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HIPC
2003
Springer
14 years 1 months ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
PDP
2010
IEEE
14 years 1 months ago
Load Balancing Algorithms with Partial Information Management for the DLML Library
Abstract—Load balancing algorithms are an essential component of parallel computing reducing the response time of applications. Frequently, balancing algorithms have a centralize...
Juan Santana-Santana, Miguel A. Castro-Garcí...
EUROPAR
2004
Springer
14 years 2 months ago
From Heterogeneous Task Scheduling to Heterogeneous Mixed Parallel Scheduling
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
Frédéric Suter, Frederic Desprez, He...
INFOCOM
2003
IEEE
14 years 1 months ago
Exploiting Parallelism to Boost Data-Path Rate in High-Speed IP/MPLS Networking
Abstract—Link bundling is a way to increase routing scalability whenever a pair of Label Switching Routers in MPLS are connected by multiple parallel links. However, link bundlin...
Indra Widjaja, Anwar Elwalid
JPDC
2006
185views more  JPDC 2006»
13 years 8 months ago
Commodity cluster-based parallel processing of hyperspectral imagery
The rapid development of space and computer technologies has made possible to store a large amount of remotely sensed image data, collected from heterogeneous sources. In particul...
Antonio Plaza, David Valencia, Javier Plaza, Pablo...