CERN Accélérateur de science

IT Slides

Derniers ajouts:
2018-09-18
17:24
Trident: Automated system tool for collecting and analyzing hardware performance counters / Muralidharan, Servesh (CERN) ; Smith, David (CERN)
Trident, a tool to use low level metrics derived from hardware counters to understand Core, Memory and I/O utilisation and bottlenecks. The collection of time series of these low level counters does not induce significant overhead to the execution of the application. [...]
IT-TALK-2018-005.- Geneva : CERN, 2018 Fulltext: PPTX;
In : 7th Joint Meeting of the HEPiX and HEPNT Groups, Batavia, IL, USA, 22 - 25 Oct 2002 In : HEPiX Spring 2018

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2018-09-07
12:14
Behind the scenes perspective: Into the abyss of profiling for performance / Muralidharan, Servesh (CERN) ; Smith, David (CERN)
This lecture is an introduction to profiling a system or individual programs. We will concentrate on profiling to understand aspects of program performance [...]
IT-TALK-2018-004.- Geneva : CERN, 2018 Fulltext: Profiling for performance in pdf - PDF; Profiling for performance - PPTX; In : GridKa 2018

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2018-07-25
10:31
The obsolescence of Information and Information Systems / Le Meur, Jean-Yves (CERN)
In 2016 was started the CERN Digital Memory project with the main goal of preventing loss of historical content produced by the organisation. The first step of the project was targeted to address the risk of deterioration of the most vulnerable materials, mostly the multimedia assets created in analogue formats from 1954 to the late 1990's, like still and moving images kept on magnetic carriers. [...]
IT-TALK-2018-003.- Geneva : CERN, 2018 Fulltext: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018

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2018-07-19
14:37
Return of the Repository Rodeo / Wilcox, David (DuraSpace) ; Fyson, Will (University of Southhampton) ; Nielsen, Lars Holm (CERN) ; Jordan, Mark (Simon Fraser University) ; Bussey, Mark (Data Curation Experts) ; Walsh, Maureen (The Ohio State University) ; Pope, Este (Amherst College)
The Repository Rodeo returns for another round of questions and answers! This popular panel, featured at both OR2016 and OR2017, offers a broad overview of the main repository platforms at Open Repositories and provides an opportunity for spirited discussion amongst panelists and attendees. Join representatives from the Dataverse, DSpace, Eprints, Fedora, Islandora, Invenio, and Samvera communities as we (briefly) explain what each of our repositories actually does. [...]
IT-TALK-2018-002.- Geneva : CERN, 2018 Fulltext: PDF; In : Open Repositories 2018

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2018-07-19
14:06
File loss: hits and near misses / Ioannidis Pantopikos, Alexandros (CERN) ; Nielsen, Lars Holm (CERN) ; Nowak, Krzysztof ; Bigarella, Chiara (CERN)
Repositories increasingly depend on external cloud storage or other complex distributed systems in order to satisfy ever-growing needs for storing larger data volumes. The cloud system helps repository manages store terabytes and petabytes of data, and often simplifies the file management in the underlying repository software. [...]
IT-TALK-2018-001.- Geneva : CERN, 2018 Fulltext: PDF; In : Open Repositories 2018

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2018-03-26
11:19
Computing challenges in HEP for WLHC grid / Muralidharan, Servesh (CERN)
As CERN moves towards preparation for increasing the luminosity of the particle beam towards HL-LHC, predictions shows computing demand would out grow our conservative scaling estimates by over ten times. Fortunately we are talking about a time scale of roughly ten years to develop new techniques and novel solutions to address this gap in compute resources. [...]
IT-TALK-2017-008.- Geneva : CERN, 2017 Fulltext: PPTX; In : HiPC

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2017-07-05
17:45
Preserving and reusing high-energy-physics data analyses / Simko, Tibor (CERN) ; Dallmeier-Tiessen, Sunje (CERN) ; Dasler, Robin (CERN) ; Fokianos, Pamfilos (CERN) ; Kuncar, Jiri (CERN) ; Lavasa, Artemis (CERN) ; Mattmann, Annemarie (CERN) ; Rodriguez, Diego (CERN) ; Trzcinska, Anna (CERN) ; Tsanaktsidis, Ioannis (CERN)
The revalidation, reuse and reinterpretation of data analyses require having access to the original virtual environments, datasets and software that was used to produce the original scientific result. The CERN Analysis Preservation pilot project is developing a set of tools that support particle physics researchers in preserving the knowledge around analyses so that capturing, sharing, reusing and reinterpreting data becomes easier. [...]
IT-TALK-2017-007.- Geneva : CERN, 2017 Fulltext: PDF; In : Open Repositories 2007

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2017-07-05
17:39
Repository Rodeo Redux / Anez, Melissa (Islandora Foundation) ; Cramer, Tom (Stanford) ; Donohue, Tim (Duraspace) ; Fyson, Will (University of Southampton) ; Simko, Tibor (CERN) ; Wilcox, David (DuraSpace)
You’ve got more repository questions and we’ve got more answers! Last year’s Repository Rodeo panel was a huge success, so we’re taking the show on the road to Brisbane for OR2017. Join representatives from the DSpace, Eprints, Fedora, Hydra, and Islandora communities as we (briefly) explain what each of our repositories actually does. [...]
IT-TALK-2017-006.- Geneva : CERN, 2017 Fulltext: PDF; In : Open Repositories 2017

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2017-06-12
12:59
Manila on CephFS at CERN / Wiebalck, Arne (CERN)
In response to the user demand for a light-weight provisioning of distributed file system shares, the OpenStack and Ceph teams at CERN have recently added Manila/CephFS to their service catalogues. While leveraging the operational experience with a 190'000 core OpenStack deployment and a 12 PB Ceph cluster for such a self-service kiosque suggested itself, the service design and setup phases were followed by a number of functionality and stress tests to ensure the individual components are ready for production use. [...]
IT-TALK-2017-005.- Geneva : CERN, 2017 Fulltext: PPTX; In : OpenStack Summit

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2017-05-11
15:57
Towards Reproducible Research Data Analyses in LHC Particle Physics / Simko, Tibor (CERN)
The reproducibility of the research data analysis requires having access not only to the original datasets, but also to the computing environment, the analysis software and the workflow used to produce the original results. We present the nascent CERN Analysis Preservation platform with a set of tools developed to support particle physics researchers in preserving the knowledge around analyses so that capturing, sharing, reusing and reinterpreting data becomes easier. [...]
IT-TALK-2017-004.- Geneva : CERN, 2017 Fulltext: PDF; In : ILIDE2017

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