Abstract
Modern processors contain a lot of features to reduce the energy consumption of the chip. The gain of these features highly depends on the workload which is executed. In this work, we investigate the energy consumption of OpenMP applications on the new Intel processor generation, called Haswell. We start with the basic chip characteristics of the chip before we look at automatic energy optimization features. Then, we investigate the energy consumed by load unbalanced applications and present a library to lower the energy consumption for iteratively recurring imbalance patterns. Here, we show that energy savings of up to 20 % are possible without any loss of performance.
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Acknowledgement
Parts of this work were funded by the German Federal Ministry of Research and Education (BMBF) under grant number 01IH13001D (Score-E).
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Wang, B., Schmidl, D., Müller, M.S. (2015). Evaluating the Energy Consumption of OpenMP Applications on Haswell Processors. In: Terboven, C., de Supinski, B., Reble, P., Chapman, B., Müller, M. (eds) OpenMP: Heterogenous Execution and Data Movements. IWOMP 2015. Lecture Notes in Computer Science(), vol 9342. Springer, Cham. https://doi.org/10.1007/978-3-319-24595-9_17
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DOI: https://doi.org/10.1007/978-3-319-24595-9_17
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