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JSSPP
2005
Springer
14 years 1 months ago
AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs
Irregular and iterative I/O-intensive jobs need a different approach from parallel job schedulers. The focus in this case is not only the processing requirements anymore: memory, ...
Luís Fabrício Wanderley Góes,...
HPDC
2006
IEEE
14 years 1 months ago
Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O
This paper addresses the problem of efficient execution of a batch of data-intensive tasks with batch-shared I/O behavior, on coupled storage and compute clusters. Two scheduling...
Gaurav Khanna 0002, Nagavijayalakshmi Vydyanathan,...
ISHPC
2003
Springer
14 years 25 days ago
Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing
Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (n...
Lars Lundberg, Magnus Broberg, Kamilla Klonowska
GPC
2008
Springer
13 years 8 months ago
Using Moldability to Improve Scheduling Performance of Parallel Jobs on Computational Grid
In a computational grid environment, a common practice is try to allocate an entire parallel job onto a single participating site. Sometimes a parallel job, upon its submission, ca...
Kuo-Chan Huang, Po-Chi Shih, Yeh-Ching Chung
JSSPP
2009
Springer
14 years 2 months ago
Competitive Two-Level Adaptive Scheduling Using Resource Augmentation
Abstract. As multi-core processors proliferate, it has become more important than ever to ensure efficient execution of parallel jobs on multiprocessor systems. In this paper, we s...
Hongyang Sun, Yangjie Cao, Wen-Jing Hsu