Title
FlowTuner: A Multi-Stage EDA Flow Tuner Exploiting Parameter Knowledge Transfer
Abstract
EDA tools provide a large spectrum of parameters to help designers achieve the maximized PPA of designs. The corresponding enormous solution space, however, hinders designers from navigating towards optimal solutions. In this paper, we propose a multi-stage automatic flow tuning tool, named FlowTuner, for efficient and effective parameter tuning of VLSI design flow. It utilizes both exploitation u...
Year
DOI
Venue
2021
10.1109/ICCAD51958.2021.9643564
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
Keywords
DocType
ISSN
Tuners,Runtime,Design automation,Navigation,Very large scale integration,Benchmark testing,Knowledge transfer
Conference
1933-7760
ISBN
Citations 
PageRank 
978-1-6654-4507-8
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Rongjian Liang132.08
Jinwook Jung2259.47
Hua Xiang321917.82
Lakshmi Reddy4595.07
Alexey Lvov5907.87
Jiang Hu666865.67
Gi-Joon Nam7101466.51