Grid-HSI: using Grid computing to enable hyper-spectral imaging analysis

Hyperspectral imagery analysis demand large input data sets, as well as great time of processing and memory capacity. Parallel computers can accelerate the performance of these applications. The potential for massive parallel CPU capacity is one of the most attractive features of a grid. This paper provides a short description of previous software tools have been developed to enable Grid Computing, and then performance analysis tools. Last section is dedicated for description of the prototype for a computational Grid testbed future work