Difference between revisions of "Koudas2015"
From ACES
(Import from BibTeX) |
m (Default pdf) |
||
| (One intermediate revision by the same user not shown) | |||
| Line 4: | Line 4: | ||
|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\’s law approaching it\’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\’s law approaching it\’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 | ||
| | |pdf=Koudas2015.pdf | ||
}} | }} | ||
Latest revision as of 18:35, 9 November 2021
| Koudas2015 | |
|---|---|
| entry | inproceedings |
| address | |
| annote | |
| author | F. Koushanfar and A. Mirhoseini and G. Qu and Z. Zhang |
| booktitle | IEEE/ACM International Conference on Computer-Aided Design (ICCAD) |
| chapter | |
| edition | |
| editor | |
| howpublished | |
| institution | |
| journal | |
| month | 11 |
| note | |
| number | |
| organization | |
| pages | |
| publisher | |
| school | |
| series | |
| title | DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives |
| type | |
| volume | |
| year | 2015 |
| doi | 10.1109/ICCAD.2015.7372578 |
| issn | |
| isbn | |
| url | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7372578 |
| Koudas2015.pdf | |
Email:
farinaz@ucsd.edu
farinaz@ucsd.edu
Address:
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093