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Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network., , , , , , и . ISCA, стр. 764-775. IEEE Computer Society, (2018)DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics., , , , , , , , и . CoRR, (2024)Accelerating String-key Learned Index Structures via Memoization-based Incremental Training., , , , , и . Proc. VLDB Endow., 17 (8): 1802-1815 (апреля 2024)Neural acceleration for GPU throughput processors., , , , и . MICRO, стр. 482-493. ACM, (2015)TABLA: A unified template-based framework for accelerating statistical machine learning., , , , , , и . HPCA, стр. 14-26. IEEE Computer Society, (2016)From high-level deep neural models to FPGAs., , , , , , , и . MICRO, стр. 17:1-17:12. IEEE Computer Society, (2016)Locality-aware dynamic VM reconfiguration on MapReduce clouds., , , , и . HPDC, стр. 27-36. ACM, (2012)Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning., , , , , и . CoRR, (2021)NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing., , , , , , , , и . ASPLOS (3), стр. 722-737. ACM, (2024)FlexJava: language support for safe and modular approximate programming., , , , и . ESEC/SIGSOFT FSE, стр. 745-757. ACM, (2015)