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20162023
most citedPULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors

136 citations · 925 across the 40 of their papers we have counts for

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Showing 2018Show all

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eess.SP2018

PULP-HD: Accelerating Brain-Inspired High-Dimensional Computing on a Parallel Ultra-Low Power Platform

Fabio Montagna, Abbas Rahimi, Simone Benatti +2

Computing with high-dimensional (HD) vectors, also referred to as , is a brain-inspired alternative to computing with scalars. Key properties of HD computing…

cs.DC2018

Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine

Renzo Andri, Lukas Cavigelli, Davide Rossi +1

Deep neural networks have achieved impressive results in computer vision and machine learning. Unfortunately, state-of-the-art networks are extremely compute and memory intensive w…