Paul N. Whatmough

Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

Brandon Reagen, Paul N. Whatmough, Robert Adolf et al. · 2016 · 238 citations

Engineering, Machine Learning, Hardware Algorithm +16

SCALE-Sim: Systolic CNN Accelerator Simulator

Ananda Samajdar, Yuhao Zhu, Paul N. Whatmough et al. · arXiv (Cornell University) · 2018 · 194 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16

A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim

Ananda Samajdar, Jan Moritz Joseph, Yuhao Zhu et al. · 2020 · 194 citations

Engineering, Machine Learning, Advanced Computing +20

TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids

Igor Fedorov, Marko Stamenovic, Carl Jensen et al. · 2020 · 110 citations · Full text

Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference

Zhi-Gang Liu, Paul N. Whatmough, Matthew Mattina · IEEE Computer Architecture Letters · 2020 · 101 citations

Convolutional Neural Network, Engineering, Machine Learning +17