PC grids represent massive computation capacity at a low cost, but are challenging to employ for parallel computing because of variable and unpredictable performance and availabili...
Nagarajan Kanna, Jaspal Subhlok, Edgar Gabriel, Es...
We consider efficient communication schemes based on both network-supported and application-level multicast techniques for content-based publication-subscription systems. We show...
Anton Riabov, Zhen Liu, Joel L. Wolf, Philip S. Yu...
This paper shows how lightpath-based networks can allow challenging, fine-grained parallel supercomputing applications to be run on a grid, using parallel retrograde analysis on ...
Kees Verstoep, Jason Maassen, Henri E. Bal, John W...
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Advances in network technology continue to improve the communication performance of workstation and PC clusters, making high-performance workstation-clustercomputing increasingly ...