Dynamic Verification Framework of Approximate Computing Circuits using Quality-Aware Coverage-Based Grey-Box Fuzzing
Author:
Affiliation:
1. Graduate School of Informatics, Nagoya University
2. School of Informatics, Nagoya University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E106.A/3/E106.A_2022VLP0002/_pdf
Reference31 articles.
1. [1] J. Han and M. Orshansky, “Approximate computing: An emerging paradigm for energy-efficient design,” Proc. ETS, pp.1-6, 2013. 10.1109/ets.2013.6569370
2. [2] V.K. Chippa, S.T. Chakradhar, K. Roy, and A. Raghunathan, “Analysis and characterization of inherent application resilience for approximate computing,” Proc. DAC, pp.1-9, 2013. 10.1145/2463209.2488873
3. [3] Q. Xu, T. Mytkowicz, and N.S. Kim, “Approximate computing: A survey,” IEEE Des. Test, vol.33, no.1, pp.8-22, 2016. 10.1109/mdat.2015.2505723
4. [4] H. Esmaeilzadeh, A. Sampson, L. Ceze, and D. Burger, “Architecture support for disciplined approximate programming,” Proc. ASPLOS, pp.301-312, 2012. 10.1145/2150976.2151008
5. [5] R. Hegde and N.R. Shanbhag, “Soft digital signal processing,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol.9, no.6, pp.813-823, 2001. 10.1109/92.974895
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