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. ...
In the past decade cluster computing platforms have been widely applied to support a variety of scientific and commercial applications, many of which are parallel in nature. Howev...
Scheduling in large switches is challenging. Arbiters must operate at high rates to keep up with the high switching rates demanded by multi-gigabit-per-second link rates and short...
Wladek Olesinski, Nils Gura, Hans Eberle, Andres M...
: Parallel database systems aim at providing high throughput for OLTP transactions as well as short response times for complex and data-intensive queries. Shared nothing systems re...
Scalability to large number of processes is one of the weaknesses of current MPI implementations. Standard implementations are able to scale to hundreds of nodes, but no beyond th...
Felix Freitag, Jordi Caubet, Montse Farreras, Toni...