Affiliation:
1. University of Calgary, Calgary, Alberta
2. University of Waterloo, Waterloo, Ontario
Abstract
The placement problem has become more complex and challenging due to a wide variety of complicated constraints imposed by modern process technologies. Some of the most challenging constraints and objectives were highlighted during the most recent ACM/IEEE International Symposium on Physical Design (ISPD) contests. In this article, the framework of Eh?Placer and its developed algorithms are elaborated, with the main focus on modern technology constraints and runtime. The technology constraints considered as part of Eh?Placer are fence region, target density, and detailed routability constraints. We present a complete description on how these constraints are considered in different stages of Eh?Placer. The results obtained from the contests indicate that Eh?Placer is able to efficiently handle modern technology constraints and ranks highly among top academic placement tools.
Funder
Alberta Innovates-Technology Futures
Natural Sciences and Engineering Council of Canada
Compute/Calcul Canada and the Canadian Microelectronics Corporation
Publisher
Association for Computing Machinery (ACM)
Subject
Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications
Cited by
25 articles.
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