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Towards Scalable Parallel Training of Deep Neural Networks., , , и . MLHPC@SC, стр. 5:1-5:9. ACM, (2017)A scalable method for parallelizing sampling-based motion planning algorithms., , , , , и . ICRA, стр. 2529-2536. IEEE, (2012)Graph-based clustering for detecting frequent patterns in event log data., , , и . CASE, стр. 972-977. IEEE, (2016)Communication Quantization for Data-Parallel Training of Deep Neural Networks., , , и . MLHPC@SC, стр. 1-8. IEEE Computer Society, (2016)Merlin: Enabling Machine Learning-Ready HPC Ensembles., , , , , , , , , и 11 other автор(ы). CoRR, (2019)Adaptive neighbor connection for PRMs: A natural fit for heterogeneous environments and parallelism., , , и . IROS, стр. 1249-1256. IEEE, (2013)Scalable Composition and Analysis Techniques for Massive Scientific Workflows., , , , , , , , , и 3 other автор(ы). e-Science, стр. 32-43. IEEE, (2022)Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks., , , , , и . CCGRID, стр. 386-395. IEEE, (2022)System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models., , , , , , , и . IPDPS (Workshops), стр. 1206-1208. IEEE, (2024)Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone., , , , , , , , , и 77 other автор(ы). CoRR, (2024)