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CCGRID
2008
IEEE
16 years 19 days ago
Experiences with Fine-Grained Distributed Supercomputing on a 10G Testbed
This paper shows how lightpath-based networks can allow challenging, fine-grained parallel supercomputing applications to be run on a grid, using parallel retrograde analysis on ...
Kees Verstoep, Jason Maassen, Henri E. Bal, John W...
CCGRID
2010
IEEE
15 years 3 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
ICCS
2004
Springer
15 years 11 months ago
Using Runtime Measurements and Historical Traces for Acquiring Knowledge in Parallel Applications
Abstract. A new approach for acquiring knowledge of parallel applications regarding resource usage and for searching similarity on workload traces is presented. The main goal is to...
Luciano José Senger, Marcos José San...
IPPS
2010
IEEE
15 years 4 months ago
Using focused regression for accurate time-constrained scaling of scientific applications
Many large-scale clusters now have hundreds of thousands of processors, and processor counts will be over one million within a few years. Computational scientists must scale their ...
Bradley J. Barnes, Jeonifer Garren, David K. Lowen...
IPPS
1998
IEEE
15 years 10 months ago
High Performance Data Mining Using Data Cubes on Parallel Computers
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Sanjay Goil, Alok N. Choudhary