by Parallel Scan Algorithm
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 lib   Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
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 lib   Fine-Grained GPU Sharing Primitives for Deep Learning Applications
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 lib   MLPerf Training Benchmark
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 lib   Privacy-Preserving Bandits
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 lib   Understanding the Downstream Instability of Word Embeddings
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 lib   Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference
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Related research papers, code, artifacts and results
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http://doi.org/10.5281/zenodo.3610717
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https://ctuning.org/ae/submission_extra.html
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https://doi.org/10.5281/zenodo.3605368
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https://doi.org/10.5281/zenodo.3606893
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https://doi.org/10.5281/zenodo.3608401
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https://doi.org/10.5281/zenodo.3665668
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https://doi.org/10.5281/zenodo.3685952
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https://doi.org/10.5281/zenodo.3687120
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https://github.com/Emma926/paradnn
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https://github.com/HazyResearch/anchor-stability
 1 
https://github.com/SymbioticLab/Salus
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https://github.com/UofT-EcoSystem/BPPSA-open
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https://github.com/mlperf/training_results_v0.5
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https://github.com/mmalekzadeh/privacy-preserving-bandits
 1 
https://github.com/parasj/checkmate/tree/mlsys20_artifact
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https://github.com/stanford-futuredata/Willump
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https://mlsys.org/Conferences/2020
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https://proceedings.mlsys.org/book/289.pdf
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https://proceedings.mlsys.org/book/294.pdf
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https://proceedings.mlsys.org/book/297.pdf
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https://proceedings.mlsys.org/book/305.pdf
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https://proceedings.mlsys.org/book/309.pdf
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https://proceedings.mlsys.org/book/310.pdf
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https://proceedings.mlsys.org/book/317.pdf
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https://proceedings.mlsys.org/book/320.pdf
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https://proceedings.mlsys.org/static/paper_files/mlsys/2020/104-Paper.pdf
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https://proceedings.mlsys.org/static/paper_files/mlsys/2020/12-Paper.pdf
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https://proceedings.mlsys.org/static/paper_files/mlsys/2020/134-Paper.pdf
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https://proceedings.mlsys.org/static/paper_files/mlsys/2020/136-Paper.pdf
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https://proceedings.mlsys.org/static/paper_files/mlsys/2020/177-Paper.pdf
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https://proceedings.mlsys.org/static/paper_files/mlsys/2020/196-Paper.pdf
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https://proceedings.mlsys.org/static/paper_files/mlsys/2020/44-Paper.pdf
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https://proceedings.mlsys.org/static/paper_files/mlsys/2020/76-Paper.pdf
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https://zenodo.org/badge/latestdoi/155600356
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https://zenodo.org/record/3606893
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https://zenodo.org/record/3608401
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https://zenodo.org/record/3610717
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https://zenodo.org/record/3661864
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https://zenodo.org/record/3677437
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https://zenodo.org/record/3685952
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https://zenodo.org/record/3687193
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