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BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy.

, , , и . MLSys, mlsys.org, (2019)

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Ulrich Finkler

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Improving Efficiency in Large-Scale Decentralized Distributed Training., , , , , , , , , и 2 other автор(ы). ICASSP, стр. 3022-3026. IEEE, (2020)Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks., , , , , , , , , и 4 other автор(ы). CoRR, (2021)Large Scale Neural Architecture Search with Polyharmonic Splines., , , , , , , , , и 1 other автор(ы). CoRR, (2020)Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition., , , , , и . CoRR, (2020)Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies., , , , , и . IEEE Signal Process. Mag., 37 (3): 39-49 (2020)NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search., , , , , , , , , и 1 other автор(ы). AAAI, стр. 9294-9302. AAAI Press, (2021)CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks., , , , , , , , , и 7 other автор(ы). NeurIPS Datasets and Benchmarks, (2021)Map Generation from Large Scale Incomplete and Inaccurate Data Labels., , , , , , и . KDD, стр. 2514-2522. ACM, (2020)To Thread or Not to Thread., и . IEEE Des. Test, 30 (1): 17-25 (2013)BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy., , , , и . IBM J. Res. Dev., 63 (6): 1:1-1:11 (2019)