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ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
CCGRID
2007
IEEE
14 years 1 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
IPPS
1999
IEEE
13 years 11 months ago
Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance
On many computers, a request to run a job is not serviced immediately but instead is placed in a queue and serviced only when resources are released by preceding jobs. In this pape...
Warren Smith, Valerie E. Taylor, Ian T. Foster
JCM
2007
140views more  JCM 2007»
13 years 7 months ago
A Dynamic Scheduling Algorithm for Divisible Loads in Grid Environments
—Divisible loads are those workloads that can be partitioned by a scheduler into any arbitrary chunks. The problem of scheduling divisible loads has been defined for a long time,...
Nguyen The Loc, Said Elnaffar
CCGRID
2008
IEEE
13 years 9 months ago
A Decentralized and Cooperative Workflow Scheduling Algorithm
In the current approaches to workflow scheduling, there is no cooperation between the distributed workflow brokers and as a result, the problem of conflicting schedules occur. To o...
Rajiv Ranjan, Mustafizur Rahman 0003, Rajkumar Buy...