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ICTAI
2006
IEEE
16 years 26 days ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
SC
2003
ACM
16 years 2 days ago
Job Superscheduler Architecture and Performance in Computational Grid Environments
Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major ...
Hongzhang Shan, Leonid Oliker, Rupak Biswas
IPPS
2010
IEEE
15 years 4 months ago
PreDatA - preparatory data analytics on peta-scale machines
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to scien...
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lo...
CERA
2010
105views more  CERA 2010»
15 years 7 months ago
Implications of Alternative Multilevel Design Methods for Design Process Management
Multilevel design problems are typically decomposed into a hierarchy of distributed and strongly coupled sub-problems, each solved by design teams with specialized knowledge and t...
David Shahan, Carolyn Seepersad Seepersad
CLOUDCOM
2009
Springer
15 years 10 months ago
Decentralized Service Allocation in a Broker Overlay Based Grid
Abstract. Grid computing is based on coordinated resource sharing in a dynamic environment of multi-institutional virtual organizations. Data exchanges, and service allocation, are...
Abdulrahman Azab, Hein Meling