PDE solvers using Adaptive Mesh Refinement on block structured grids are some of the most challenging applications to adapt to massively parallel computing environments. We descr...
Brian van Straalen, John Shalf, Terry J. Ligocki, ...
In this paper, we explore the market-based grid resource trading system from the social perspective and the collaborative computing perspective. We firstly introduce a novel fram...
The grid computing paradigm emerged recently as a new field distinguished from traditional distributed computing because of its focus on large-scale resource sharing and innovativ...
Giovanni Aloisio, Massimo Cafaro, Italo Epicoco, D...
In this paper we present an adaptive but robust object
detector for static cameras by introducing classifier grids.
Instead of using a sliding window for object detection we
pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
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. ...