Add to ORKGEstimating communication cost involved in executing a program on distributed memory machines is important for evaluating the overheads due to repartitioning. The authors present a scheme which will work with reasonable efficiency for arrays with at most 3 dimensions. The hyperplane partitioning technique given by [10] is extended to complete programs by estimating the communication cost by the scheme presented in the work
Distributed shared-memory systems provide scalable performance and a convenient model for parallel p...
Given a partitioning of a sparse matrix for parallel matrix–vector multiplication, which determines ...
Distributed shared-memory systems provide scalable performance and a convenient model for parallel p...
Estimating communication cost involved in executing a program on distributed memory machines is impo...
Estimating communication cost involved in executing a program on distributed memory machines is impo...
Automatic Global Data Partitioning for Distributed Memory Machines (DMMs) is a difficult problem. Di...
This paper addresses the problem of partitioning data for distributed memory machines (multicomputer...
Automatic global data partitioning for distributed memory machines (DMMs) is a difficult problem. In...
This paper addresses the problem of partitioning data for distributed memory machines or multicomput...
An important problem facing numerous research projects on parallelizing compilers for distributed me...
Abstract. Array redistribution is required often in programs on distributed memory parallel computer...
The recent advent of parallel machines with tens of thousands of processors is pre-senting new chall...
Most of the current compiler projects for distributed memory architectures leave the critical and ti...
International audienceWe investigate hypergraph partitioning-based methods for efficient paralleliza...
This paper describes a number of optimizations that can be used to support the efficient execution o...
Distributed shared-memory systems provide scalable performance and a convenient model for parallel p...
Given a partitioning of a sparse matrix for parallel matrix–vector multiplication, which determines ...
Distributed shared-memory systems provide scalable performance and a convenient model for parallel p...
Estimating communication cost involved in executing a program on distributed memory machines is impo...
Estimating communication cost involved in executing a program on distributed memory machines is impo...
Automatic Global Data Partitioning for Distributed Memory Machines (DMMs) is a difficult problem. Di...
This paper addresses the problem of partitioning data for distributed memory machines (multicomputer...
Automatic global data partitioning for distributed memory machines (DMMs) is a difficult problem. In...
This paper addresses the problem of partitioning data for distributed memory machines or multicomput...
An important problem facing numerous research projects on parallelizing compilers for distributed me...
Abstract. Array redistribution is required often in programs on distributed memory parallel computer...
The recent advent of parallel machines with tens of thousands of processors is pre-senting new chall...
Most of the current compiler projects for distributed memory architectures leave the critical and ti...
International audienceWe investigate hypergraph partitioning-based methods for efficient paralleliza...
This paper describes a number of optimizations that can be used to support the efficient execution o...
Distributed shared-memory systems provide scalable performance and a convenient model for parallel p...
Given a partitioning of a sparse matrix for parallel matrix–vector multiplication, which determines ...
Distributed shared-memory systems provide scalable performance and a convenient model for parallel p...