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CCGRID
2005
IEEE
14 years 4 months ago
Task scheduling strategies for workflow-based applications in grids
Grid applications require allocating a large number of heterogeneous tasks to distributed resources. A good allocation is critical for efficient execution. However, many existing ...
James Blythe, S. Jain, Ewa Deelman, Yolanda Gil, K...
ICPADS
2010
IEEE
13 years 8 months ago
Data-Aware Task Scheduling on Multi-accelerator Based Platforms
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...
Cédric Augonnet, Jérôme Clet-O...
LCPC
2000
Springer
14 years 1 months ago
Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP
This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...
Hironori Kasahara, Motoki Obata, Kazuhisa Ishizaka
CISIS
2011
IEEE
12 years 10 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
IPPS
2009
IEEE
14 years 5 months ago
Guiding performance tuning for grid schedules
Grid jobs often consist of a large number of tasks. If the performance of a statically scheduled grid job is unsatisfactory, one must decide which code of which task should be imp...
Jörg Keller, Wolfram Schiffmann