PFP: a scalable parallel programming model

The Parallel Fortran Preprocessor (PFP) is a programming model for multiple instruction multiple data (MIMD) parallel computers. It provides a simple paradigm consisting of data storage modifiers and parallel execution control statements. The model is lightweight and scalable in nature. The control...

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Bibliographic Details
Published in:Scalable High-Performance Computing Conference (SHPCC-92) pp. 170 - 173
Main Authors: Corda, B.C., Warren, K.H.
Format: Conference Proceeding
Language:English
Published: IEEE Comput. Soc. Press 1992
Subjects:
Communication system control
Computer aided instruction
Concurrent computing
Contracts
Hardware
Laboratories
Memory
Parallel programming
Processor scheduling
Programming profession
ISBN:9780818627750, 0818627751
Online Access:Get full text
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Summary:The Parallel Fortran Preprocessor (PFP) is a programming model for multiple instruction multiple data (MIMD) parallel computers. It provides a simple paradigm consisting of data storage modifiers and parallel execution control statements. The model is lightweight and scalable in nature. The control constructs impose no implicit synchronizations, nor do they require off-processor memory references. The model is portable. It is implemented as a source-to-source translator which requires very little support from the back-end compiler. The implementation has an option to option to produce serial code which can then be compiled for serial execution.< >
ISBN:9780818627750
0818627751
DOI:10.1109/SHPCC.1992.232653