A parallel compiler scheduler

Mauricio Solar, Mario Inostroza · 2002

This paper presents a static scheduler which selects, from a set of scheduling algorithms, a subset of those which carry out the best assignment of a DAG representing an application program. To make that selection, some characteristics of the DAG, a decision model, and the evaluation parameters for choosing the best solution provided by the selected scheduling algorithms are defined. The selection of the scheduling algorithms is based on five decision levels. At each level, a subset of scheduling algorithms is selected. The final decision is made by carrying out an intersection operation between the subsets. When the scheduler was tested with a series of DAGs having different characteristics, the scheduler's decision was right 95% of the time in those cases in which the number of available processors is known, and 75% of the time when the number of processors is unbounded.

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