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NPBench: a benchmarking suite for high-performance NumPy., , , и . ICS, стр. 63-74. ACM, (2021)Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication., , , , , , , , , и 2 other автор(ы). PPoPP, стр. 404-416. ACM, (2024)High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations., , , , , , , , , и 8 other автор(ы). SC, стр. 66:1-66:16. ACM, (2023)Arrow Matrix Decompositions., , , , , , , , , и 1 other автор(ы). (апреля 2023)Fast Arbitrary Precision Floating Point on FPGA., , , , и . FCCM, стр. 1-9. IEEE, (2022)A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning., , , , , и . IPDPS, стр. 66-77. IEEE, (2019)Productivity, portability, performance: data-centric Python., , , , , , , и . SC, стр. 95. ACM, (2021)FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs., , , , , и . SC, стр. 88:1-88:15. ACM, (2023)Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs., , , , , , , и . SPAA, стр. 328-339. ACM, (2021)A Data-Centric Optimization Workflow for the Python Language.. ETH Zurich, Zürich, Switzerland, (2022)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/586638).