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 :
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