Understanding the impact of task granularity in the energy consumption of parallel programs
Authors
Abstract
Abstract Recently, there is a concern about reducing the energy consumption of data centers and clusters for economical and environmental reasons. Furthermore, energy consumption on mobile devices is also important to improve battery life. In this work we address the performance-energy trade-off on shared-memory multicore devices in parallel programs. In particular, we assess the impact of task granularity in performance and energy consumption. Our aim is to give programmers the knowledge they need to understand how to maximize …
Journal
Sustainable Computing: Informatics and Systems 2017
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