SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks

Deep Neural Networks (DNNs) have emerged as the method of choice for solving a wide range of machine learning tasks. The enormous computational demand posed by DNNs is a key challenge for computing system designers and has most commonly been addressed through the design of DNN accelerators. However,...

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Veröffentlicht in:	IEEE transactions on computers 2019-06, Vol.68 (6), p.912-925
Hauptverfasser:	Sen, Sanchari, Jain, Shubham, Venkataramani, Swagath, Raghunathan, Anand
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Deep learning deep neural networks general purpose processors Machine learning Neural networks Pipelines Registers sparsity Task analysis Training
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