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Optimal parallel processing of random task graphs

✍ Scribed by Zhen Liu; Rhonda Righter


Publisher
Springer US
Year
2001
Tongue
English
Weight
180 KB
Volume
4
Category
Article
ISSN
1094-6136

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✦ Synopsis


We consider scheduling of tasks of parallel programs on multiprocessor systems where tasks have precedence relations and synchronization points. The task graph structures are random variables in the sense that successors to a task do not become known until the task is executed. Thus, as is often the case with parallel processing, scheduling must occur at run time rather than compile time. We prove that a simple scheduling policy stochastically minimizes the processes of task completions and job (i.e. set of parallel tasks) completions for several classes of task graph structures.


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