d Abstract) Luboˇs Brim and Jiˇr´ı Barnat Faculty of Informatics, Masaryk University, Brno, Czech Republic With the increase in the complexity of computer systems, it becomes e...
This paper discusses fast parallel algorithms for evaluating several centrality indices frequently used in complex network analysis. These algorithms have been optimized to exploi...
This paper presents a parallel visualization pipeline implemented at the Pittsburgh Supercomputing Center (PSC) for studying the largest earthquake simulation ever performed. The ...
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Studies have shown much of today’s data centers are over-provisioned and underutilized. Over-provisioning cannot be avoided as these centers must anticipate peak load with burst...
In Hwan Doh, Young Jin Kim, Jung Soo Park, Eunsam ...