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Data distribution specication for high performance computing.
| Content Provider | CiteSeerX |
|---|---|
| Author | Zima, Hans P. |
| Abstract | Abstract: High performance computing (HPC) architectures are specialized machines which can reach their peak performance only if they are programmed in a way which exploits the idiosyncrasies of the architecture. An important feature of most such archi-tectures is a physically distributed memory, resulting in the requirement to take data locality into account independent of the memory model oered to the user. In this pa-per we discuss various ways for managing data distribution in a program, comparing in particular the low-level message-passing approach to that in High Performance Fortran (HPF) and other high performance languages. The main part of the paper outlines a method for the specication of data distribution semantics for distributed-memory ar-chitectures and clusters of SMPs. The paper concludes with a discussion of open issues and references to future work. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | High Performance Computing Data Distribution Specication Future Work High Performance Language Data Distribution Semantics High Performance Fortran Data Locality Various Way Distributed-memory Ar-chitectures Important Feature Memory Model Main Part Open Issue Low-level Message-passing Approach Peak Performance Distributed Memory Data Distribution |
| Content Type | Text |
| Resource Type | Article |
