Thermal design power and vectorized instructions behavior

Author:

Guermouche Amina1ORCID,Orgerie Anne‐Cécile2ORCID

Affiliation:

1. Télécom SudParis Institut Polytechnique de Paris Evry France

2. Inria, CNRS, IRISA University of Rennes Rennes France

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference30 articles.

1. TOP500 Supercomputer site.http://www.top500.org.

2. CebrianJM NatvigL MeyerJC. Improving energy efficiency through parallelization and vectorization on Intel core i5 and i7 processors. Paper presented at: Proceedings of the International Conference for High Performance Computing Networking Storage and Analysis. Salt Lake City Utah; November 10 2012:675‐684; IEEE.https://doi.org/10.1109/SC.Companion.2012.93.

3. IntelRRR XeonRRR processor E5 v4 product family. Thermal mechanical specification and design guide;2017.

4. IntelRRR XeonRRR processor E5 v3 product family. specification update;2017.

5. Performance and energy consumption of a Gram–Schmidt process for vector orthogonalization on a processor integrated GPU;Jakobs T;Sustain Comput Inform Syst,2020

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