PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Aldinucci M., Campa S., Ciullo P., Coppola M., Danelutto M., Pesciullesi P., Ravazzolo R., Torquati M., Vanneschi M., Zoccolo C. A framework for experimenting with structured parallel programming environment design. In: ParCo2003 - Parallel Computing: Software Technology, Algorithms, Architectures and Applications (Dresden, Germany, September 2003). Proceedings, G.R. Joubert, W.E. Nagel, F.J. Peters, W.V. Walter (eds.). (Advances in Parallel Computing). Elsevier, 2004.
 
 
Abstract
(English)
ASSIST is a parallel programming environment aimed at providing programmers of complex parallel application with a suitable and effective programming tool. Being based on algoritmical skeletons and coordination languages technologies, the programming environment relieves the programmer from a number of cumbersome, error prone activities that are required when using traditional parallel programming environments. ASSIST has been specically designed to be easily customizable in order to experiment different implementation techniques, solutions, algorithms or back-ends any time new features are required or new technologies become available. In this work we discuss how this goal has been achieved and how the current ASSIST programming environment has been already used to experiment solutions not implemented in the first version of the tool.
URL: http://www.di.unipi.it/~aldinuc/papers.htm
Subject Grid
Heterogeneous clusters
High level parallel programming
Assist
Compiler
Design patterns
D.3.4 Processors
D.3.3 Language Constructs and Features
D.3.2 Language Classifications
D.4.2 Storage Management
C.1.4 Parallel Architectures
C.2.1 Network Architecture and Design


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