CERN openlab Technical Workshop

Name: CERN openlab Technical Workshop
Start: 2019-01-23T09:30:00+01:00
End: 2019-01-24T17:40:00+01:00
Location: CERN

Jan 23, 2019, 9:30 AM → Jan 24, 2019, 5:40 PM Europe/Zurich

503/1-001 - Council Chamber (CERN)

503/1-001 - Council Chamber

CERN

162

Show room on map

Maria Girone (CERN)

Description

During this event — which will take place over two days — we will review the CERN openlab projects carried out in the first year of our sixth three-year phase, with technical discussion of recent progress made.

Talks will be organised into sessions focused on the four R&D topics set out in CERN openlab's recent white paper: (1) data centre technologies and infrastructures, (2) computing performance and software, (3) machine learning and data analytics, (4) applications in disciplines beyond high-energy physics. There will be an additional fifth session of talks at the workshop, centred on the topic of quantum computing.

The latest technical posters from the CERN openlab projects will also be presented at the event.

Participants

Ahmad Hesam
Aimilios Tsouvelekakis
Alberto Aimar
Alessandro Raimondo
Alexey Fishkin
Amy Bilton
Andrea Manzi
Andreas Alexopoulos
Andrew Robert Purcell
Anna Zaborowska
Anthony Hennessey
Antonio Nappi
Ben Segal
Benedikt Würkner
Benjamin Frisch
BİRANT BARAN
Brice Copy
Claudio Bellini
Concezio Bozzi
Cosimo Damiano Gianfreda
Cris Pedregal-Martin
Dan van der Ster
Daniel Hugo Campora Perez
Daniele Gregori
Danilo Cicalese
Dario d'Andrea
David Ebert
David Sangcheol Lee
David Widegren
Davide Costanzo
Douglas Gibbs
Edoardo Martelli
Elena Graverini
Eleonora Villani
Emiliano Piselli
Enrico Gamberini
Eric Aquaronne
Eric Grancher
Eugenio Culurciello
Eva Dafonte Perez
Fabio Luchetti
Federico Carminati
Felice Pantaleo
Filippo tilaro
Fons Rademakers
Francesco Fiori
Francisco Perez
Frank Berghaus
Gabrielle Hugo
Gancho Dimitrov
Georgios Kaklamanos
Germano Massullo
Graeme Stewart
Gregor Molan
Gurjeet Singh
H. Peter Hofstee
Helge Meinhard
Hok Chuen Cheng
Ingo Thon
Jacopo Pazzini
Jacopo Pinzino
Jakob Blomer
Jason Adlard
Johannes Frank
Jose Carlos Luna Duran
Josef Spillner
Josep Soler Garrido
José Márquez
Julien Collet
Karim Massri
Kristina Gunne
Kyle Poland
Lance Thompson
Lionel Clavien
Lorenzo Moneta
Luca Atzori
Luca Canali
Luca Mascetti
Luis Rodriguez Fernandez
Lukas Felsberger
Maite Barroso Lopez
Manuel Rodriguez
Marco Zanetti
Maria Girone
Marie-Christine Sawley
Mario Lassnig
Mark Gray
Mark Hur
Markus Schulz
Martin Barisits
Mathieu Saccani
Matteo Lupi
Matteo Migliorini
Mattia Fani'
Maurizio Pierini
Michel Roethlisberger
Monika .
Monika Grothe
Nikola Hardi
Nikolaos Androulakis
Nuri Twebti
Olga Vladimirovna Datskova
Pablo Llopis Sanmillan
Panagiotis Gkikopoulos
Patrick Duverger
Peter Elmer
Peter Szegedi
Piero Altoe
Pieter Van Trappen
Piotr Golonka
Remi Mommsen
Ricardo Picatoste Ruilope
Riccardo Castellotti
Richard Hay Jr.
Rosen Matev
Ruben Domingo Gaspar Aparicio
samuele altruda
Sebastian Lopienski
Servesh Muralidharan
Simon Eitelbuss
Sonia BEN HAMIDA
Srdjan Atanasijevic
Taghi Aliyev
Tatiana Mangels
Tibor Simko
Tim Bell
Tim Leonhardt
Tobias Schuele
Tom Gibbs
Tristan Roberge-Mentec
Ugo Gentile
Ugo Varetto
Utsav Siwakoti
Vaggelis Motesnitsalis
Viktor Kovacevic
vincent leocorbo
Vincenzo Innocente
Wainer Vandelli
Wassef Karimeh
Yunus Emre Alpu

