Add to ORKGParallelism, Optimal Data Distribution/Collection, P3L This document describes the MAP paradigm of parallelism and the problems related to its e cient imple- mentation on a 2D-mesh. In particular, we rst discuss how parallel algorithms ex- ploiting MAP parallelism can be easily expressed by using the P3L Map construct. Then, we discuss an implementation template for a massively parallel architecture with a 2D-mesh topology and Transputer-like processing nodes. The template is asymptotically optimal with respect to the strategies embedded for data distribu- tion, data collection and process allocatio
A method is outlined for optimising graph partitions which arise in mapping unstructured mesh calcul...
166 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.Performance improvements thro...
A summary of the results achieved in the paper "Optimal Randomized Parallel Algorithms for Comp...
Parallelism, Optimal Data Distribution/Collection, P3L This document describes the MAP paradigm of ...
International audienceWe propose a new strategy for the parallelization of mesh processing algorithm...
Abstract. Static mapping is the assignment of parallel processes to the processing elements (PEs) of...
This paper parallelizes the embedding strategy for mapping any two-dimensional grid into its optimal...
Network contention has an increasingly adverse effect on the performance of parallel applications wi...
The Reflecting and Growing mappings have been proposed to map parallel divide-and-conquer algorithms...
In this paper, we show how t o minimize data shar-ang overhead required in most pamllel a1 oriihms, ...
The map operation, in which a function is applied indepen-dently to each element in a collection to ...
The optimal mapping of tasks of a parallel program onto nodes of a parallel computing system has a r...
The need for high-performance computing together with the increasing trend from single processor to ...
Problem topology is the key to efficient parallelization support for partially regular applications....
Delaunay triangulated irregular network (D-TIN) has been widely used in various fields and also play...
A method is outlined for optimising graph partitions which arise in mapping unstructured mesh calcul...
166 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.Performance improvements thro...
A summary of the results achieved in the paper "Optimal Randomized Parallel Algorithms for Comp...
Parallelism, Optimal Data Distribution/Collection, P3L This document describes the MAP paradigm of ...
International audienceWe propose a new strategy for the parallelization of mesh processing algorithm...
Abstract. Static mapping is the assignment of parallel processes to the processing elements (PEs) of...
This paper parallelizes the embedding strategy for mapping any two-dimensional grid into its optimal...
Network contention has an increasingly adverse effect on the performance of parallel applications wi...
The Reflecting and Growing mappings have been proposed to map parallel divide-and-conquer algorithms...
In this paper, we show how t o minimize data shar-ang overhead required in most pamllel a1 oriihms, ...
The map operation, in which a function is applied indepen-dently to each element in a collection to ...
The optimal mapping of tasks of a parallel program onto nodes of a parallel computing system has a r...
The need for high-performance computing together with the increasing trend from single processor to ...
Problem topology is the key to efficient parallelization support for partially regular applications....
Delaunay triangulated irregular network (D-TIN) has been widely used in various fields and also play...
A method is outlined for optimising graph partitions which arise in mapping unstructured mesh calcul...
166 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.Performance improvements thro...
A summary of the results achieved in the paper "Optimal Randomized Parallel Algorithms for Comp...