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Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition.

, , , , , , , , и . PACT, стр. 291-303. ACM, (2022)

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Revealing Compiler Heuristics Through Automated Discovery and Optimization., , , , , и . CGO, стр. 55-66. IEEE, (2024)Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition., , , , , , , , и . PACT, стр. 291-303. ACM, (2022)Learning Space Partitions for Path Planning., , , , , , , , и . NeurIPS, стр. 378-391. (2021)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)Compiler generated feedback for Large Language Models., , , и . CoRR, (2024)Priority Sampling of Large Language Models for Compilers., , , , , и . EuroMLSys@EuroSys, стр. 91-97. ACM, (2024)BenchPress: A Deep Active Benchmark Generator., , , , , , и . PACT, стр. 505-516. ACM, (2022)SLaDe: A Portable Small Language Model Decompiler for Optimized Assembler., , , и . CoRR, (2023)ProGraML: Graph-based Deep Learning for Program Optimization and Analysis., , , , и . CoRR, (2020)Computational Approaches to the Pragmatics Problem., и . Lang. Linguistics Compass, 8 (4): 133-143 (2014)