Sciweavers

Share
52 search results - page 1 / 11
» Scheduling strategies for mixed data and task parallelism on...
Sort
View
PDP
2003
IEEE
12 years 5 months ago
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Olivier Beaumont, Arnaud Legrand, Yves Robert
EUROPAR
2004
Springer
12 years 5 months ago
From Heterogeneous Task Scheduling to Heterogeneous Mixed Parallel Scheduling
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
Frédéric Suter, Frederic Desprez, He...
CCGRID
2005
IEEE
12 years 5 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...
MIDDLEWARE
2007
Springer
12 years 6 months ago
New Worker-Centric Scheduling Strategies for Data-Intensive Grid Applications
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Steven Y. Ko, Ramsés Morales, Indranil Gupt...
CCGRID
2006
IEEE
12 years 6 months ago
SAHA: A Scheduling Algorithm for Security-Sensitive Jobs on Data Grids
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
Tao Xie 0004, Xiao Qin
books