More on JACE: new functionalities, new experiments

Java is often criticized for its poor performances compared to native codes. Nevertheless, this language provides lots of interesting functionalities to easily implement scientific applications on a widely distributed architecture (i.e. grid). The context of this paper is that of iterative algorithms. In order to increase the efficiency of the code, we suggest to use a special class of algorithms called AIACs (asynchronous iterations, asynchronous computations). This paper presents new results on our works to combine Java and asynchronism within a programming/execution environment called JACE. New functionalities have been added and interesting comparisons with C/MPI and on the impact of overlap techniques are given