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CCGRID
2001
IEEE
15 years 10 months ago
TACO-Exploiting Cluster Networks for High-Level Collective Operations
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed data parallel processing by means of reusable topology classes and C++ s. This p...
Jörg Nolte, Mitsuhisa Sato, Yutaka Ishikawa
BMCBI
2008
108views more  BMCBI 2008»
15 years 6 months ago
SPRINT: A new parallel framework for R
Background: Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of t...
Jon Hill, Matthew Hambley, Thorsten Forster, Murie...
PVLDB
2010
146views more  PVLDB 2010»
15 years 1 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
NOMS
2000
IEEE
176views Communications» more  NOMS 2000»
15 years 10 months ago
Design and analysis of a proactive application management system (PAMS)
Management of large-scale Network-Centric Systems (NCS) and their applications is an extremely complex and challenging task due to factors such as centralized management architect...
Salim Hariri, Yoonhee Kim
COMPGEOM
2006
ACM
15 years 10 months ago
I/O-efficient batched union-find and its applications to terrain analysis
Despite extensive study over the last four decades and numerous applications, no I/O-efficient algorithm is known for the union-find problem. In this paper we present an I/O-effic...
Pankaj K. Agarwal, Lars Arge, Ke Yi