Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
We consider the problem of extracting a river network and a watershed hierarchy from a terrain given as a set of irregularly spaced points. We describe TerraStream, a "pipeli...
Procedural encoding of scattered and unstructured scalar datasets using Radial Basis Functions (RBF) is an active area of research with great potential for compactly representing ...
Manfred Weiler, Ralf P. Botchen, Simon Stegmaier, ...
: Scalable Distributed Data Structures (SDDSs) store large scalable files over a distributed RAM of nodes in a grid or a P2P network. The files scale transparently for the applicat...
Classification of 3D objects remains an important task in many areas of data management such as engineering, medicine or biology. As a common preprocessing step in current approac...