Search Results for author: Li-Shiuan Peh

Found 2 papers, 1 papers with code

NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator

no code implementations7 May 2024 Mohit Upadhyay, Rohan Juneja, Weng-Fai Wong, Li-Shiuan Peh

Attention mechanisms are becoming increasingly popular, being used in neural network models in multiple domains such as natural language processing (NLP) and vision applications, especially at the edge.

Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

1 code implementation25 Nov 2019 Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh

We show that conventional artificial neural networks (ANN) such as multilayer perceptron, convolutional neural networks, as well as the latest residual neural networks can be mapped successfully onto Shenjing, realizing ANNs with SNN's energy efficiency.

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