News
Java’s platform-independent “bytecode” can be executed securely on many platforms, making the language an attractive basis for portable Grid computing. In addition, Java’s performance on sequential ...
Corey Klaasmeyer defines grid computing and contrasts it with cluster computing. This article also leads the reader through a simple Globus Toolkit 4 grid service implementation.
Here, we provide evidence of Java’s usefulness for parallel computing by describing efficient implementation techniques, showing the combination of powerful compilers and efficient runtime systems ...
This paper presents a more efficient Java remote method invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited by the lack of ...
Distributed software component architectures provide promising approach to the problem of building large scale, scientific Grid applications [18]. Communication in these component architectures is ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results