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EASpiNN: Effective Automated Spiking Neural Network Evaluation on FPGA., , and . FCCM, page 242. IEEE, (2020)Interconnect Aware Test Power Reduction., , and . J. Low Power Electron., 8 (4): 516-525 (2012)Guided multilevel approximation of less significant bits for power reduction., and . VDAT, page 1-6. IEEE, (2016)Split-Knit Convolution: Enabling Dense Evaluation of Transpose and Dilated Convolutions on GPUs., , , and . HIPC, page 1-10. IEEE, (2022)Efficient Implementation of IEEE Double Precision Floating-Point Multiplier on FPGA., and . ICIIS, page 1-4. IEEE, (2008)Layerwise Disaggregated Evaluation of Spiking Neural Networks., , , and . ISLPED, page 25:1-25:6. ACM, (2022)Optimizing power-accuracy trade-off in approximate adders., , and . DATE, page 1488-1491. IEEE, (2018)Speeding up computation of the max/min of a set of gaussians for statistical timing analysis and optimization., , , , and . DAC, page 182:1-182:7. ACM, (2013)Designing a passive star optical network for the India-based Neutrino Observatory., , and . NCC, page 1-6. IEEE, (2015)A Simulation-Based Metric to Guide Glitch Power Reduction in Digital Circuits., , and . IEEE Trans. Very Large Scale Integr. Syst., 27 (2): 376-386 (2019)