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» Scalable Performance of the Panasas Parallel File System
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2002
IEEE
15 years 3 months ago
File and Object Replication in Data Grids
Data replication is a key issue in a Data Grid and can be managed in different ways and at different levels of granularity: for example, at the file level or object level. In the ...
Heinz Stockinger, Asad Samar, Koen Holtman, Willia...
IPPS
1996
IEEE
15 years 8 months ago
Benefits of Processor Clustering in Designing Large Parallel Systems: When and How?
Advances in multiprocessor interconnect technologyare leading to high performance networks. However, software overheadsassociated with message passing are limiting the processors ...
Debashis Basak, Dhabaleswar K. Panda, Mohammad Ban...
IPPS
2010
IEEE
15 years 2 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...
HIPC
2009
Springer
15 years 1 months ago
Highly scalable algorithm for distributed real-time text indexing
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
IPPS
2007
IEEE
15 years 10 months ago
High Performance Java Sockets for Parallel Computing on Clusters
The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently...
Guillermo L. Taboada, Juan Touriño, Ramon D...