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» Mechanisms for Mapping High-Level Parallel Performance Data
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SAINT
2007
IEEE
15 years 7 months 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 1 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 6 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
15 years 7 months 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»
15 years 7 months 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...