Abstract. Irregular and sparse scientific computing programs frequently experience performance losses because of inefficient use of the memory system in most machines. Previous work has shown that, for a graph model, performing a partitioning and then reordering within each par-tition (hierarchical reordering) improves performance. More recent work has shown that reordering heuristics based on a hypergraph model re-sult in better reorderings than those based on a graph model. This paper studies the effects of hierarchical reordering strategies within the hyper-graph model. In our experiments, the reorderings are applied to the nodes and elements of tetrahedral meshes, which are used as input to a mesh optimization application. This applicat...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
We study hierarchical configuration of distributed systems for achieving optimized system performanc...
Processors have become faster at a much quicker rate than memory access time, creating wide gap betw...
We present a case study to improve the cache efficiency for a simulation on a tetrahedral bisection-...
Irregular applications frequently exhibit poor performance on contemporary computer architectures, i...
The gap between CPU speed and memory speed in modern com-puter systems is widening as new generation...
Applications that operate on meshes are very popular in High Performance Computing (HPC) environment...
Irregular applications frequently exhibit poor performance on contemporary computer architectures, i...
Graph partitioning has been shown to be an effective way to divide a large computation over an arbit...
Abstract. We present a recursive way to partition hypergraphs which creates and exploits hypergraph ...
The gap between CPU speed and memory speed in modern computer systems is widening as new generations...
No separate or additional fees are collected for access to or distribution of the work.In this paper...
Abstract—The data one needs to cope to solve today’s problems is large scale, so are the graphs and ...
(a) front-to-back (b) vertex cache optimized (c) our method Figure 1: Illustration of overdraw and v...
A method is outlined for optimising graph partitions which arise in mapping unstructured mesh calcul...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
We study hierarchical configuration of distributed systems for achieving optimized system performanc...
Processors have become faster at a much quicker rate than memory access time, creating wide gap betw...
We present a case study to improve the cache efficiency for a simulation on a tetrahedral bisection-...
Irregular applications frequently exhibit poor performance on contemporary computer architectures, i...
The gap between CPU speed and memory speed in modern com-puter systems is widening as new generation...
Applications that operate on meshes are very popular in High Performance Computing (HPC) environment...
Irregular applications frequently exhibit poor performance on contemporary computer architectures, i...
Graph partitioning has been shown to be an effective way to divide a large computation over an arbit...
Abstract. We present a recursive way to partition hypergraphs which creates and exploits hypergraph ...
The gap between CPU speed and memory speed in modern computer systems is widening as new generations...
No separate or additional fees are collected for access to or distribution of the work.In this paper...
Abstract—The data one needs to cope to solve today’s problems is large scale, so are the graphs and ...
(a) front-to-back (b) vertex cache optimized (c) our method Figure 1: Illustration of overdraw and v...
A method is outlined for optimising graph partitions which arise in mapping unstructured mesh calcul...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
We study hierarchical configuration of distributed systems for achieving optimized system performanc...
Processors have become faster at a much quicker rate than memory access time, creating wide gap betw...