CERN Accelerating science

Video Lectures

Ultimi arrivi:
2019-02-18
13:44
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EOS as storage back-end for JRC scientific data processing / Burger, Armin (speaker) (European Commission - Joint Research Centre)
The Joint Research Centre (JRC) of the European Commission has set up the JRC Earth Observation Data and Processing Platform (JEODPP) as an infrastructure to enable the JRC projects to process and analyze big geospatial data in support to EU policy needs. This platform is built upon commodity hardware and has become fully operational mid 2016, with platform extensions in 2017 and 2018. [...]
2019 - Streaming video. HEP Computing; EOS workshop External links: Talk details; Event details In : EOS workshop

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2019-02-18
13:41
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CMS Awards and CB Report / Kasemann, Matthias (speaker) (Deutsches Elektronen-Synchrotron Hamburg (DE))
2019 - Streaming video. CMS WEEKS - Reviews (AR and LHCC CR); CMS Week Agenda 4.02.2019 - 8.02.2019 External links: Talk details; Event details In : CMS Week Agenda 4.02.2019 - 8.02.2019

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2019-02-18
13:39
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EOS using docker and expirience / Vala, Martin (speaker) (Technical University of Kosice (SK))
Talk will present update on automatic tool to configure/update EOS storage using docker (eos-docker-utils). Currently plain EOS and ALICE EOS storage configurations are supported. [...]
2019 - Streaming video. HEP Computing; EOS workshop External links: Talk details; Event details In : EOS workshop

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2019-02-16
16:02
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Quantum information aspects of Quantum Fields and Gravity 1 / Faulkner, Thomas (speaker)
2019 - Streaming video. Conferences & Workshops; CERN Winter School on Supergravity, Strings and Gauge Theory 2019 External links: Talk details; Event details In : CERN Winter School on Supergravity, Strings and Gauge Theory 2019

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2019-02-16
16:02
Restricted
SCT + IDgen status report / Lewis, Daniel James (speaker) (U of Birmingham)
2019 - 0:12:10. ATLAS Collaboration Weeks; ATLAS Collaboration Week External links: Talk details; Event details In : ATLAS Collaboration Week

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2019-02-16
16:02
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EOS at the Fermilab LPC Physics Center / Szkola, Dan (speaker) (Fermi National Accelerator Lab. (US))
We report on current experiences and challenges with running an EOS instance for use by the Fermilab LHC Physics Center (LPC) computing cluster. The LPC cluster is a 4500-core user analysis cluster with 7 PB of EOS storage which is an increase of about 40% over the last year. [...]
2019 - Streaming video. HEP Computing; EOS workshop External links: Talk details; Event details In : EOS workshop

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2019-02-16
16:02
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Discussion
2019 - Streaming video. Conferences & Workshops; CERN Winter School on Supergravity, Strings and Gauge Theory 2019 External links: Talk details; Event details In : CERN Winter School on Supergravity, Strings and Gauge Theory 2019

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2019-02-16
14:54
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LS2 Plans / Ball, Austin (speaker) (CERN)
2019 - Streaming video. CMS WEEKS - Reviews (AR and LHCC CR); CMS Week Agenda 4.02.2019 - 8.02.2019 External links: Talk details; Event details In : CMS Week Agenda 4.02.2019 - 8.02.2019

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2019-02-16
14:35
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EOSHOME Backup Prototype using restic / Valverde Cameselle, Roberto (speaker) (Universidad de Oviedo (ES))
EOS Home (CERNBox) has now more than 16K users and more than 500Mil files which are backed up every day using a set of scheduled scripts. The process of restoring the data is currently an internal process and requires a lot of manual work. [...]
2019 - Streaming video. HEP Computing; EOS workshop External links: Talk details; Event details In : EOS workshop

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2019-02-16
13:52
Machine learning applications in Gravitational Wave research to classify transient signals / Cuoco, Elena (speaker) (EGO-European Gravitational Observatory)
Most of the data collected by Gravitational Wave (GW) interferometers are essentially background noise containing many noise transient signals, which has to be analyzed in a fast and efficient way to increase the detection confidence and to obtain information about likely noise sources. Characterizing the noise transient signals (glitches) is an important task to reduce the impact of transient noise on the detectors. Inspecting glitches manually is a time-consuming and error-prone task and the increase of sensitivity in advanced detectors will lead to more classes of glitches. [...]
2019 - 0:49:57. EP-IT Data science seminars External link: Event details In : Machine learning applications in Gravitational Wave research to classify transient signals

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