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SKG
2006
IEEE
14 years 1 months ago
Abox Inference for Large Scale OWL-Lite Data
Abox inference is an important part in OWL data management. When involving large scale of instance data, it can not be supported by existing inference engines. In this paper, we p...
Xiaofeng Wang, Jianbo Ou, Xiaofeng Meng, Yan Chen
GRID
2006
Springer
13 years 7 months ago
Personal Workspace for Large-Scale Data-Driven Computational Experiment
1 -- As the scale and complexity of data-driven computational science grows, so grows the burden on the scientists and students in managing the data products used and generated dur...
Yiming Sun, Scott Jensen, Sangmi Lee Pallickara, B...
JPDC
2011
219views more  JPDC 2011»
13 years 2 months ago
BlobSeer: Next-generation data management for large scale infrastructures
As data volumes increase at a high speed in more and more application fields of science, engineering, information services, etc., the challenges posed by data-intensive computing...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé,...
IPPS
2006
IEEE
14 years 1 months ago
Lossless compression for large scale cluster logs
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
R. Balakrishnan, Ramendra K. Sahoo
HPCA
2002
IEEE
14 years 7 months ago
The Minimax Cache: An Energy-Efficient Framework for Media Processors
This work is based on our philosophy of providing interlayer system-level power awareness in computing systems [26, 27]. Here, we couple this approach with our vision of multipart...
Osman S. Unsal, Israel Koren, C. Mani Krishna, Csa...