Distributed data mining deals with the problem of data analysis in environments with distributed data, computing nodes, and users. Peer-to-peer computing is emerging as a new dist...
Souptik Datta, Kanishka Bhaduri, Chris Giannella, ...
Abstract-- Scheduling problems are already difficult on traditional parallel machines, and they become extremely challenging on heterogeneous clusters. In this paper we deal with t...
Anne Benoit, Loris Marchal, Jean-Francois Pineau, ...
1 Since I/O-intensive tasks running on a heterogeneous cluster need a highly effective usage of global I/O resources, previous CPUor memory-centric load balancing schemes suffer ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
The paper describes design and implementation of software infrastructure for building augmented reality applications for ubiquitous computing environments. Augmented reality is on...
Eiji Tokunaga, Andrej van der Zee, Makoto Kurahash...
The problem of optimal matrix partitioning for parallel linear algebra on p heterogeneous processors is typically reduced to the geometrical problem of partitioning a unit square ...