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Data-Flow Awareness in Parallel Data Processing

Publication at Faculty of Mathematics and Physics |
2012

Abstract

The memory hierarchy affects the performance of task-scheduling strate- gies in task-based parallel environments. For data-intensive problems, the flow of data may be explicitly specified as a part of the algorithm, allowing the task scheduler to be aware of the data flow.

In this paper, we describe such a task-based environment with explicit data-flow specification.We demonstrate the effect of data-flow awareness on the system performance. The results show that the explicit specification of data flow improves the quality of task scheduling.