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» Distributed Data Structure Design for Scientific Computation
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105
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HPDC
2010
IEEE
15 years 1 months ago
A data transfer framework for large-scale science experiments
Modern scientific experiments can generate hundreds of gigabytes to terabytes or even petabytes of data that may furthermore be maintained in large numbers of relatively small fil...
Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian...
99
Voted
HPCC
2007
Springer
15 years 6 months ago
PARMI: A Publish/Subscribe Based Asynchronous RMI Framework for Cluster Computing
This paper presents a publish/subscribe based asynchronous remote method invocation framework (PARMI) aiming to improve performance and programming flexibility. PARMI enables high-...
Heejin Son, Xiaolin Li
108
Voted
CSUR
2006
121views more  CSUR 2006»
15 years 15 days ago
A taxonomy of Data Grids for distributed data sharing, management, and processing
Data Grids have been adopted as the next-generation platform by many scientific communities that need to share, access, transport, process and manage large data collections distri...
Srikumar Venugopal, Rajkumar Buyya, Kotagiri Ramam...
PARELEC
2006
IEEE
15 years 6 months ago
Scientific Programming for Heterogeneous Systems - Bridging the Gap between Algorithms and Applications
High performance computing in heterogeneous environments is a dynamically developing area. A number of highly efficient heterogeneous parallel algorithms have been designed over l...
Alexey L. Lastovetsky
EGC
2005
Springer
15 years 6 months ago
GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments
Abstract. The promise of the grid is that it will enable public access and sharing of immense amounts of computational and data resources among dynamic coalitions of individuals an...
Chris Mattmann, Sam Malek, Nels Beckman, Marija Mi...