Analysis of RAPL Energy Prediction Accuracy in a Matrix Multiplication Application on Shared Memory-Reference-Cited by-同舟云学术

Analysis of RAPL Energy Prediction Accuracy in a Matrix Multiplication Application on Shared Memory

Published:2018 Issue: Volume: Page:37-46
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Paniego Juan Manuel,Gallo Silvana,Pi Puig Martín,Chichizola Franco,De Giusti Laura,Balladini Javier

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-75214-3_4

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3. Balladini, J., Rucci, E., De Giusti, A., Naiouf, M., Suppi, R., Rexachs, D., Luque, E.: Power characterisation of shared-memory HPC systems. In: XVIII Argentine Congress of Computer Science Selected Papers. Computer Science & Technology Series, pp. 53–65 (2013)

4. Bircher, W., John, L.: Complete system power estimation using processor performance events. IEEE Trans. Comp. 61(4), 563–577 (2012)

5. Lively, C., Wu, X., Taylor, V., Moore, S., Chang, H., Su, C., Cameron, K.: Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore system. Comput. Sci. Res. Dev. 27(4), 245–253 (2012)

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