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EnglishMany modern computing platforms are "task-hungry": Their performance is enhanced by always having as many tasks available for execution as possible. IC-scheduling, a master-worker framework for executing static computations that have intertask dependencies (modeled as dags), was developed with precisely the goal of rendering a computation-dag's tasks eligible for execution at the maximum possible rate. The current paper addresses the problem of enhancing IC-scheduling so that it can accommodate the varying computational resources of different workers, by clustering a computation-dag's tasks, while still producing eligible (now, clustered) tasks at the maximum possible rate. The task-clustering strategies presented exploit the structure of the computation being performed, ranging from a strategy that works for any dag, to ones that build increasingly on the explicit structure of the dagbeing scheduled.
| Titolo: | On clustering DAGs for task-hungry computing platforms |
| Autori: | |
| Data di pubblicazione: | 2011 |
| Rivista: | |
| Handle: | http://hdl.handle.net/11591/404362 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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