ROMJIST is a publication of
Romanian Academy,
Section for Information Science and Technology
Editor – in – Chief:
Academician Dan Dascalu
Secretariate (office):
Adriana Apostol
Adress for correspondence: romjist@nano-link.net (after 1st of January, 2019)
Editing of the printed version: Mihaela Marian (Publishing House of the Romanian Academy, Bucharest)
Technical editor of the on-line version: Lucian Milea (University POLITEHNICA of Bucharest)
Sponsors: • National Institute for R & D in Microtechnologies
(IMT Bucharest), www.imt.ro• Association for Generic and Industrial Technologies (ASTEGI), www.astegi.ro
ROMJIST Volume 24, No. 84, 2021, pp. 99-116, Paper no. 682/2021
MIHAI-CORNELIU CRISTESCU
Machine Learning Techniques for Improving the Performance Metrics of Functional Verification
ABSTRACT: In this paper, it is explored how machine learning techniques help improve the performance metrics of functional verification. The article outlines a landscape of the current practice, underlines some of the most prominent solutions, compares different approaches, and locates other possible synergy points. In the end, a personal vision is expressed for future research directions.KEYWORDS: Read full text (pdf)