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Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis

, and . (2018)cite arxiv:1802.09941.

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Spline-based parallel nonlinear optimization of function sequences., , and . J. Parallel Distributed Comput., (2016)Adaptive Work-Efficient Connected Components on the GPU., , , , and . CoRR, (2016)μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching., , , and . CoRR, (2018)Performance Embeddings: A Similarity-based Approach to Automatic Performance Optimization., , , , and . CoRR, (2023)Lifting C semantics for dataflow optimization., , , , , , and . ICS, page 17:1-17:13. ACM, (2022)Productive Performance Engineering for Weather and Climate Modeling with Python., , , , , , , , , and 4 other author(s). SC, page 73:1-73:14. IEEE, (2022)ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2244-2253. PMLR, (2021)Substream-Centric Maximum Matchings on FPGA., , , , and . FPGA, page 152-161. ACM, (2019)A global scheduling framework for virtualization environments., , and . IPDPS, page 1-8. IEEE, (2009)On the parallel I/O optimality of linear algebra kernels: near-optimal LU factorization., , , , , and . PPoPP, page 463-464. ACM, (2021)