52 search results - page 1 / 11 » Scheduling strategies for mixed data and task parallelism on... |
PDP
2003
IEEE
13 years 9 months ago
2003
IEEE
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...
EUROPAR
2004
Springer
13 years 9 months ago
2004
Springer
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...
CCGRID
2005
IEEE
13 years 10 months ago
2005
IEEE
Grid applications require allocating a large number of heterogeneous tasks to distributed resources. A good allocation is critical for efficient execution. However, many existing ...
MIDDLEWARE
2007
Springer
13 years 10 months ago
2007
Springer
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 ...
CCGRID
2006
IEEE
13 years 10 months ago
2006
IEEE
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...