Contact

kristina.gunne@cern.ch

Wednesday, January 23
- Wed, Jan 23
- Thu, Jan 24
- 1
  
  Welcome and goals of the workshop 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  
  Speaker: Maria Girone (CERN)
  
  workshop intro.pdf
  
  workshop intro.pptx
- Computing architectures for machine learning, data acquisition and processing part 1 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  - 2
    
    Intel big data analytics
    
    Speaker: Vaggelis Motesnitsalis (CERN)
    
    Intel Big Data Analytics - CERN openlab Technical Workshop.pdf
  - 3
    
    Oracle Data Analytics and Autonomous Data Warehouse service on the Cloud
    
    Speaker: Manuel Martin Marquez (CERN)
    
    CERN-Data_analytics_openlabworkshop_2019.pdf
    
    CERN-Data_analytics_openlabworkshop_2019.pptx
  - 4
    
    Siemens Data Analytics and SCADA evolution status report
    
    Speaker: Filippo Maria Tilaro (CERN)
    
    SCADA_Evolution_Data_Analytics.pdf
    
    SCADA_Evolution_Data_Analytics.pptx
- 10:45 AM
  
  Coffee 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
- Computing architectures for machine learning, data acquisition and processing part 1 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  - 5
    
    Partner talk Siemens: AI on the machine level in industrial automation
    
    Artificial intelligence, with all its different facets, makes a considerable contribution, especially in industry, toward reducing the usual expense of programming and engineering, making the control logic more agile and flexible with regard to changes in the ambient conditions and structuring production processes with greater flexibility and precision. With Future of Automation, Siemens is offering far-reaching insights into the future of automation and the role of artificial intelligence within the portfolio of Totally Integrated Automation. This means scalable solutions from the field level to the controller and edge level and all the way to the Cloud. This means that an AI solution can be scaled in terms of the environment and the target application: At the machine on the field level where fast, deterministic decisions are required, or across all machines or plants with a significantly higher quantity of data to be processed and a corresponding demand for computing power. To enable AI at the lowest level Siemens introduced a Technology module, the S7-1500 TM NPU (neural processing unit), which enables the efficient processing of neural networks. This allows to use machine-learning algorithms, for example, visual quality checks in production plants or image-guided robot system. This allows a considerably more efficient and more "human-like" behaviour possible.
    
    Speakers: Ingo Thon (Siemens), Jose Soler Garrido (Siemens)
    
    Ingo_Thon_Presentation for Cern 2018-01-23_wo_video.pdf
  - 6
    
    Intel fast simulation
    
    Speaker: Federico Carminati (CERN)
    
    3DGANfastsim_openlab_tech_workshop2019.pdf
    
    3DGANfastsim_openlab_tech_workshop2019.pptx
  - 7
    
    IBM Evaluation of power architectures for machine learning
    
    Speakers: Ahmad Siar Hesam (Technische Universiteit Delft (NL)), Daniel Hugo Campora Perez (Universidad de Sevilla (ES))
    
    ahesam_opl_workshop_2019.pdf
    
    dcampora_lhcb_ibm_evaluation_ml.pdf
- 12:15 PM
  
  Lunch and poster session 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
- Computing architectures for machine learning, data acquisition and processing part 2 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  - 8
    
    Micron: Exploring Accelerated Machine Learning for Experiment Data Analytics
    
    Speakers: Emilio Meschi (CERN), Maurizio Pierini (CERN)
    
    MicronCMSOpenlab.pdf
    
    OpenLab_MicronDUNE.pdf
  - 9
    
    Partner talk Micron: Advanced Computing Solutions
    
    Micron introduces machine learning products designed to accelerate deep learning algorithm in hardware.
    Coupled with FWDNXT Inference Engine, the programmable logic products from Micron offer the ability to execute complex neural networks in hardware.
    We present expertise in neural network design, compiler and hardware acceleration. We present FWDNXT SDK software as an alternative to graphic processors for deep learning acceleration.
    
