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Scalable stochastic-computing accelerator for convolutional neural networks.

, , , and . ASP-DAC, page 696-701. IEEE, (2017)

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Efficient High-Level Synthesis for Nested Loops of Nonrectangular Iteration Spaces., , and . IEEE Trans. Very Large Scale Integr. Syst., 24 (8): 2799-2802 (2016)A New Stochastic Computing Multiplier with Application to Deep Convolutional Neural Networks., and . DAC, page 29:1-29:6. ACM, (2017)Sign-magnitude SC: getting 10X accuracy for free in stochastic computing for deep neural networks., , , and . DAC, page 158:1-158:6. ACM, (2018)Mapping Imperfect Loops to Coarse-Grained Reconfigurable Architectures., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (7): 1092-1104 (2016)XOMA: exclusive on-chip memory architecture for energy-efficient deep learning acceleration., , and . ASP-DAC, page 651-656. ACM, (2019)FPGA implementation of convolutional neural network based on stochastic computing., , , , , and . FPT, page 287-290. IEEE, (2017)Scalable stochastic-computing accelerator for convolutional neural networks., , , and . ASP-DAC, page 696-701. IEEE, (2017)DPS: dynamic precision scaling for stochastic computing-based deep neural networks., , and . DAC, page 13:1-13:6. ACM, (2018)Log-quantized stochastic computing for memory and computation efficient DNNs., and . ASP-DAC, page 280-285. ACM, (2019)Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing., , , and . DAC, page 7. ACM, (2019)