Parallel object allocation via user-specified directives: A case study in traffic simulation

Corradi, Antonio; Leonardi, Letizia; Zambonelli, Franco

doi:10.1016/s0167-8191(00)00105-8

Cited by 5 publications

(2 citation statements)

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“…Of course, we do not claim that the presented results are applicable to any application with the same extent. However, they prove that dynamic object-oriented applications may take advantage of the PO migration mechanisms, given an appropriate identification of application classes and a wise use of allocation hints, such as we have recently experimented with in a larger PO application for urban traffic simulation [10].…”

Section: Discussionmentioning

confidence: 99%

Parallel Objects Migration: A Fine Grained Approach to Load Distribution

Corradi¹,

Leonardi

Zambonelli

2000

Journal of Parallel and Distributed Computing

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Section: Discussionmentioning

confidence: 99%

Parallel Objects Migration: A Fine Grained Approach to Load Distribution

Corradi¹,

Leonardi

Zambonelli

2000

Journal of Parallel and Distributed Computing

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“…On the language aspect, Orca [6], MPL [7] and PO [8,9] are some examples. Orca provides a new language based shared objects.…”

Section: Related Workmentioning

confidence: 99%

ParoC++: A Requirement-driven Parallel Object-oriented Programming Language

Nguyen

Kuonen

2003

Lecture Notes in Computer Science

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

Nguyen¹,

Kuonen²

Eighth International Workshop on High-Level Parallel Programming Models and Supportive Environments, 2003. Proceedings.

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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 selfdescribed, 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.

show abstract

Parallel object allocation via user-specified directives: A case study in traffic simulation

Cited by 5 publications

References 20 publications

Parallel Objects Migration: A Fine Grained Approach to Load Distribution

Parallel Objects Migration: A Fine Grained Approach to Load Distribution

ParoC++: A Requirement-driven Parallel Object-oriented Programming Language

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

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