    Speaker: Mark Hur (Micron)
    
    ML Hardware - Micron.pdf
  - 10
    
    E4: A Testbed for GPU Accelerated Applications
    
    Speaker: Felice Pantaleo (CERN)
    
    20190123_Felice_openlab_tech_ws.pdf
    
    20190123_Felice_openlab_tech_ws.pptx
  - 11
    
    Status of the DEEP-EST project and outlook
    
    Speaker: Viktor Khristenko (CERN)
    
    talk.pdf
  - 12
    
    Intel: Fast deep neural network inference on FPGAs
    
    Speaker: Jennifer Ngadiuba (CERN)
    
    Ngadiuba_hls4ml_OpenLabWorkshop19.pdf
- 3:10 PM
  
  Coffee Pas Perdus
  
  Pas Perdus
- Data Center Technologies 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  - 13
    
    Storage Services evolution at CERN
    
    Speaker: Alberto Pace (CERN)
    
    2019-01-24-Openlab-Workshop-Storage-Stragtegy-A-Pace-v03.pdf
    
    2019-01-24-Openlab-Workshop-Storage-Stragtegy-A-Pace-v03.pptx
  - 14
    
    Comtrade EOS productization
    
    Speaker: Luca Mascetti (CERN)
    
    CERN openlab workshop 2019 Comtrade.pdf
  - 15
    
    Oracle Management Cloud: A unified monitoring platform
    
    Speaker: Aimilios Tsouvelekakis (Ministere des affaires etrangeres et europeennes (FR))
    
    OMC_Openlab_technical_workshop.pdf
  - 16
    
    Running JAVA application servers on Kubernetes
    
    Speaker: Antonio Nappi (CERN)
    
    Tech_Workshop_App_Servers_Kubernetes.pptx
  - 17
    
    Oracle partner talk: Making databases smarter and faster: innovations enabled by engineering software and hardware together
    
    We present examples that illustrate how jointly designing a database and its underlying hardware enables innovations that overcome substantial technological challenges. Some are fundamental advances in the state of the art, and all yield reliability and performance improvements that discrete component (“converged”) computer systems can rarely attain. For example, tailoring internal network protocols enables analytics queries to run without delaying OLTP commits; pushing computing into storage scales up throughput over limited bandwidth.
    
    This talk is for anyone interested in infrastructure-grade computer systems — not just databases — and aims to reveal the thinking of the technical staff at a large-scale development organization with a reputation for building and delivering systems that are critical for IT infrastructure across all sectors of the global economy.
    
    Speaker: Cris Pedregal (Oracle)
    
    CrisPedregal_20190123.pdf
- Cocktail and poster session Pas Perdus
  
  Pas Perdus
  
  CERN
  - 18
    
    Poster 1: Machine learning pipelines with Apache Spark and Intel Big DL
    
    Speakers: Matteo Migliorini (Universita e INFN, Padova (IT)), Viktor Khristenko (CERN)
    
    posterMatteo.pdf
  - 19
    
    Poster 2: DAQDB: a Key-value store for data acquisition
    
    Speaker: Danilo Cicalese (CERN)
    
    poster_daqdb_cicalese.pdf
  - 20
    
    Poster 3: Monitoring JAVA application servers
    
    Successful operations require constant awareness about the system state. Time to time, different obstacles show up, which have to be resolved as fast as possible, because user satisfaction highly depends on time. The prompt problem resolution depends on two steps: localization of the malfunctioning component and the recovery action. Monitoring aims to strike down the exploration time and provide a detailed information about the case. This poster provides an overview of Java applications monitoring used by the CERN IT-DB group.
    
