Title
ISPD 2014 benchmarks with sub-45nm technology rules for detailed-routing-driven placement
Abstract
The public release of realistic industrial placement benchmarks by IBM and Intel Corporations from 1998--2013 has been crucial to the progress in physical-design algorithms during those years. Direct comparisons of academic tools on these test cases, including widely publicized contests, have spurred researchers to discover faster, more scalable algorithms with significantly improved quality of results. Nevertheless, close examination of these benchmarks reveals that the removal of important physical data from them prior to release now presents a serious obstacle to any accurate appraisal of the detailed routability of their placements. Recent studies suggest that academic placement algorithms may lack sufficient awareness of the pin geometry and routing rules missing from these benchmarks to adequately address the challenge of computing routable placements at 28nm-process technologies and below. In this article, the reconstitution of the existing benchmarks via the injection of realistic yet fictitious pin data and routing rules is described. The enhanced benchmarks enable more meaningful comparisons of new placement algorithms by industrial detailed routing, beginning with the 2014 ISPD placement contest.
Year
DOI
Venue
2014
10.1145/2560519.2565877
ISPD
Keywords
Field
DocType
realistic industrial placement benchmarks,routable placement,sub-45nm technology rule,academic tool,ispd placement contest,enhanced benchmarks,industrial detailed routing,new placement algorithm,detailed routability,existing benchmarks,detailed-routing-driven placement,academic placement algorithm,placement
Obstacle,Mathematical optimization,Quality of results,IBM,Computer science,Parallel computing,Placement Evaluation,Placement,Test case,Scalable algorithms,Computer engineering
Conference
Citations 
PageRank 
References 
39
1.38
15
Authors
5
Name
Order
Citations
PageRank
Vladimir Yutsis1602.32
Ismail Bustany2965.98
David Chinnery31419.97
Joseph R. Shinnerl442827.27
Wen-Hao Liu533217.52