Přístupnostní navigace
E-application
Search Search Close
Publication detail
MRÁZEK, V.
Original Title
Optimization of BDD-based Approximation Error Metrics Calculations
Type
conference paper
Language
English
Original Abstract
Software methods introduced for automated design of approximate implementations of arithmetic circuits rely on fast and accurate evaluation of approximate candidate implementations. To accelerate the evaluation of circuit error, we propose four novel algorithms for the exact worst-case and mean absolute error analysis based on Binary Decision Diagrams. As these algorithms do not compute any absolute values in the characteristic function, which basically compares a candidate approximate circuit with a golden circuit, the error evaluation is significantly faster than the standard BDD-based error analysis. On average, the proposed algorithms are three times faster (in some cases, 30 times faster) than the baseline for 8- to 32-bit approximate adders. These results were obtained from more than 49 thousand runs with different configurations of the method. The proposed error evaluation algorithms are available as an open-source software https://github.com/ehw-fit/bdd-evaluation.
Keywords
approximate computing, error evaluation, relaxed equivalence checking
Authors
Released
8. 7. 2022
Publisher
Institute of Electrical and Electronics Engineers
Location
Paphos
ISBN
978-1-6654-6605-9
Book
IEEE Computer Society Annual Symposium on VLSI (ISVLSI '22)
Pages from
86
Pages to
91
Pages count
6
BibTex
@inproceedings{BUT177787, author="Vojtěch {Mrázek}", title="Optimization of BDD-based Approximation Error Metrics Calculations", booktitle="IEEE Computer Society Annual Symposium on VLSI (ISVLSI '22)", year="2022", pages="86--91", publisher="Institute of Electrical and Electronics Engineers", address="Paphos", doi="10.1109/ISVLSI54635.2022.00028", isbn="978-1-6654-6605-9" }