    Speaker: Viktor Kozlovszky (CERN)
    
    Openlab_VKozlovszky_20190123_A0.pdf.pdf
    
    Openlab_VKozlovszky_20190123_A4.pdf.pdf
  - 21
    
    Poster 4: Physics data analysis and data reduction at scale with Apache Spark
    
    Speaker: Vaggelis Motesnitsalis (CERN)
    
    Poster - Physics Data Analysis and Data Reduction with Apache Spark.pdf
  - 22
    
    Poster 5: Physics data processing and machine learning in the Cloud
    
    Speakers: Luca Canali (CERN), Riccardo Castellotti (CERN)
    
    openlab_tw2019_rcastell.pdf
Thursday, January 24
- Wed, Jan 23
- Thu, Jan 24
- Data Center Technologies 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  - 23
    
    Partner talk Intel: 2019 technology innovation
    
    Speakers: Andrea Luiselli (Intel), Francisco Perez (Intel)
    
    INTEL_CERN_OPENLAB.PDF
  - 24
    
    Intel high performance cloud caching technologies
    
    Speaker: Danilo Cicalese (CERN)
    
    daqdb_openlab.pdf
  - 25
    
    Extreme Networks Flow optimizer
    
    Speaker: Stefan Nicolae Stancu (CERN)
    
    CERN-Extreme-openlab.2019-01-24.tech-workshop.pdf
    
    CERN-Extreme-openlab.2019-01-24.tech-workshop.pptx
  - 26
    
    Huawei OpenStack Cloud
    
    Speaker: Ms Surya Seetharaman (CERN)
    
    Openlab_Huawei_Projects2019.pdf
  - 27
    
    Rackspace: Cloud storage performance
    
    Speaker: Julien Collet (CERN)
    
    2019-jcollet-openlab.pdf
- 10:40 AM
  
  Coffee Pas Perdus
  
  Pas Perdus
- Multidisciplinary Knowledge Sharing Platforms 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  - 28
    
    Introduction to Multi-disciplinary Platforms for Science
    
    Speaker: Alberto Di Meglio (CERN)
    
    CERN openlab Knowledge Sharing Platforms.pdf
    
    CERN openlab Knowledge Sharing Platforms.pptx
  - 29
    
    Mobility
    
    Speaker: Fons Rademakers (CERN)
    
    openlab-IoT-tech-workshop-2019.pdf
  - 30
    
    Biodynamo
    
    Speaker: Lukas Breitwieser (openlab)
    
    bdm-openlab-technical-workshop.pdf
  - 31
    
    Medical Data Analysis
    
    Speaker: Alberto Di Meglio (CERN)
    
    CERN openlab - LivingLab.pdf
    
    CERN openlab - LivingLab.pptx
  - 32
    
    Satellite Image Analysis for UNOSAT
    
    Speaker: Taghi Aliyev (Universiteit Maastricht (NL))
    
    Technical_Workshop_2019_-_UNOSAT(1).pptx
    
    Technical_Workshop_2019_-_UNOSAT.pdf
  - 33
    
    Smart platforms for science
    
    Speaker: Taghi Aliyev (Universiteit Maastricht (NL))
    
    Technical Workshop 2019 - Platforms.pdf
    
    Technical Workshop 2019 - Platforms.pptx
- 12:40 PM
  
  Lunch and poster session 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
- Quantum Computing 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  - 34
    
    Quantum computing and CERN openlab
    
    Speaker: Federico Carminati (CERN)
    
    OPLTechWksh19.pdf
    
    OPLTechWksh19.pptx
  - 35
    
    Machine Learning in quantum computing
    
    Speaker: Dr Sofia Vallecorsa (Gangneung-Wonju National University (KR))
    
    QML_sofia.pdf
  - 36
    
    Applying IBM quantum computing to LHC physics analysis Higgs coupling to two top quarks
    
    Speaker: Wen Guan (University of Wisconsin (US))
    
    Quantum machine learning for cern openlab workshop 20190124(13).pdf
- 37
  
  Wrap up and best poster 503/1-001 - Council Chamber
  
  503/1-001 - Council Chamber
  
  CERN
  
  162
  Show room on map
  
  poster winners 2019.pptm
  
  wrap-up-jan2019.pdf
  
  wrap-up-jan2019.pptx

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