Multi-Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization

Navaratnasothie Selvakkumaran; George Karypis

doi:10.1109/iccad.2003.159757

Multi-Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization

Navaratnasothie Selvakkumaran, George Karypis

Computer Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

41 Scopus citations

Abstract

In this paper we present a family of multi-objective hypergraph partitioning algorithms based on the multilevel paradigm, which are capable of producing solutions in which both the cut and the maximum subdomain degree are simultaneously minimized. This type of partitionings are critical for existing and emerging applications in VLSI CAD as they allow to both minimize and evenly distribute the interconnects across the physical devices. Our experimental evaluation on the ISPD98 benchmark show that our algorithms produce solutions that when compared against those produced by hMETIS have a maximum subdomain degree that is reduced by up to 35% while achieving comparable quality in terms of cut.

Original language	English (US)
Pages (from-to)	726-733
Number of pages	8
Journal	IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers
DOIs	https://doi.org/10.1109/iccad.2003.159757
State	Published - 2003
Event	IEEE/ACM International Conference on Computer Aided Design ICCAD 2003: IEEE/ACM Digest of Technical Papers - San Jose, CA, United States Duration: Nov 9 2003 → Nov 13 2003

Keywords

Congestion
Maximum Subdomain Degree
Partitioning
Placement

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AB - In this paper we present a family of multi-objective hypergraph partitioning algorithms based on the multilevel paradigm, which are capable of producing solutions in which both the cut and the maximum subdomain degree are simultaneously minimized. This type of partitionings are critical for existing and emerging applications in VLSI CAD as they allow to both minimize and evenly distribute the interconnects across the physical devices. Our experimental evaluation on the ISPD98 benchmark show that our algorithms produce solutions that when compared against those produced by hMETIS have a maximum subdomain degree that is reduced by up to 35% while achieving comparable quality in terms of cut.

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KW - Placement

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Multi-Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization

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