HPTS: Heterogeneous parallel tabu search for VLSI placement

Ahmad Al-Yamani, Sadiq M. Sait, Hassan R. Barada

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations

Abstract

Parallelizing any algorithm on a cluster of heterogeneous workstations is not easy, as each workstation requires different wall clock time to execute the same instruction set. In this work, a parallel tabu search algorithm for heterogeneous workstations is presented using PVM. Two parallelization strategies, i.e., functional decomposition and multi-search thread strategies are integrated. The proposed algorithm is tested on the VLSI standard cell placement problem, however, the same algorithm can be used on any combinatorial optimization problem. The results are compared ignoring heterogeneity and are found to be superior in terms of execution time.

Original languageBritish English
Pages351-355
Number of pages5
DOIs
StatePublished - 2002
Event2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States
Duration: 12 May 200217 May 2002

Conference

Conference2002 Congress on Evolutionary Computation, CEC 2002
Country/TerritoryUnited States
CityHonolulu, HI
Period12/05/0217/05/02

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