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» On Advantages of Grid Computing for Parallel Job Scheduling
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HPDC
2010
IEEE
13 years 10 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...
SEKE
2007
Springer
14 years 2 months ago
Improving Separation of Concerns in the Development of Scientific Applications
High performance computing (HPC) is gaining popularity in solving scientific applications. Using the current programming standards, however, it takes an HPC expert to efficiently ...
Seyed Masoud Sadjadi, J. Martínez, T. Soldo...
ISORC
2008
IEEE
14 years 3 months ago
CROWN: A Service-Oriented Grid Middleware System: Experience and Applications
Grid computing has emerged as a new paradigm of distributed computing technology on large-scale resource sharing and coordinated problem solving. Based on a proposed Web service-b...
Jinpeng Huai, Chunming Hu, Tianyu Wo, Jianxin Li
SC
2004
ACM
14 years 2 months ago
Collaborative User-Centric Lambda-Grid over Wavelength-Routed Network
Emerging lambda-Grid systems employ wavelength-routed network with optical switches to enable dynamic on-demand lightpaths with multi-gigabit rate bandwidth to interconnect shared...
Oliver T. Yu, Thomas A. DeFanti
ISCAPDCS
2004
13 years 10 months ago
FG: A Framework Generator for Hiding Latency in Parallel Programs Running on Clusters
FG is a programming environment for asynchronous programs that run on clusters and fit into a pipeline framework. It enables the programmer to write a series of synchronous functi...
Thomas H. Cormen, Elena Riccio Davidson