Clusters of workstations have emerged as a popular platform for parallel and distributed computing. Commodity high speed networks which are used to connect workstation clusters pr...
Vijay Moorthy, Matthew G. Jacunski, Manoj Pillai, ...
In our research project named “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, we have been developing a prototype cluster not based on ASIC or FPGA...
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. ...
With applications becoming larger and the increasing load on high performance systems, it is important to tackle the I/O bottleneck problem from several angles. It is not only ess...
Murali Vilayannur, Mahmut T. Kandemir, Anand Sivas...
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...