DocumentCode
1855656
Title
Congestion-oriented approach in placement for analog and mixed-signal circuits
Author
Hongxia Zhou ; Chiu-Wing Sham ; Hailong Yao
Author_Institution
Hong Kong Polytech. Univ., Hong Kong, China
fYear
2013
fDate
26-28 Aug. 2013
Firstpage
97
Lastpage
102
Abstract
Placement design is an essential step in VLSI design and the interaction between different modules makes it a complex process, especially for the integration of analog and mixed-signal circuits. The satisfactory placements of these circuits can be achieved by considering a series of constraints such as symmetry, and general placement constraints-alignment, abutment, preplace, boundary, range and maximum separation. Additionally, the placement result determines the routability of the subsequent routing work. Hence, routability is another important issue that should be considered during the placement phase. In this paper, we propose a new approach which expands the size of certain modules by analyzing the net congestion probability in respect of routability and satisfying the mentioned constraints during the placement process for analog and mixed-signal circuits. Experimental results demonstrate the effectiveness and feasibility of our approach in solving the routability-driven placement problem.
Keywords
VLSI; analogue integrated circuits; integrated circuit design; integrated circuit layout; mixed analogue-digital integrated circuits; VLSI; analog circuits; congestion oriented approach; congestion probability model; constraints edges; dummy nodes; expansion process; mixed signal circuits; net congestion probability; placement design; routability driven placement; subsequent channel routing; very-large-scale integration; Arrays; Compaction; Educational institutions; Pins; Probabilistic logic; Routing; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality Electronic Design (ASQED), 2013 5th Asia Symposium on
Conference_Location
Penang
Print_ISBN
978-1-4799-1312-1
Type
conf
DOI
10.1109/ASQED.2013.6643571
Filename
6643571
Link To Document