Introducing Microsoft® .NET
Heterogeneous computing and parallel genetic algorithms
Journal of Parallel and Distributed Computing - Problems in parallel and distributed computing: Solutions based on evolutionary paradigms
Integrating an Entry Consistency Memory Model and Concurrent Object-Oriented Programming
Euro-Par '97 Proceedings of the Third International Euro-Par Conference on Parallel Processing
Programming C#
Parallel heterogeneous genetic algorithms for continuous optimization
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
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JACO is a Java-based runtime system designed to study techniques for implementing concurrent objects in distributed systems. The use of Java has allowed us to build a system that permits to combine heterogeneous networks of workstations and multiprocessors as a unique metacomputing system. An alternative to Java is Microsoft's .NET platform, that offers a software layer to execute programs written in different languages, including Java and C#, a new language specifically designed to exploit the full advantages of .NET. In this paper, we present our experiences in porting JACO to .NET. Our goal is to analyze how Java parallel code can be re-used in .NET. We study two alternatives. The first one is to use J#, the implementation of Java offered by .NET. The second one is to rewrite the Java code in C#, using the native .NET services. We conclude that porting JACO from Java to C# is not difficult, and that our sequential programs run faster in .NET than in Java, while internode communications have a higher cost in .NET.