Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...
A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
Fast hardware turnover in supercomputing centers, stimulated by rapid technological progress, results in high heterogeneity among HPC platforms, and necessitates that applications...
—A key benefit of utility data centers and cloud computing infrastructures is the level of consolidation they can offer to arbitrary guest applications, and the substantial savi...
Mukil Kesavan, Adit Ranadive, Ada Gavrilovska, Kar...