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May 9, '22May 9, 2022
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May 12, '22May 12, 2022●(1 event)
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May 15, '22May 15, 2022
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25April 25, 2022
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26April 26, 2022
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27April 27, 2022
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Polaris-tt: Victor Leger – A large dimensional analysis of multi-task semi-supervised classification – Seminar by Martin Schreiber (LJK, Airsea) – Title: A Brief Glimpse on Emerging Time Integration Methods for Weather and Climate Simulations Speaker: Martin Schreiber Abstract: Weather and climate simulations face new challenges due to changes in computer architectures caused by physical limitations. From a pure computing perspective, algorithms are required to cope with stagnating or even decreasing per-core speed and increasing on-chip parallelism. These trends will continue and already led to research on partly disruptive mathematical and algorithmic reformulations of dynamic cores, e.g., using (additional) parallelism along the time dimension. This presentation provides an overview and introduction of a variety of promising newly developed and evaluated time integration methods for equations related to prototypical dynamical cores, all aimed at improving the ratio of wall clock time vs. error: Rational Approximation of Exponential Integration (REXI), Parallel Full Approximation Scheme in Space and Time (PFASST) and Semi-Lagrangian methods combined with Parareal. We get improved time-vs.-error rates, but sometimes with additional challenges on the way which needs to be further overcome. Overall, our results motivate further investigation and combination of these methods for operational weather/climate systems. I gratefully acknowledge collaborators related to this presentation |
29April 29, 2022
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30April 30, 2022
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May1May 1, 2022 |
2May 2, 2022
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3May 3, 2022
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4May 4, 2022
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Polaris-tt: Hugo Lebeau – A random matrix analysis of kernel-based online learning: coping with limited memory resources – Polaris-datamove Seminar: Jonatha Anselmi (Title: Recent advances in load balancing: replication, speculation and auto-scaling) – Title: Recent advances in load balancing: replication, speculation and auto-scaling
Abstract: In this talk, we will discuss modern approaches for load balancing in large-scale parallel-server systems: replication, speculation and auto-scaling. Replication sends multiple copies of a given job, simultaneously upon its arrival, to multiple servers and then uses the results from whichever copy responds first. Speculation sends one or multiple copies of a given job only once the system smartly detects it as a "straggler", i.e., as a job taking longer than expected to complete because of some unfortunate runtime phenomenon. Auto-scaling allows the net service capacity, or overall number of servers, to scale up or down in response to the current load and within the same timescale of job dynamics. We will review the state of the art and present some recent results in the flavour of mean-field and fluid limit theorems. |
6May 6, 2022
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7May 7, 2022
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8May 8, 2022
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9May 9, 2022
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10May 10, 2022
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11May 11, 2022
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Workshop d'axe – |
13May 13, 2022
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14May 14, 2022
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15May 15, 2022
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16May 16, 2022
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17May 17, 2022
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18May 18, 2022
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Polaris-tt: Henry-Joseph Audeoud (title to be annouced) – |
20May 20, 2022
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21May 21, 2022
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22May 22, 2022
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23May 23, 2022
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24May 24, 2022
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25May 25, 2022
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26May 26, 2022
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27May 27, 2022
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28May 28, 2022
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29May 29, 2022
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30May 30, 2022
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31May 31, 2022
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June1June 1, 2022 |
Séminaire Michel Davydov: "Proving the Poisson Hypothesis for Replica-Mean-Field Models" – Title : Proving the Poisson Hypothesis for Replica-Mean-Field Models
Abstract :
Modeling particles or agents as nodes of a network interacting over time is a common approach in a variety of fields. Unfortunately, most relevant dynamics involve complex graphs of interactions for which an exact computational treatment is impossible. To circumvent this difficulty, the replica-mean-field approach focuses on randomly interacting replicas of the networks of interest. In the limit of an infinite number of replicas, these networks become analytically tractable under the so-called Poisson Hypothesis, which postulates that replicas become asymptotically independent and arrivals to a given neuron become Poisson distributed. This hypothesis is often conjectured or numerically validated but not proven. We show the validity of the Poisson Hypothesis for large classes of processes that include for example Galves-Löcherbach models from computational neuroscience. |
3June 3, 2022
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4June 4, 2022
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5June 5, 2022
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6June 6, 2022
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7June 7, 2022
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8June 8, 2022
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Polaris-datamove seminar: "Pierre Gaillard" (Inria). Title: Online portfolio selection – |
10June 10, 2022
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11June 11, 2022
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12June 12, 2022
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These Vitalii Emelianov – |
14June 14, 2022
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15June 15, 2022
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Polaris-datamove seminar: Romain Couillet – |
17June 17, 2022
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18June 18, 2022
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19June 19, 2022
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20June 20, 2022
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21June 21, 2022
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22June 22, 2022
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23June 23, 2022
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24June 24, 2022
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25June 25, 2022
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26June 26, 2022
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27June 27, 2022
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28June 28, 2022
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29June 29, 2022
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Polaris-tt: Dorian Buffière. – Conception de politiques d'auto-scaling pour les platformes "serverless" Batiment IMAG (Room 306) |
July1July 1, 2022 |
2July 2, 2022
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3July 3, 2022
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