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Metrics for the evaluation of approximate sequential streaming circuits

Publikationstyp
Conference Paper
Date Issued
2021-09
Sprache
English
Author(s)
Plambeck, Swantje
Martino, Gianluca
Fey, Görschwin
Institut
Eingebettete Systeme E-13
TORE-URI
http://hdl.handle.net/11420/11984
Start Page
208
End Page
211
Citation
24th Euromicro Conference on Digital System Design (DSD 2021)
Contribution to Conference
24th Euromicro Conference on Digital System Design, DSD 2021
Publisher DOI
10.1109/DSD53832.2021.00041
Scopus ID
2-s2.0-85125795621
ISBN of container
978-166542703-6
The design of energy- and area-efficient systems is important for modern technology. One approach to increase these efficiencies is approximate computing. During the last years, efficient approximations for combinational hardware components, e.g., adders or multipliers, have been proposed. We focus on quality metrics for the evaluation of approximations in sequential circuits with streaming in- and outputs. We propose the usage of sequence distance metrics for analysis of the sequential behavior after approximation and compare their performance to other metrics like mean errors and accumulated errors. We present case studies on some exemplary circuits. The experimental results show that our sequential metrics provide additional information to common mean errors and for stochastic applications yield the best guidance in selecting approximate sequential circuits.
DDC Class
600: Technology
Funding(s)
I³-Programm
Helmholtz Graduate School for the Structure of Matter - Phase 1
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