Title
Proximity Optimization for Adaptive Circuit Design.
Abstract
The performance growth of conventional VLSI circuits is seriously hampered by various variation effects and the fundamental limit of chip power density. Adaptive circuit design is recognized as a power-efficient approach to tackling the variation challenge. However, it tends to entail large area overhead if not carefully designed. This work studies how to reduce the overhead by forming adaptivity blocks considering both timing and spatial proximity among logic cells. The proximity optimization consists of timing and location aware cell clustering and incremental placement enforcing the clusters. Experiments are performed on the ICCAD 2014 benchmark circuits, which include case of near one million cells. Compared to alternative methods, our approach achieves 1/4 to 3/4 area overhead reduction with an average of 0.6% wirelength overhead, while retains about the same timing yield and power.
Year
DOI
Venue
2016
10.1145/2872334.2872354
ISPD
Keywords
Field
DocType
Adaptive circuit design, incremental placement, cell clustering
Mathematical optimization,Computer science,Circuit design,Chip,Electronic circuit,Cluster analysis,Location aware,Very-large-scale integration,Computer engineering,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-4039-7
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Ang Lu100.34
Hao He231.76
Jiang Hu366865.67