Events in May–June 2022
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April 25, 2022
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April 26, 2022
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April 27, 2022
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April 28, 2022(2 events)
Polaris-tt: Victor Leger – A large dimensional analysis of multi-task semi-supervised classificationPolaris-tt: Victor Leger – A large dimensional analysis of multi-task semi-supervised classification – Seminar by Martin Schreiber (LJK, Airsea)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 |
April 29, 2022
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April 30, 2022
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MayMay 1, 2022 |
May 2, 2022
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May 3, 2022
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May 4, 2022
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May 5, 2022(2 events)
Polaris-tt: Hugo Lebeau – A random matrix analysis of kernel-based online learning: coping with limited memory resourcesPolaris-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)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. |
May 6, 2022
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May 7, 2022
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May 8, 2022
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May 9, 2022
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May 10, 2022
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May 11, 2022
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May 12, 2022(1 event)
Workshop d'axeWorkshop d'axe – |
May 13, 2022
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May 14, 2022
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May 15, 2022
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May 16, 2022
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May 17, 2022
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May 18, 2022
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May 19, 2022(1 event)
Polaris-tt: Henry-Joseph Audeoud (title to be annouced)Polaris-tt: Henry-Joseph Audeoud (title to be annouced) – |
May 20, 2022
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May 21, 2022
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May 22, 2022
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May 23, 2022
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May 24, 2022
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May 25, 2022
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May 26, 2022
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May 27, 2022
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May 28, 2022
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May 29, 2022
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May 30, 2022
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May 31, 2022
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JuneJune 1, 2022 |
June 2, 2022(1 event)
Séminaire Michel Davydov: "Proving the Poisson Hypothesis for Replica-Mean-Field Models"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. |
June 3, 2022
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June 4, 2022
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June 5, 2022
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June 6, 2022
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June 7, 2022
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June 8, 2022
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June 9, 2022(1 event)
Polaris-datamove seminar: "Pierre Gaillard" (Inria). Title: Online portfolio selectionPolaris-datamove seminar: "Pierre Gaillard" (Inria). Title: Online portfolio selection – |
June 10, 2022
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June 11, 2022
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June 12, 2022
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June 13, 2022(1 event)
These Vitalii EmelianovThese Vitalii Emelianov – |
June 14, 2022
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June 15, 2022
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June 16, 2022(1 event)
Polaris-datamove seminar: Romain CouilletPolaris-datamove seminar: Romain Couillet – |
June 17, 2022
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June 18, 2022
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June 19, 2022
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June 20, 2022
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June 21, 2022
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June 22, 2022
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June 23, 2022
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June 24, 2022
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June 25, 2022
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June 26, 2022
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June 27, 2022
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June 28, 2022
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June 29, 2022
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June 30, 2022(1 event)
Polaris-tt: Dorian Buffière.Polaris-tt: Dorian Buffière. – Conception de politiques d'auto-scaling pour les platformes "serverless" Batiment IMAG (Room 306) |
JulyJuly 1, 2022 |
July 2, 2022
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July 3, 2022
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