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» Optimizing for parallelism and data locality
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CCGRID
2008
IEEE
15 years 8 months ago
Scheduling of Scientific Workflows on Data Grids
Selection of resources for execution of scientific workflows in data grids becomes challenging with the exponential growth of files as a result of the distribution of scientific e...
Suraj Pandey, Rajkumar Buyya
ICDE
2004
IEEE
85views Database» more  ICDE 2004»
16 years 7 months ago
GODIVA: Lightweight Data Management for Scientific Visualization Applications
Scientific visualization applications are very dataintensive, with high demands for I/O and data management. Developers of many visualization tools hesitate to use traditional DBM...
Xiaosong Ma, Marianne Winslett, John Norris, Xiang...
PVM
2005
Springer
15 years 11 months ago
Cooperative Write-Behind Data Buffering for MPI I/O
Many large-scale production parallel programs often run for a very long time and require data checkpoint periodically to save the state of the computation for program restart and/o...
Wei-keng Liao, Kenin Coloma, Alok N. Choudhary, Le...
MSS
2003
IEEE
90views Hardware» more  MSS 2003»
15 years 11 months ago
NSM: A Distributed Storage Architecture for Data-Intensive Applications
: Several solutions have been developed to provide dataintensive applications with the highest possible data rates. Such solutions tried to utilize the available network resources ...
Zeyad Ali, Qutaibah M. Malluhi
SKG
2006
IEEE
16 years 5 days ago
Hierarchical Multicast Tree Algorithms of Data Grid
Data Grid is one of the important research subjects in the field of Grid Computing. To get a high efficiency of the system, this paper proposes a set of novel multicast algorithms...
Weijia Jia, Qingfeng Fan, Qiongli Wu, Yanxiang He