The Fork95 parallel programming language: Design, implementation, application

Fork95 is an imperative parallel programming language intended to express algorithms for synchronous shared memory machines (PRAM). It is based on ANSI C and offers additional constructs to hierarchically divide processor groups into subgroups and manage shared and private address subspaces. Fork95...

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Vydané v:International journal of parallel programming Ročník 25; číslo 1; s. 17 - 50
Hlavní autori: Keßler, Christoph W., Seidl, Helmut
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY Plenum Press 01.02.1997
Springer Nature B.V
Predmet:
Applied sciences
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Exact sciences and technology
Programming languages
Software
Software engineering
Studies
System architecture
Input output
Parallel algorithm
Fast Fourier transformation
Distributed system
Implementation
Pipeline
Design
Hierarchy
RISC processor
Distributed memory multiprocessor system
Parallel programming
Language processing
Programming language
Algorithm performance
Syntax
Software engineering
ISSN:0885-7458, 1573-7640
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Popis
Shrnutí:Fork95 is an imperative parallel programming language intended to express algorithms for synchronous shared memory machines (PRAM). It is based on ANSI C and offers additional constructs to hierarchically divide processor groups into subgroups and manage shared and private address subspaces. Fork95 makes the assembly-level synchronicity of the underlying hardware available to the programmer at the language level. Nevertheless, it supports locally asynchronous computation where desired by the programmer. A one pass compiler, fcc, is presented which complies Fork95 and C programs to the SB-PRAM machine. The SB-PRAM is a lock-step synchronous, massively parallel multiprocessor currently being built at Saarbrucken University, with a physically shared memory and uniform memory access time. Three important types of parallel computation frequently used for the parallel solution of real-world problems are examined.
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ISSN:0885-7458
1573-7640
DOI:10.1007/BF02700045