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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
Events
Events in July–August 2017
MMonday TTuesday WWednesday TThursday FFriday SSaturday SSunday 26June 26, 201727June 27, 201728June 28, 2017A stochastic approach for optimizing green energy consumption in distributed clouds by Fanny Dufossé (Inria)
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June 29, 2017A stochastic approach for optimizing green energy consumption in distributed clouds
The energy drawn by Cloud data centers is reaching worrying levels, thus inciting providers to install on-site green energy producers, such as photovoltaic panels. Considering distributed Clouds, workload managers need to geographically allocate virtual machines according to the green production in order not to waste energy. In this paper, we propose SAGITTA: a Stochastic Approach for Green consumption In disTributed daTA centers. We show that compared to the optimal solution, SAGITTA consumes 4% more brown energy, and wastes only 3.14% of the available green energy, while a traditional round-robin solution consumes 14.4% more energy overall than optimum, and wastes 28.83% of the available green energy.
Bâtiment IMAG (442)30June 30, 2017July
1July 1, 20172July 2, 20173July 3, 20174July 4, 20175July 5, 2017Séminaire Josu Doncel : Under-Approximation Computation Through Optimal Control
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July 6, 2017Title: Under-Approximation Computation Through Optimal Control
Abstract: Under-approximation provides a subset of the reachable set of an uncertain dynamical system which can then be used to formally falsify properties of quantitative models. Using Pontryagin’s principle, our approach computes an under-approximation for a linear combination of state variables of nonlinear ordinary differential equations and time-varying uncertainties. By a numerical comparison against state-of-the-art tools Flow^∗ and CORA, we show that our methodology provides tight under-approximations in benchmarks, and that it can scale to models that are out of reach with these over-approximation techniques.
Bâtiment IMAG (442)I/O performance for HPC: finding the right access pattern and avoiding interference by Francieli Zanon-Boito
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July 6, 2017Title:
I/O performance for HPC: finding the right access pattern and avoiding interferenceAbstract:
Scientific applications are executed in a high performance computing (HPC) environment, where a parallel file system (PFS) provides access to a shared storage infrastructure. The key characteristic of these systems is the use of multiple storage servers, from where data can be obtained by the clients in parallel. The performance observed by applications when accessing a PFS is directly affected by the way they perform this access, i.e. their access pattern.
In this seminar, I'll discuss my work with the Ondes3D seismic simulation, which was focused into changing the application's access pattern to improve I/O performance without changing the output format. Moreover, I'll discuss my previous and current work on I/O scheduling at different levels of the I/O stack, pointing current challenges for future work.Bâtiment IMAG (442)7July 7, 20178July 8, 20179July 9, 201710July 10, 201711July 11, 201712July 12, 201713July 13, 201714July 14, 201715July 15, 201716July 16, 201717July 17, 201718July 18, 201719July 19, 201720July 20, 201721July 21, 201722July 22, 201723July 23, 201724July 24, 201725July 25, 201726July 26, 201727July 27, 201728July 28, 201729July 29, 201730July 30, 201731July 31, 2017August
1August 1, 20172August 2, 20173August 3, 20174August 4, 20175August 5, 20176August 6, 20177August 7, 20178August 8, 20179August 9, 201710August 10, 201711August 11, 201712August 12, 201713August 13, 201714August 14, 201715August 15, 201716August 16, 201717August 17, 201718August 18, 201719August 19, 201720August 20, 201721August 21, 201722August 22, 201723August 23, 201724August 24, 201725August 25, 201726August 26, 201727August 27, 201728August 28, 201729August 29, 201730August 30, 201731August 31, 2017September
1September 1, 20172September 2, 20173September 3, 2017Meta