ENOS: Energy-Aware Network Operator Search in Deep Neural Networks

Author:

Nasrin Shamma1ORCID,Shylendra Ahish1ORCID,Darabi Nastaran1,Tulabandhula Theja2ORCID,Gomes Wilfred3,Chakrabarty Ankush4ORCID,Trivedi Amit Ranjan1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA

2. Department of Information and Decision Sciences, University of Illinois at Chicago, Chicago, IL, USA

3. Intel Corporation, Hillsboro, OR, USA

4. Mitsubishi Electric Research Laboratories, Cambridge, MA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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4. COMPAC: Compressed Time-Domain, Pooling-Aware Convolution CNN Engine With Reduced Data Movement for Energy-Efficient AI Computing

5. A 65 nm computing-in-memory-based CNN processor with 2.9-to-35.8TOPS/W system energy efficiency using dynamic-sparsity performance-scaling architecture and energy-efficient inter/intra-macro data reuse;yue;IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers,2020

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