DiscFinder: a data-intensive scalable cluster finder for astrophysics

DiscFinder is a scalable approach for identifying large-scale astronomical structures, such as galaxy clusters, in massive observation and simulation astrophysics datasets. It is designed to operate on datasets with tens of billions of astronomical objects, even in the case when the dataset is much larger than the aggregate memory of compute cluster used for the processing.

• Type: Conference
• Year: 2010
• Where: HPDC
• Authors: Bin Fu, Kai Ren, Julio López, Eugene Fink, Garth Gibson
• Keywords: Distributed And Parallel Computing, HPDC 2010, Large-scale Astronomical Structures, Scalable Approach, Simulation Astrophysics Datasets