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Low-Precision Mixed-Computation Models for Inference on Edge., , , and . CoRR, (2023)Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines., , and . CoRR, (2019)Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines., , and . ACM Trans. Design Autom. Electr. Syst., 25 (1): 11:1-11:21 (2020)Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis., , , and . ACM Trans. Reconfigurable Technol. Syst., 16 (2): 17:1-17:25 (June 2023)Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy., , and . CoRR, (2024)BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions., , , and . CoRR, (2023)ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization., , , and . DATE, page 1038-1043. IEEE, (2021)Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline., , and . ASP-DAC, page 532-537. ACM, (2019)Heuristics for Million-scale Two-level Logic Minimization., , and . ICCAD, page 1-7. IEEE, (2021)DNR: A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs., , , and . ASP-DAC, page 344-350. ACM, (2021)