Add to ORKGThis paper describes the performance of locality-based mapping and remapping partitioners for unstructured grids. We show that the algorithm produces good mappings at a relatively low cost and can be easily parallelized. Further, the algorithm can provide remapping for incremental problems at a fraction of the total cost
This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of...
This work explains a heuristic algorithm, task self mapping algorithm (TSMA), for mapping parallel a...
Irregular problems arise in many areas of computational physics and other scientific applications. A...
This paper describes the performance of localitybased mapping and remapping partitioners for unstruc...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...
New mapping algorithms for domain oriented data-parallel computations, where the workload is distrib...
The mapping problem has been studied extensively. However, algorithms which were designed to map a p...
In this paper we study the problem of mapping a large class of irregular and loosely synchronous dat...
An important class of scientific codes access memory in an irregular manner. Because irregular acce...
Parallel computing promises several orders of magnitude increase in our ability to solve realistic c...
This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of...
This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of...
Irregular problems require the computation of some properties for a set of elements that are irregul...
This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of...
This work explains a heuristic algorithm, task self mapping algorithm (TSMA), for mapping parallel a...
Irregular problems arise in many areas of computational physics and other scientific applications. A...
This paper describes the performance of localitybased mapping and remapping partitioners for unstruc...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...
New mapping algorithms for domain oriented data-parallel computations, where the workload is distrib...
The mapping problem has been studied extensively. However, algorithms which were designed to map a p...
In this paper we study the problem of mapping a large class of irregular and loosely synchronous dat...
An important class of scientific codes access memory in an irregular manner. Because irregular acce...
Parallel computing promises several orders of magnitude increase in our ability to solve realistic c...
This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of...
This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of...
Irregular problems require the computation of some properties for a set of elements that are irregul...
This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of...
This work explains a heuristic algorithm, task self mapping algorithm (TSMA), for mapping parallel a...
Irregular problems arise in many areas of computational physics and other scientific applications. A...