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Productive Performance Engineering for Weather and Climate Modeling with Python.

, , , , , , , , , , , , , и . SC, стр. 73:1-73:14. IEEE, (2022)

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