This paper presents (i) a parallel, platformindependent variant of Borůvka's algorithm, an efficient Minimum Spanning Tree (MST) solver, and (ii) a comprehensive comparison of MST-solver implementations, both on multi-core CPU-chips and GPUs. The core of our variant is an effective and explicit contraction of the graph. Our multi-core CPU implementation scales linearly up to 8 threads, whereas the GPU implementation performs considerably better than the optimal number of threads running on the CPU. We also show that our implementations outperform all other parallel MST-solver implementations in (ii), for a broad set of publicly available roadnetwork graphs.info:eu-repo/semantics/publishedVersio
Graphs are widely used in manyapplications. Some of the applications that usedgraph theory are: anal...
The computation of a minimum spanning tree (MST) is a fundamental topic in any algorithms course. In...
Parallel graph algorithms have become one of the principal applications of high-performance computin...
Dissertação de mestrado em Engenharia InformáticaThe Minimum Spanning Tree (MST) problem is a well k...
Standard parallel computing operations are considered in the context of algorithms for solving 3D gr...
In last decade, application developers attained improved performances by merely employing the machin...
Computing a spanning tree (ST) and a minimum ST (MST) of a graph are fundamental problems in graph t...
Graphics Processor Units are used for many general purpose pro-cessing due to high compute power ava...
AbstractThis paper presents results which improve the efficiency of parallel algorithms for computin...
Part 4: Performance AnalysisInternational audienceMinimum spanning tree (MST) problems play an impor...
In this paper we present deterministic parallel algorithms for the coarse-grained multicomputer (CGM...
In this paper, by means of an abstract model of the SIMD type with vertical data processing (the STA...
Computing the Euclidean minimum spanning tree (EMST) is a computationally demanding step of many alg...
The Euclidean minimum spanning tree for a set of points is the shortest tree connecting all the poin...
Modern Graphics Processing Units (GPUs) provide high computation power at low costs and have been de...
Graphs are widely used in manyapplications. Some of the applications that usedgraph theory are: anal...
The computation of a minimum spanning tree (MST) is a fundamental topic in any algorithms course. In...
Parallel graph algorithms have become one of the principal applications of high-performance computin...
Dissertação de mestrado em Engenharia InformáticaThe Minimum Spanning Tree (MST) problem is a well k...
Standard parallel computing operations are considered in the context of algorithms for solving 3D gr...
In last decade, application developers attained improved performances by merely employing the machin...
Computing a spanning tree (ST) and a minimum ST (MST) of a graph are fundamental problems in graph t...
Graphics Processor Units are used for many general purpose pro-cessing due to high compute power ava...
AbstractThis paper presents results which improve the efficiency of parallel algorithms for computin...
Part 4: Performance AnalysisInternational audienceMinimum spanning tree (MST) problems play an impor...
In this paper we present deterministic parallel algorithms for the coarse-grained multicomputer (CGM...
In this paper, by means of an abstract model of the SIMD type with vertical data processing (the STA...
Computing the Euclidean minimum spanning tree (EMST) is a computationally demanding step of many alg...
The Euclidean minimum spanning tree for a set of points is the shortest tree connecting all the poin...
Modern Graphics Processing Units (GPUs) provide high computation power at low costs and have been de...
Graphs are widely used in manyapplications. Some of the applications that usedgraph theory are: anal...
The computation of a minimum spanning tree (MST) is a fundamental topic in any algorithms course. In...
Parallel graph algorithms have become one of the principal applications of high-performance computin...