Zobrazeno 1 - 8
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pro vyhledávání: '"David R. Kohr"'
Publikováno v:
Journal of Parallel and Distributed Computing. 45:148-158
Pure data-parallel languages such as High Performance Fortran version 1 (HPF) do not allow efficient expression of mixed task/data-parallel computations or the coupling of separately compiled data-parallel modules. In this paper, we show how these co
Publikováno v:
Scientific Programming, Vol 3, Iss 4, Pp 301-324 (1994)
The nascent and rapidly evolving state of parallel systems often leaves parallel application developers at the mercy of inefficient, inflexible operating system software. Given the relatively primitive state of parallel systems software, maximizing t
Publikováno v:
Proceedings. Second MPI Developer's Conference.
Data-parallel languages such as High Performance Fortran (HPF) present a simple execution model in which a single thread of control performs high-level operations on distributed arrays. These languages can greatly ease the development of parallel pro
Publikováno v:
HiPC
High Performance Fortran (HPF) has emerged as a standard dialect of Fortran for data-parallel computing. However, HPF does not support task parallelism or heterogeneous computing adequately. This paper presents a summary of our work on a library-base
Publikováno v:
IOPADS
As high-speed networks make it easier to use distributed resources, it becomes increasingly common that applications and their data are not colocated. Users have traditionally addressed this problem by manually staging data to and from remote compute
Publikováno v:
SC
High Performance Fortran (HPF) does not allow efficient expression of mixed task/data-parallel computations or the coupling of separately compiled data-parallel modules. In this paper, we show how a coordination library implementing the Message Passi
Conference
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Conference
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