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» Mechanisms for Mapping High-Level Parallel Performance Data
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SAINT
2007
IEEE
16 years 9 days ago
Data Management on Grid Filesystem for Data-Intensive Computing
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Hitoshi Sato, Satoshi Matsuoka
HPCA
2004
IEEE
16 years 6 months ago
Signature Buffer: Bridging Performance Gap between Registers and Caches
Data communications between producer instructions and consumer instructions through memory incur extra delays that degrade processor performance. In this paper, we introduce a new...
Lu Peng, Jih-Kwon Peir, Konrad Lai
JSSPP
2005
Springer
15 years 11 months ago
AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs
Irregular and iterative I/O-intensive jobs need a different approach from parallel job schedulers. The focus in this case is not only the processing requirements anymore: memory, ...
Luís Fabrício Wanderley Góes,...
HPDC
2007
IEEE
16 years 10 days ago
Direct-pNFS: scalable, transparent, and versatile access to parallel file systems
Grid computations require global access to massive data stores. To meet this need, the GridNFS project aims to provide scalable, high-performance, transparent, and secure wide-are...
Dean Hildebrand, Peter Honeyman
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
16 years 10 days ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...