High Performance Fortran (HPF) is a data-parallel language that provides a high-level interface for programming scientiยฎc applications, while delegating to the compiler the task of generating explicitly parallel message-passing programs. This paper provides an overview of HPF compilation and runtime
Compiling distributed applications
โ Scribed by A. Cochet-Muchy; J.P. Thomesse
- Publisher
- Elsevier Science
- Year
- 1981
- Weight
- 555 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0165-6074
No coin nor oath required. For personal study only.
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Algorithm 1 (Compiling Align directives) Input: Fortran 90D/HPF syntax tree with some alignment functions to template Output: Fortran 90D/HPF syntax tree with identical alignment functions to template Method: For each aligned array, and for each dimension of that array, carry out the following ste
data-parallelism in these languages. Array expressions involve array sections which consist of array elements from a lower index to an upper index at a fixed stride. In order to generate high-performance target code, compilers for distributed-memory machines should produce efficient code for array s
## Abstract Multiply sectioned Bayesian networks (MSBNs) support multiagent probabilistic inference in distributed large problem domains. Inference with MSBNs can be performed using their compiled representations. The compilation involves moralization and triangulation of a set of local graphical s
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