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BPNet: Branch-pruned Conditional Neural Network for Systematic Time-accuracy Tradeoff., , and . DAC, page 1-6. IEEE, (2020)BPNet: Branch-pruned conditional neural network for systematic time-accuracy tradeoff in DNN inference: work-in-progress., and . CODES+ISSS, page 2:1-2:2. ACM, (2019)Minimizing GPU Kernel Launch Overhead in Deep Learning Inference on Mobile GPUs., , and . HotMobile, page 57-63. ACM, (2021)Real-time integrated face detection and recognition on embedded GPGPUs., , , and . ESTIMedia, page 98-107. IEEE, (2014)Embedded software generation from system level specification for multi-tasking embedded systems., , , and . ASP-DAC, page 145-150. ACM Press, (2005)Versapipe: a versatile programming framework for pipelined computing on GPU., , , , , and . MICRO, page 587-599. ACM, (2017)A timed HW/SW coemulation technique for fast yet accurate system verification., , and . ICSAMOS, page 74-81. IEEE, (2009)NNsim: fast performance estimation based on sampled simulation of GPGPU kernels for neural networks., , , and . DAC, page 176:1-176:6. ACM, (2018)Hardware-in-the-loop Simulation for CPU/GPU Heterogeneous Platforms., , , , and . DAC, page 138:1-138:6. ACM, (2014)Active disk meets flash: a case for intelligent SSDs., , , , , and . ICS, page 91-102. ACM, (2013)