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Quantifying the Overheads of Modular Multiplication., , , , , and . ISLPED, page 1-6. IEEE, (2023)A Fully Integrated Battery-Powered System-on-Chip in 40-nm CMOS for Closed-Loop Control of Insect-Scale Pico-Aerial Vehicle., , , , , , , , , and . IEEE J. Solid State Circuits, 52 (9): 2374-2387 (2017)Aladdin: A pre-RTL, power-performance accelerator simulator enabling large design space exploration of customized architectures., , , and . ISCA, page 97-108. IEEE Computer Society, (2014)DeepReShape: Redesigning Neural Networks for Efficient Private Inference., and . Trans. Mach. Learn. Res., (2024)RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing., , , , , , , , , and 11 other author(s). ISCA, page 790-803. IEEE, (2020)A case for efficient accelerator design space exploration via Bayesian optimization., , , , , , and . ISLPED, page 1-6. IEEE, (2017)Sphynx: ReLU-Efficient Network Design for Private Inference., , , , and . CoRR, (2021)Characterizing and Optimizing End-to-End Systems for Private Inference., , , , and . CoRR, (2022)Towards Fast and Scalable Private Inference., , , , and . CF, page 322-328. ACM, (2023)DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference., , , , , , , , and . ISCA, page 982-995. IEEE, (2020)