Clusters of workstations are becoming popular platforms for parallel computing, but performance on these systems is more complex and harder to predict than on traditional parallel...
Geetanjali Sampemane, Scott Pakin, Andrew A. Chien
An important requirement for the effective scheduling of parallel applications on large heterogeneous clusters is a current view of system resource availability. Maintaining such ...
With the emergence of grid computing environment, performance measurement, analysis and prediction of non-dedicated distributed systems have become increasingly important. In this...
Performance prediction is valuable in different areas of computing. The popularity of lease-based access to high performance computing resources particularly benefits from accurate...
Javier Delgado, Seyed Masoud Sadjadi, Marion Brigh...
Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...