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 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 real-time 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.
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References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Pinho, Eduardo Gurgel; Junior, Francisco Heron De Carvalho: An object-oriented parallel programming language for distributed-memory parallel computing platforms (2014)
- Nguyen, Tuan-Anh; Kuonen, Pierre: ParoC++: A requirement-driven parallel object-oriented programming language (2003)
- Sloot, Peter M. A. (ed.); Abramson, David (ed.); Bogdanov, Alexander V. (ed.); Dongarra, Jack J. (ed.); Zomaya, Albert Y. (ed.); Gorbachev, Yuriy E. (ed.): Computational science -- ICCS 2003. International conference, Melbourne, Australia and St. Petersburg, Russia, June 2--4, 2003. Proceedings, Part I (2003)