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Abstract

In this book, we have focused on two of the most relevant problems related to power management on multicore and manycore systems, specifically, performance optimization under power/thermal constraints and energy minimization under performance constraints.

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References

  1. Kanduri, A., Haghbayan, M.H., Rahmani, A.M., Liljeberg, P., Jantsch, A., Tenhunen, H.: Dark silicon aware runtime mapping for many-core systems: A patterning approach. In: 33rd IEEE International Conference on Computer Design (ICCD), pp. 573–580 (2015). https://doi.org/10.1109/ICCD.2015.7357167

  2. Rahmani, A.M., Haghbayan, M.H., Kanduri, A., Weldezion, A.Y., Liljeberg, P., Plosila, J., Jantsch, A., Tenhunen, H.: Dynamic power management for many-core platforms in the dark silicon era: A multi-objective control approach. In: IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), pp. 219–224 (2015). https://doi.org/10.1109/ISLPED.2015.7273517

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  4. Yang, L., Liu, W., Jiang, W., Li, M., Yi, J., Sha, E.H.M.: FoToNoC: A hierarchical management strategy based on folded lorus-like network-on-chip for dark silicon many-core systems. In: 21st Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 725–730 (2016)

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Correspondence to Santiago Pagani .

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Pagani, S., Chen, JJ., Shafique, M., Henkel, J. (2018). Conclusions. In: Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores. Springer, Cham. https://doi.org/10.1007/978-3-319-77479-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-77479-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77478-7

  • Online ISBN: 978-3-319-77479-4

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