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20172024
most citedUnsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks

8 citations · 30 across the 6 of their papers we have counts for

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cs.AR2024★ 4 cited

tubGEMM: Energy-Efficient and Sparsity-Effective Temporal-Unary-Binary Based Matrix Multiply Unit

Prabhu Vellaisamy, Harideep Nair, Joseph Finn +7

General Matrix Multiplication (GEMM) is a ubiquitous compute kernel in deep learning (DL). To support energy-efficient edge-native processing, new GEMM hardware units have been pro…