JOURNAL ARTICLE

A parallel algorithm fork‐way graph partitioning

Kazunori IsomotoShin’ichi WakabayashiNoriyoshi YoshidaJunichi Miyao

Year: 1993 Journal:   Electronics and Communications in Japan (Part III Fundamental Electronic Science) Vol: 76 (3)Pages: 23-33   Publisher: Wiley

Abstract

Abstract With the recent development of semiconductor integration technology, the amount of data that must be handled in the layout design of VLSI is increasing rapidly. Even if the improvement of the processing speed of the computer in the future is considered, it is desired to develop a high‐speed layout algorithm compared to the conventional method. This paper discusses the k (> 2)‐way graph partitioning problem, which is one of the most basic problems concerning the layout design. A parallel algorithm is proposed. The general method to solve this problem has been to apply hierarchically the two‐way graph partitioning algorithm. In this method, the algorithm can easily be executed in parallel by operating a number of processors at each hierarchy. A problem then is the efficiency of the processor and the computation time. This paper considers the k ‐way graph partitioning and proposes a new method called nonhierarchical k ‐way graph partitioning, aiming at the education of the computation time by parallel processing. In general, it is considered difficult to improve the speed sufficiently by the parallel processing, while maintaining the same accuracy of the solution as that of the sequential algorithm. In this paper, the effectiveness of the proposed algorithm is shown by a simulation experiment on the sequential computer.

Keywords:
Computer science Very-large-scale integration Graph partition Computation Parallel algorithm Graph Parallel computing Algorithm Graph algorithms Theoretical computer science

Metrics

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Cited By
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FWCI (Field Weighted Citation Impact)
12
Refs
0.05
Citation Normalized Percentile
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Topics

VLSI and FPGA Design Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Interconnection Networks and Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Low-power high-performance VLSI design
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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