MLCAD: A survey of research in machine learning for CAD keynote paper

M Rapp, H Amrouch, Y Lin, B Yu… - … on Computer-Aided …, 2021 - ieeexplore.ieee.org
Due to the increasing size of integrated circuits (ICs), their design and optimization phases
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …

Machine learning for FPGA electronic design automation

A Biscontini, E Popovici, A Temko - IEEE Access, 2024 - ieeexplore.ieee.org
In the last decades, field-programmable gate arrays (FPGAs) have become increasingly
important to the electronics industry, offering higher performance and lower power …

A survey and perspective on artificial intelligence for security-aware electronic design automation

D Koblah, R Acharya, D Capecci… - ACM Transactions on …, 2023 - dl.acm.org
Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly
used in several fields to improve performance and the level of automation. In recent years …

Adversarial perturbation attacks on ML-based CAD: A case study on CNN-based lithographic hotspot detection

K Liu, H Yang, Y Ma, B Tan, B Yu, EFY Young… - ACM Transactions on …, 2020 - dl.acm.org
There is substantial interest in the use of machine learning (ML)-based techniques
throughout the electronic computer-aided design (CAD) flow, particularly those based on …

Accurate cost estimation of memory systems utilizing machine learning and solutions from computer vision for design automation

L Servadei, E Mosca, E Zennaro… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Hardware/software co-designs are usually defined at high levels of abstractions at the
beginning of the design process in order to provide a variety of options on how to realize a …

Machine learning application for cell delay accuracy improvement at post-placement stage: A case study for combinational cells

Y Attaoui, M Chentouf, ZEAA Ismaili, A El Mourabit - Integration, 2023 - Elsevier
In the early VLSI design stages, as most interest is given to timing closure, various
techniques are deployed to satisfy the timing constraints and close design timing …

Machine Learning-based feasibility estimation of digital blocks in BCD technology

G Faraone, F Daghero, E Serianni, D Licastro… - arXiv preprint arXiv …, 2024 - arxiv.org
Analog-on-Top Mixed Signal (AMS) Integrated Circuit (IC) design is a time-consuming
process predominantly carried out by hand. Within this flow, usually, some area is reserved …

Accurate cost estimation of memory systems inspired by machine learning for computer vision

L Servadei, E Zennaro… - … , Automation & Test …, 2019 - ieeexplore.ieee.org
Hardware/software co-designs are usually defined at high levels of abstractions at the
beginning of the design process in order to allow plenty of options how to eventually realize …

Training data poisoning in ml-cad: Backdooring dl-based lithographic hotspot detectors

K Liu, B Tan, R Karri, S Garg - IEEE Transactions on Computer …, 2020 - ieeexplore.ieee.org
Recent efforts to enhance computer-aided design (CAD) flows have seen the proliferation of
machine learning (ML)-based techniques. However, despite achieving state-of-the-art …

Automatic Generator Methodology for Safe Embedded Software

M Werner - 2023 - mediatum.ub.tum.de
The growing complexity of embedded systems requires new strategies to meet the
challenges of embedded system development. The evolution of programming languages …