Many institutions already have networks of workstations, which could potentially be harnessed as a powerful parallel processing resource. A new, automatic task allocation system has been built on top of MPI, an environment that permits parallel programming by using the message--passing paradigm and implemented in extensions to C and FORTRAN. This system, known as "Hector", supports dynamic migration of tasks and automatic run--time performance optimization. MPI programs can be run without modification under Hector, and can be run on existing networks of workstations. Thus Hector permits institutions to harness existing computational resources quickly and transparently
Many-task computing is a well-established paradigm for implementing loosely coupled applications on ...
Description The course introduces the basics of parallel programming with the message-passing inter...
The data-parallel language High Performance Fortran (HPF) does not allow efficient expression of mix...
Harnessing the compuational capabilities of a network of workstations promises to off-load work from...
Parallel job execution in the grid environment using MPI technology presents a number of challenges ...
Data-parallel languages such as High Performance Fortran (HPF) present a simple execution model in w...
The Message Passing Interface (MPI) is widely used to write sophisticated parallel applications rang...
High Performance Fortran (HPF) has emerged as a standard dialect of Fortran for data-parallel comput...
Pure data-parallel languages such as High Performance Fortran version 1 (HPF) do not allow efficient...
The availability of cheap computers with outstanding single-processor performance coupled with Ether...
Data-parallel languages such as High Performance Fortran (HPF) present a simple execution model in w...
Message Passing Interface (MPI), as an effort to unify message passing systems to achieve portabilit...
Today's supercomputers gain their performance through a rapidly increasing number of cores per node....
Computational grids allow access to several computing resources interconnected in a distributed hete...
The Message Passing Interface (MPI) has been extremely successful as a portable way to program high...
Many-task computing is a well-established paradigm for implementing loosely coupled applications on ...
Description The course introduces the basics of parallel programming with the message-passing inter...
The data-parallel language High Performance Fortran (HPF) does not allow efficient expression of mix...
Harnessing the compuational capabilities of a network of workstations promises to off-load work from...
Parallel job execution in the grid environment using MPI technology presents a number of challenges ...
Data-parallel languages such as High Performance Fortran (HPF) present a simple execution model in w...
The Message Passing Interface (MPI) is widely used to write sophisticated parallel applications rang...
High Performance Fortran (HPF) has emerged as a standard dialect of Fortran for data-parallel comput...
Pure data-parallel languages such as High Performance Fortran version 1 (HPF) do not allow efficient...
The availability of cheap computers with outstanding single-processor performance coupled with Ether...
Data-parallel languages such as High Performance Fortran (HPF) present a simple execution model in w...
Message Passing Interface (MPI), as an effort to unify message passing systems to achieve portabilit...
Today's supercomputers gain their performance through a rapidly increasing number of cores per node....
Computational grids allow access to several computing resources interconnected in a distributed hete...
The Message Passing Interface (MPI) has been extremely successful as a portable way to program high...
Many-task computing is a well-established paradigm for implementing loosely coupled applications on ...
Description The course introduces the basics of parallel programming with the message-passing inter...
The data-parallel language High Performance Fortran (HPF) does not allow efficient expression of mix...