Title
Automated High-Level Generation of Low-Power Approximate Computing Circuits
Abstract
Numerous application domains (e.g., signal and image processing, computer graphics, computer vision, and machine learning) are inherently error tolerant, which can be exploited to produce approximate ASIC implementations with low power consumption at the expense of negligible or small reductions in application quality. A major challenge is the need for approximate and high-level design generation ...
Year
DOI
Venue
2019
10.1109/TETC.2016.2598283
IEEE Transactions on Emerging Topics in Computing
Keywords
Field
DocType
Logic gates,Adders,Standards,Approximation algorithms,Signal processing algorithms,Algorithm design and analysis,Power demand
Algorithm design,Abacus (architecture),Computer science,Abstract syntax tree,Real-time computing,Theoretical computer science,Application-specific integrated circuit,Data type,Design space exploration,Computer engineering,Computer graphics,Scalability
Journal
Volume
Issue
ISSN
7
1
2168-6750
Citations 
PageRank 
References 
5
0.44
0
Authors
5
Name
Order
Citations
PageRank
Kumud Nepal1532.76
Soheil Hashemi2717.74
Hokchhay Tann3253.66
R. Iris Bahar487884.31
Sherief Reda5128392.25