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Runtime identification of microprocessor energy saving opportunities., , , and . ISLPED, page 275-280. ACM, (2005)BUQS: Battery- and user-aware QoS scaling for interactive mobile devices., , , , , and . ASP-DAC, page 64-69. IEEE, (2018)Tensor Slices: FPGA Building Blocks For The Deep Learning Era., , , , and . ACM Trans. Reconfigurable Technol. Syst., 15 (4): 46:1-46:34 (2022)PowerTrain: A learning-based calibration of McPAT power models., , , , , and . ISLPED, page 189-194. IEEE, (2015)Accurate phase-level cross-platform power and performance estimation., , and . DAC, page 4:1-4:6. ACM, (2016)Analysis of dynamic power management on multi-core processors., and . ICS, page 327-338. ACM, (2008)Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization., , , , and . CoRR, (2021)PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation., , , , and . CoRR, (2023)Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks., , , , , , , , , and . ESANN, (2022)CoMeFa: Compute-in-Memory Blocks for FPGAs., , , , , , and . FCCM, page 1-9. IEEE, (2022)