An important issue facing users who develop applications on PVM is that of partitioning the data over the different processors and generating communication statements for non-local data accesses. The burden of generating communication statements is alleviated by data parallel languages like HPF. But HPF requires the user to specify the distribution of the data in the application. This distribution is specified over the processors on which the application is to execute. A good data distribution depends on the number of processors, the communication latency and the underlying compilation system. In this paper we present a method for automatically generating a dynamic data distribution and alignments for a distributed memory environment. This ...
Abstract: High performance computing (HPC) architectures are specialized machines which can reach th...
A significant amount of software research for developing programming environments for distributed--m...
Fortran 90D/HPF is a data parallel language with special directives to enable users to specify data ...
In this paper we present a method to obtain a set of candidate distributions for a program fragment....
An approach to programming distributed memory-parallel machines that has recently become popular is ...
this report we have described how two methods for automatically determining convenient data distribu...
This article describes the main features and implementation of our automatic data distribution resea...
The goal of languages like Fortran D or High Performance Fortran (HPF) is to provide a simple yet ef...
Parallel architectures with physically distributed memory providing computing cycles and large amoun...
Data parallel programming languages, such as HPF, are the easiest way to program Distributed Memory ...
Massively Parallel Processor systems provide the required computational power to solve most large sc...
Data Partitioning and mapping is one of the most important steps of in writing a parallel program; e...
This article describes the main features and implementation of our automatic data distribution resea...
The goal of languages like Fortran D or High Performance Fortran (HPF) is to provide a simple yet ef...
Distributed memory multiprocessors are increasingly being used to provide high performance for advan...
Abstract: High performance computing (HPC) architectures are specialized machines which can reach th...
A significant amount of software research for developing programming environments for distributed--m...
Fortran 90D/HPF is a data parallel language with special directives to enable users to specify data ...
In this paper we present a method to obtain a set of candidate distributions for a program fragment....
An approach to programming distributed memory-parallel machines that has recently become popular is ...
this report we have described how two methods for automatically determining convenient data distribu...
This article describes the main features and implementation of our automatic data distribution resea...
The goal of languages like Fortran D or High Performance Fortran (HPF) is to provide a simple yet ef...
Parallel architectures with physically distributed memory providing computing cycles and large amoun...
Data parallel programming languages, such as HPF, are the easiest way to program Distributed Memory ...
Massively Parallel Processor systems provide the required computational power to solve most large sc...
Data Partitioning and mapping is one of the most important steps of in writing a parallel program; e...
This article describes the main features and implementation of our automatic data distribution resea...
The goal of languages like Fortran D or High Performance Fortran (HPF) is to provide a simple yet ef...
Distributed memory multiprocessors are increasingly being used to provide high performance for advan...
Abstract: High performance computing (HPC) architectures are specialized machines which can reach th...
A significant amount of software research for developing programming environments for distributed--m...
Fortran 90D/HPF is a data parallel language with special directives to enable users to specify data ...