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NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions.

, , , and . ACM Great Lakes Symposium on VLSI, page 730-735. ACM, (2024)

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Energy-efficient, low-latency realization of neural networks through boolean logic minimization., , and . ASP-DAC, page 274-279. ACM, (2019)Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis., , , and . CoRR, (2022)SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning., , , and . ICCAD, page 89:1-89:9. IEEE, (2020)Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks., , , , and . DAC, page 1-6. IEEE, (2023)Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation., , , and . DATE, page 1-6. IEEE, (2024)Low-Precision Mixed-Computation Models for Inference on Edge., , , and . IEEE Trans. Very Large Scale Integr. Syst., 32 (8): 1414-1422 (August 2024)Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines., , and . CoRR, (2019)ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization., , , and . DATE, page 1038-1043. IEEE, (2021)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)