Add to ORKGGraph partitioning algorithms for minimizing inter-node communication on a distributed syste
Abstract. The paper gives an overview of our recent work on balanced graph partitioning – partition ...
Many problems appearing in scientific computing and other areas can be formulated as a graph parti...
The datasets in many fields of science and engineering are growing rapidly with the recent ad-vances...
International audienceTraversing massive graphs as efficiently as possible is essential for many app...
Balanced graph partitioning is a well known NP-complete problem with a wide range of applications. T...
Shared Memory Processors (SMP) workstation clusters are becoming more and more popular. To optimize ...
Due to many technical advances of the last decades, networks are used everywhere. Graphs can be used...
This paper presents efficient deterministic and ran-domized distributed algorithms for decomposing a...
Balanced graph partitioning is a well known NP-complete problem with a wide range of applications. T...
Abstract. In this paper, we develop semi-external and external mem-ory algorithms for graph partitio...
Realizing the potential of massively parallel machines requires good solutions to the problem of map...
Balanced graph partitioning is an NP-complete problem with a wide range of applications. These appli...
Partitioning of a distributed data base requires either that update activity be restricted or that ...
In this paper we consider a novel partition-based framework for distributed optimization in peer-to-...
[[abstract]]The authors discuss the network partition and the distributed selection problems for a g...
Abstract. The paper gives an overview of our recent work on balanced graph partitioning – partition ...
Many problems appearing in scientific computing and other areas can be formulated as a graph parti...
The datasets in many fields of science and engineering are growing rapidly with the recent ad-vances...
International audienceTraversing massive graphs as efficiently as possible is essential for many app...
Balanced graph partitioning is a well known NP-complete problem with a wide range of applications. T...
Shared Memory Processors (SMP) workstation clusters are becoming more and more popular. To optimize ...
Due to many technical advances of the last decades, networks are used everywhere. Graphs can be used...
This paper presents efficient deterministic and ran-domized distributed algorithms for decomposing a...
Balanced graph partitioning is a well known NP-complete problem with a wide range of applications. T...
Abstract. In this paper, we develop semi-external and external mem-ory algorithms for graph partitio...
Realizing the potential of massively parallel machines requires good solutions to the problem of map...
Balanced graph partitioning is an NP-complete problem with a wide range of applications. These appli...
Partitioning of a distributed data base requires either that update activity be restricted or that ...
In this paper we consider a novel partition-based framework for distributed optimization in peer-to-...
[[abstract]]The authors discuss the network partition and the distributed selection problems for a g...
Abstract. The paper gives an overview of our recent work on balanced graph partitioning – partition ...
Many problems appearing in scientific computing and other areas can be formulated as a graph parti...
The datasets in many fields of science and engineering are growing rapidly with the recent ad-vances...