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Methods and infrastructure in the era of accelerator-centric architectures.

, , , , and . MWSCAS, page 902-905. IEEE, (2017)

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Assisting High-Level Synthesis Improve SpMV Benchmark Through Dynamic Dependence Analysis., , , , and . IEEE Trans. Circuits Syst. II Express Briefs, 65-II (10): 1440-1444 (2018)Hardware Acceleration., and . IEEE Micro, 38 (6): 6-7 (2018)Timeloop: A Systematic Approach to DNN Accelerator Evaluation., , , , , , , , , and . ISPASS, page 304-315. IEEE, (2019)Full Stack Optimization of Transformer Inference: a Survey., , , , , , , , , and 2 other author(s). CoRR, (2023)DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators., , , , and . MICRO, page 209-224. ACM, (2023)NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning., , , , , and . CoRR, (2019)Guest Editorial Introduction to the Special Issue on the 2022 IEEE International Solid-State Circuits Conference (ISSCC)., , , , and . IEEE J. Solid State Circuits, 58 (1): 3-7 (2023)Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs., , , , , , , , , and 7 other author(s). IEEE Micro, 40 (4): 10-21 (2020)Code Transpilation for Hardware Accelerators., , , , , and . CoRR, (2023)Methods and infrastructure in the era of accelerator-centric architectures., , , , and . MWSCAS, page 902-905. IEEE, (2017)