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 36% while achieving comparable quality in terms of cut
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
Multilevel algorithms are a successful class of optimisation techniques which address the mesh parti...
International audienceWe investigate hypergraph partitioning-based methods for efficient paralleliza...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
Introduction Hypergraph partitioning is an important problem with extensive application to many are...
Multilevel Fiduccia-Mattheyses (MLFM) hypergraph parti-tioning [3, 22, 241 is a fundamental optimiza...
Our objectives in this paper are twofold: design an approach for the netlist partitioning problem us...
Multilevel Fiduccia-Mattheyses (MLFM) hypergraph partitioning [3, 22, 24] is a fundamental optimizat...
The problem of hypergraph partitioning has been around for more than a quarter of a century. Its ear...
[[abstract]]Circuit partitioning is one of the central problems in VLSI system design. The primary o...
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In...
In this paper, we propose an effective multiway hypergraph partitioning algorithm. We introduce the ...
[[abstract]]We present the fastest algorithm known today for computing a global minimum cut in a hyp...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
Multilevel algorithms are a successful class of optimisation techniques which address the mesh parti...
International audienceWe investigate hypergraph partitioning-based methods for efficient paralleliza...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
Introduction Hypergraph partitioning is an important problem with extensive application to many are...
Multilevel Fiduccia-Mattheyses (MLFM) hypergraph parti-tioning [3, 22, 241 is a fundamental optimiza...
Our objectives in this paper are twofold: design an approach for the netlist partitioning problem us...
Multilevel Fiduccia-Mattheyses (MLFM) hypergraph partitioning [3, 22, 24] is a fundamental optimizat...
The problem of hypergraph partitioning has been around for more than a quarter of a century. Its ear...
[[abstract]]Circuit partitioning is one of the central problems in VLSI system design. The primary o...
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In...
In this paper, we propose an effective multiway hypergraph partitioning algorithm. We introduce the ...
[[abstract]]We present the fastest algorithm known today for computing a global minimum cut in a hyp...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
Multilevel algorithms are a successful class of optimisation techniques which address the mesh parti...
International audienceWe investigate hypergraph partitioning-based methods for efficient paralleliza...