DocumentCode
1745696
Title
An implementation of parallel dynamic load balancing for adaptive computing in VLSI device simulation
Author
Li, Yiming ; Chen, Cheng-Kai ; Shui-Sheng Lin ; Chao, Tien-Sheng ; Jinn-Liang Lin ; Sze, S.M.
Author_Institution
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
2001
fDate
36982
Abstract
A new parallel semiconductor device simulation using the dynamic load balancing approach is presented. This semiconductor device simulation based on adaptive finite volume error estimation, and monotone iterative methods has been developed and implemented on a Linux-cluster with MPI library. Two different parallel versions of the algorithm to perform a complete device simulation are proposed. The first one is a dynamic parallel domain decomposition approach. The second version is a parallel current-voltage characteristic points simulation. The implementation shows that a well-designed load balancing simulation can reduce the execution time up to an order of magnitude. Compared with the measured data, numerical simulations on P-N diode, N-MOSFET, and DTMOS devices are presented to show the accuracy and efficiency of the method
Keywords
VLSI; circuit simulation; finite volume methods; iterative methods; resource allocation; semiconductor device models; DTMOS devices; Linux-cluster; MPI library; N-MOSFET; P-N diode; VLSI device simulation; adaptive computing; adaptive finite volume error estimation; dynamic parallel domain decomposition; load balancing simulation; monotone iterative methods; numerical simulations; parallel current-voltage characteristic points simulation; parallel dynamic load balancing; parallel semiconductor device simulation; Current-voltage characteristics; Error analysis; Iterative algorithms; Iterative methods; Libraries; Load management; MOSFET circuits; Numerical simulation; Semiconductor devices; Semiconductor diodes;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium., Proceedings 15th International
Conference_Location
San Francisco, CA
ISSN
1530-2075
Print_ISBN
0-7695-0990-8
Type
conf
DOI
10.1109/IPDPS.2001.925022
Filename
925022
Link To Document