Energy-efficient Hardware Acceleration
Energy-Efficient Hardware Acceleration is a hardware acceleration paradigm that leverages reconfigurable FPGA architectures to execute specialized computational tasks with minimal energy consumption per operation, distinguished by its co-optimization of circuit-level design, resource allocation, and workload-specific parallelism to achieve superior energy efficiency compared to general-purpose or fixed-function alternatives.
1.2K
Publications
58.6K
Citations
4K
Authors
735
Institutions
Publications per year
2017–2026
755
Parents
1.2K
Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan et al. · arXiv (Cornell University) · 2015 · 1.1K citations · Full text
HAQ: Hardware-Aware Automated Quantization With Mixed Precision
Kuan Wang, Zhijian Liu, Yujun Lin et al. · 2019 · 940 citations
Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan et al. · 2015 · 774 citations
1–5 of 1.2K
4K
20
h-index
18
h-index
15
h-index
14
h-index
14
h-index
1–5 of 4K
735
Tsinghua University
Beijing, China
27 h-index
203 publications
10.7K citations
University of California San Diego
San Diego, United States
21 h-index
106 publications
9.3K citations
ETH Zurich
Zurich, Switzerland
21 h-index
90 publications
6.5K citations
University of California, Los Angeles
Los Angeles, United States
20 h-index
93 publications
6.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
20 h-index
87 publications
4.2K citations
Georgia Institute of Technology
Atlanta, United States
19 h-index
70 publications
9.5K citations

University of Bologna
Bologna, Italy
19 h-index
68 publications
3.1K citations
Stanford University
Stanford, United States
18 h-index
159 publications
9.4K citations
1–8 of 735
27 publications · 4.7K citations
21
h-index
23 publications · 1.4K citations
19
h-index
23 publications · 1.1K citations
18
h-index
Repository · 29 publications · 1.9K citations
18
h-index
28 publications · 1.3K citations
18
h-index
1–5