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Machine learning for electronic design automation: A survey
With the down-scaling of CMOS technology, the design complexity of very large-scale
integrated is increasing. Although the application of machine learning (ML) techniques in …
integrated is increasing. Although the application of machine learning (ML) techniques in …
Towards machine learning-based fpga backend flow: Challenges and opportunities
Field-Programmable Gate Array (FPGA) is at the core of System on Chip (SoC) design
across various Industry 5.0 digital systems—healthcare devices, farming equipment …
across various Industry 5.0 digital systems—healthcare devices, farming equipment …
Design for manufacturing with emerging nanolithography
In this paper, we survey key design for manufacturing issues for extreme scaling with
emerging nanolithography technologies, including double/multiple patterning lithography …
emerging nanolithography technologies, including double/multiple patterning lithography …
A survey and perspective on artificial intelligence for security-aware electronic design automation
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 …
used in several fields to improve performance and the level of automation. In recent years …
EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation
In this paper we present EPIC, an efficient and effective predictor for IC manufacturing
hotspots in deep sub-wavelength lithography. EPIC proposes a unified framework to …
hotspots in deep sub-wavelength lithography. EPIC proposes a unified framework to …
Machine learning and pattern matching in physical design
Machine learning (ML) and pattern matching (PM) are powerful computer science
techniques which can derive knowledge from big data, and provide prediction and matching …
techniques which can derive knowledge from big data, and provide prediction and matching …
RegularRoute: An efficient detailed router applying regular routing patterns
In this paper, we propose RegularRoute, an efficient detailed router encouraging regular
routing patterns. RegularRoute is proposed for potentially better design rule satisfaction …
routing patterns. RegularRoute is proposed for potentially better design rule satisfaction …
Layout pattern-driven design rule evaluation
With the use of subwavelength photolithography, some layouts can have low printability and,
accordingly, low yield due to the existence of bad patterns even though they pass design …
accordingly, low yield due to the existence of bad patterns even though they pass design …
Deep learning for mask synthesis and verification: a survey
Achieving lithography compliance is increasingly difficult in advanced technology nodes.
Due to complicated lithography modeling and long simulation cycles, verifying and …
Due to complicated lithography modeling and long simulation cycles, verifying and …
Machine learning in physical verification, mask synthesis, and physical design
Yield, turn-around time, and chip quality are always of significant concerns for VLSI designs.
The performance and efficiency of key design steps such as physical design, mask …
The performance and efficiency of key design steps such as physical design, mask …