Runtime and energy constrained work scheduling for heterogeneous systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04556-7.pdf
Reference32 articles.
1. Raca V, Mehofer E (2020) Clustercl: comprehensive support for multi-kernel data-parallel applications in heterogeneous asymmetric clusters. J. Supercomput. 76(12):9976–10008. https://doi.org/10.1007/s11227-020-03234-w
2. Raca V, Mehofer E (2015)Device-sensitive framework for handling heterogeneous asymmetric clusters efficiently. In: 27th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2015, Florianópolis, Brazil, October 17–21, 2015, pp 178–185. https://doi.org/10.1109/SBAC-PAD.2015.15
3. Raca V, Mehofer E, Hudec M (2016) Optimal time and energy efficient work distributions in heterogeneous systems. In: 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Heraklion, Greece, pp 440– 447. https://doi.org/10.1109/PDP.2016.68
4. Liu Q, Luk W (2012) Heterogeneous systems for energy efficient scientific computing. In: 8th International Symposium, ARC 2012, Hong Kong, China, March 19-23, 2012. Proceedings, vol 7199, pp 64–75. https://doi.org/10.1007/978-3-642-28365-9_6
5. Bertsimas D, Weismantel R (2005) Optimization over integers. Athena Scientific, US
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