Difference between revisions of "Koudas2015"

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|doi=10.1109/ICCAD.2015.7372578
|doi=10.1109/ICCAD.2015.7372578
|abstract=<p>Electronic Design Automation (EDA) has had a profound impact on the development of modern computing and information technology which in turn has transformed our lives and society. Despite its dominant focus on electronics, EDA is one of the first fields in engineering that has taken a truly interdisciplinary route: several abstractions, computational models, algorithms, methodologies, and tools have been jointly developed by the chemists, device physicists, electrical engineers, computer scientists, applied mathematicians, and optimization experts. These EDA tools are capable of not only synthesizing and optimizing design from its high-level functional description to physical entity, but also performing the complex tasks of simulation and verification. In recent years, with the Moore\&rsquo;s law approaching it\&rsquo;s near-end, a number of studies and newinitiatives have been focusing on more contemporary problems and novel application domains for the field. This paper provides an overview of knowledge gathered by the prior forward-looking efforts pursued by the EDA community. Our goal is to systemize the knowledge, trends, and visions that can help DA community to move beyond its traditional boundaries.</p>
|abstract=<p>Electronic Design Automation (EDA) has had a profound impact on the development of modern computing and information technology which in turn has transformed our lives and society. Despite its dominant focus on electronics, EDA is one of the first fields in engineering that has taken a truly interdisciplinary route: several abstractions, computational models, algorithms, methodologies, and tools have been jointly developed by the chemists, device physicists, electrical engineers, computer scientists, applied mathematicians, and optimization experts. These EDA tools are capable of not only synthesizing and optimizing design from its high-level functional description to physical entity, but also performing the complex tasks of simulation and verification. In recent years, with the Moore\&rsquo;s law approaching it\&rsquo;s near-end, a number of studies and newinitiatives have been focusing on more contemporary problems and novel application domains for the field. This paper provides an overview of knowledge gathered by the prior forward-looking efforts pursued by the EDA community. Our goal is to systemize the knowledge, trends, and visions that can help DA community to move beyond its traditional boundaries.</p>
|month=11
|year=2015
|booktitle=IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
|booktitle=IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
|title=DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives
|title=DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives
|entry=inproceedings
|entry=inproceedings
|date=2015-No-01
}}
}}

Revision as of 03:42, 4 September 2021

Koudas2015
entryinproceedings
address
annote
authorF. Koushanfar and A. Mirhoseini and G. Qu and Z. Zhang
booktitleIEEE/ACM International Conference on Computer-Aided Design (ICCAD)
chapter
edition
editor
howpublished
institution
journal
month11
note
number
organization
pages
publisher
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series
titleDA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives
type
volume
year2015
doi10.1109/ICCAD.2015.7372578
issn
isbn
urlhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7372578
pdf


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Email:
farinaz@ucsd.edu
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Address:
Electrical & Computer Engineering
University of California, San Diego
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Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
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Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093