184 citations · 288 across the 10 of their papers we have counts for
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cs.AR2021★ 72 cited
On the Accuracy of Analog Neural Network Inference Accelerators
T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett +5
Specialized accelerators have recently garnered attention as a method to reduce the power consumption of neural network inference. A promising category of accelerators utilizes non…
cs.AR2017★ 184 cited
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator
Matthew J. Marinella, Sapan Agarwal, Alexander Hsia +6
Neural networks are an increasingly attractive algorithm for natural language processing and pattern recognition. Deep networks with >50M parameters are made possible by modern GPU…