June 18, 2020
Giorgio Fabbri (GAEL)
Giorgio Fabbri (GAEL)
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June 18, 2020
TBA
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News
- Journée au vert POLARIS 2022/05/23
- DATAMOVE/POLARIS picnic 2021/06/22
- DATAMOVE/POLARIS BBQ 2019 2019/06/14
- POLARIS Bootcamp (May 2019) 2019/05/24
- slides of Andras Gyorgy 2016/01/15
Next seminars
- 2:00 pm – 3:00 pm, April 30, 2024 – Seminar Rémi Castera
Events
Events in June–July 2020
MMonday TTuesday WWednesday TThursday FFriday SSaturday SSunday June
1June 1, 20202June 2, 20203June 3, 20204June 4, 20205June 5, 20206June 6, 20207June 7, 20208June 8, 20209June 9, 202010June 10, 2020Aurélien Garivier (Postponed due to COVID lockdown)
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June 11, 2020TBA
Bâtiment IMAG (442)12June 12, 202013June 13, 202014June 14, 202015June 15, 2020Stéphan Plassart [PhD defense]: Online Energy Optimization for real-time systems
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June 16, 2020I have the pleasure to announce you my PhD defense, entitled « Online Energy Optimization for real-time systems », which will be held by video-conference.
The members of the jury are:
- Sara Alouf, Researcher hdr, Inria Sophia Antipolis - Méditerranée center, Examinatrice.
- Nathalie Bertrand, Researcher hdr, Inria Rennes-Bretagne Atlantique center, Examinatrice.
- Liliana Cucu-grosjean, Researcher hdr, Inria Paris center, Rapporteure.
- Bruno Gaujal, Research Director, Inria Grenoble Rhône-alpes center, Directeur de thèse.
- Jean-philippe Gayon, Professor, Clermont Auvergne University, Rapporteur.
- Alain Girault, Research Director, Inria Grenoble Rhône-alpes center, Directeur de thèse.
- Florence Maraninchi, Professor, Grenoble-INP, Examinatrice.
- Isabelle Puaut, Professor, Rennes 1 University, Examinatrice.
Abstract: The energy consumption is a crucial issue for real-time systems, that's why optimizing it online, i.e. while the processor is running, has become essential and will be the goal of this thesis. This optimization is done by adapting the processor speed during the job execution. This thesis addresses several situations with different knowledge on past, active and future job characteristics. Firstly, we consider that all job characteristics are known (the offline case), and we propose a linear time algorithm to determine the speed schedule to execute n jobs on a single processor. Secondly, using Markov decision processes, we solve the case where past and active job characteristics are entirely known, and for future jobs only the probability distribution of the jobs characteristics (arrival times, execution times and deadlines) are known. Thirdly we study a more general case: the execution is only discovered when the job is completed. In addition we also consider the case where we have no statistical knowledge on jobs, so we have to use learning methods to determine the optimal processor speeds online. Finally, we propose a feasibility analysis (the processor ability to execute all jobs before its deadline when it works always at maximal speed) of several classical online policies, and we show that our dynamic programming algorithm is also the best in terms of feasibility.
17June 17, 2020Giorgio Fabbri (GAEL)
19June 19, 202020June 20, 202021June 21, 202022June 22, 202023June 23, 202024June 24, 2020PhD defense Dong Quan Vu
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June 25, 202026June 26, 202027June 27, 202028June 28, 202029June 29, 202030June 30, 2020July
1July 1, 2020Seminar: Salah Zrigui
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July 2, 2020Title: Classification of energy profiles of HPC tasks
Abstract: Salah will present how he analyzed, characterized and tried to classify energy consumption traces (time series) of HPC codes running on one of the GRICAD cluster.
3July 3, 20204July 4, 20205July 5, 20206July 6, 20207July 7, 20208July 8, 20209July 9, 202010July 10, 202011July 11, 202012July 12, 202013July 13, 202014July 14, 202015July 15, 202016July 16, 202017July 17, 202018July 18, 202019July 19, 202020July 20, 202021July 21, 202022July 22, 202023July 23, 202024July 24, 202025July 25, 202026July 26, 202027July 27, 202028July 28, 202029July 29, 202030July 30, 202031July 31, 2020August
1August 1, 20202August 2, 2020Meta
