articleMay 26, 2015GREEN OA
ShiDianNao
Institute of Computing Technology · École Polytechnique Fédérale de Lausanne · +2 more institutions
Indexed incrossref
Abstract
In recent years, neural network accelerators have been shown to achieve both high energy efficiency and high performance for a broad application scope within the important category of recognition and mining applications.
Citation impact
954
total citations
- FWCI
- 48.85
- Percentile
- 100%
- References
- 67
Citations per year
Authors
9- ZDZidong DuCorresponding
Institute of Computing Technology
- RFRobert Fasthuber
École Polytechnique Fédérale de Lausanne, Laboratoire d'Informatique Fondamentale de Lille
- TCTianshi Chen
Institute of Computing Technology
- PIPaolo Ienne
École Polytechnique Fédérale de Lausanne, Laboratoire d'Informatique Fondamentale de Lille
- LLLing Li
Institute of Computing Technology
Topics & keywords
Topics
Keywords
- Scope (computer science)
- Computer science
- Artificial neural network
- Efficient energy use
- Artificial intelligence
- Engineering
- Electrical engineering
- Programming language
UN Sustainable Development Goals
- Affordable and clean energy
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