Matches in SemOpenAlex for { <https://semopenalex.org/work/W3210573375> ?p ?o ?g. }
- W3210573375 endingPage "3181" @default.
- W3210573375 startingPage "3162" @default.
- W3210573375 abstract "Due to the increasing size of integrated circuits (ICs), their design and optimization phases (i.e., computer-aided design, CAD) grow increasingly complex. At design time, a large design space needs to be explored to find an implementation that fulfills all specifications and then optimizes metrics like energy, area, delay, reliability, etc. At run time, a large configuration space needs to be searched to find the best set of parameters (e.g., voltage/frequency) to further optimize the system. Both spaces are infeasible for exhaustive search typically leading to heuristic optimization algorithms that find some tradeoff between design quality and computational overhead. Machine learning (ML) can build powerful models that have successfully been employed in related domains. In this survey, we categorize how ML may be used and is used for design-time and run-time optimization and exploration strategies of ICs. A metastudy of published techniques unveils areas in CAD that are well explored and underexplored with ML, as well as trends in the employed ML algorithms. We present a comprehensive categorization and summary of the state of the art on ML for CAD. Finally, we summarize the remaining challenges and promising open research directions." @default.
- W3210573375 created "2021-11-08" @default.
- W3210573375 creator A5000933188 @default.
- W3210573375 creator A5011883763 @default.
- W3210573375 creator A5015458961 @default.
- W3210573375 creator A5017470419 @default.
- W3210573375 creator A5051340429 @default.
- W3210573375 creator A5059133190 @default.
- W3210573375 creator A5063508488 @default.
- W3210573375 date "2022-10-01" @default.
- W3210573375 modified "2023-10-06" @default.
- W3210573375 title "MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper" @default.
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