ParoC++: a requirement-driven parallel object-oriented programming language

Adaptive utilization of resources in a highly heterogeneous computational environment such as the Grid is a difficult question. In this paper we address an object-oriented approach to the solution using requirement-driven parallel objects. Each parallel object is a self-described, shareable and pass...

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Bibliographic Details
Main Authors: Tuan-Anh Nguyen, Kuonen, P.
Format: Conference Proceeding
Language:English
Subjects:
Computer languages
Distributed computing
Environmental management
Grid computing
Object oriented modeling
Object oriented programming
Parallel programming
Programming profession
Resource management
Runtime environment
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Summary:Adaptive utilization of resources in a highly heterogeneous computational environment such as the Grid is a difficult question. In this paper we address an object-oriented approach to the solution using requirement-driven parallel objects. Each parallel object is a self-described, shareable and passive object that resides in a separate memory address space. The allocation of the parallel object is driven by the constraints on the resource on which the object will live. A new parallel programming paradigm is presented in the context of ParoC++ - a new parallel object-oriented programming environment for high performance distributed computing. ParoC++ extends C++ for supporting requirement-driven parallel objects and a runtime system that provides services to run ParoC+ + programs in distributed environments. An industrial application on realtime image processing is used as a test case to the system. The experimental results show that the ParoC++ model is efficient and scalable and that it makes easier to adapt parallel applications to dynamic environments.
DOI:10.1109/HIPS.2003.1196492