Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
This paper presents a locality-based dissemination graph algorithm for scalable reliable broadcast. Our algorithm scales in terms of both network and memory usage. Processes only h...
M. Brahami, Patrick Th. Eugster, Rachid Guerraoui,...
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
With multicore architectures being introduced to the market, the research community is revisiting problems to evaluate them under the new preconditions set by those new systems. A...
Traditional parallel programming styles have many problems which hinder the development of parallel applications. The message passing style can be too complex for many programmers...