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AutoFDO: automatic feedback-directed optimization for warehouse-scale applications.

, , и . CGO, стр. 12-23. ACM, (2016)

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Chen Chen

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Chen-Loung Chen

 

Другие публикации лиц с тем же именем

Image Classification at Supercomputer Scale., , , , и . CoRR, (2018)Exploring the limits of Concurrency in ML Training on Google TPUs., , , , , , , , , и 9 other автор(ы). CoRR, (2020)Exploring the Limits of Concurrency in ML Training on Google TPUS., , , , , , и . MLSys, mlsys.org, (2021)GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding., , , , , , , , и . ICLR, OpenReview.net, (2021)GSPMD: General and Scalable Parallelization for ML Computation Graphs., , , , , , , , , и 6 other автор(ы). CoRR, (2021)GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism., , , , , , и . CoRR, (2018)Tree partition based parallel frequent pattern mining on shared memory systems., , , , , и . IPDPS, IEEE, (2006)AutoFDO: automatic feedback-directed optimization for warehouse-scale applications., , и . CGO, стр. 12-23. ACM, (2016)Taming hardware event samples for FDO compilation., , , , , , , и . CGO, стр. 42-52. ACM, (2010)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling, , , , , , , , , и 81 other автор(ы). (2019)cite arxiv:1902.08295.