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A successful public- private partnership Fons Rademakers CERN openlab CTO.

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Presentation on theme: "A successful public- private partnership Fons Rademakers CERN openlab CTO."— Presentation transcript:

1 A successful public- private partnership Fons Rademakers CERN openlab CTO

2 CERN: A UNIQUE ENVIRONMENT TO PUSH TECHNOLOGIES TO THEIR LIMITS Fons Rademakers– CERN openlab2

3 CERN openlab in a nutshell Fons Rademakers – CERN openlab A science – industry partnership to drive R&D and innovation with over a decade of success Evaluate state-of-the-art technologies in a challenging environment and improve them Test in a research environment today what will be used in many business sectors tomorrow Train next generation of engineers/employees Disseminate results and outreach to new audiences 3

4 The history of openlab I 2003 II 2006 III 2009 IV 2012 V 2015 Fons Rademakers – CERN openlab CERN openlab Board of Sponsor 2013 Set-up 2001 4

5 The Large Hadron Collider (LHC) Fons Rademakers – CERN openlab5

6 LHC Schedule First runLS1Second runLS2Third run LS3 HL-LHC 20092013201420152016201720182011201020112019202320242030?202120202022 … LHC startup 900 GeV 7 TeV L=6x10 33 cm -2 s -1 Bunch spacing = 50 ns Phase-0 Upgrade (design energy, nominal luminosity) 14 TeV L=1x10 34 cm -2 s -1 Bunch spacing = 25 ns Phase-1 Upgrade (design energy, design luminosity) 14 TeV L=2x10 34 cm -2 s -1 Bunch spacing = 25 ns Phase-2 Upgrade (High Luminosity) 14 TeV L=1x10 35 cm -2 s -1 Spacing = 12.5 ns FCC? 50 times more data than today in the next 10 years 50 PB/s out of the detectors 5 PB/day to be stored Fons Rademakers – CERN openlab6

7 Information Technology Research Areas Fons Rademakers – CERN openlab Data acquisition and filteringComputing platforms, data analysis, simulationData storage and long-term data preservationCompute provisioning (cloud) Data analytics Networks Medical applications 7

8 Who we are talking to Fons Rademakers – CERN openlab New partners 8

9 New educational requirements Fons Rademakers – CERN openlab Multicore CPU programming, graphical processors (GPU), multithreaded software Software & Computing Engineers Data analysis technologies, tools, data visualization, monitoring, security, etc. Data Scientists Applications of physics to medical research (hadron therapy, etc.), simulation software Multidisciplinary applications 9

10 Fons Rademakers – CERN openlab10 The Educational Programme

11 Summer Student Program Fons Rademakers – CERN openlab11 In 2015  1540+ applicants  40 selected students  14 lectures  Visits to external labs and companies  Lightning talks session  Technical reports

12 Communication  Project activities and results are disseminated to a wide audience  Subject to agreement between all the participating members that it does not compromise legitimate academic or commercial interests  Press releases (must not imply endorsement of products by research labs etc.)  Visibility and presence of member companies on the website is proportional to membership level Fons Rademakers – CERN openlab

13 CERN openlab Open Day  High-visibility public event to promote the activities and results of CERN openlab and its projects Press sessions Demos and interactive sessions Industry exhibition area  Each member is given visibility and seats according to their membership level Members can invite their partners/customers Visits to CERN installations (LHC, etc.) can be organised for participants Globe @ CERN Capacity ~200 Fons Rademakers – CERN openlab13

14 Membership Benefits  Work in close collaboration with CERN experts on large-scale applications of technologies and products  Visibility in CERN openlab activities proportional to the membership status  Participation of openlab personnel at conferences and events to promote the technologies and results of the collaboration  Support for organizing visits to CERN installations, technical presentations and seminars about technologies and products  Activities of all Partner Members featured prominently in the openlab Annual Report  Summer students assigned to work on openlab Industrial Members Projects Fons Rademakers – CERN openlab14

15 Intel  High throughput computing project Xeon + FPGA + omnipath, LHCb TDAQ  Code modernization project Geant V, FairRoot, Cx3D brain dev simulation  Rackscale project Software defined racks  Training, consultancy Fons Rademakers – CERN openlab15

16 Oracle  Cloud and OpenStack OVM integration with CERN OpenStack  Data Analytics Analytics as a Service (Endeca, Oracle R, etc.)  Database and Systems Management  Java Platform  Replication using GoldenGate Fons Rademakers – CERN openlab16

17 Siemens  Improve functionality, efficiency, and predictability of CERN control systems Data Analytics High performance archiving Visualization Development environment Fons Rademakers – CERN openlab17

18 Huawei  Storage server projects Test S3 compatibility Test performance Fons Rademakers – CERN openlab18

19 Rackspace  Cloud Federations Create full orchestration capability Manage virtual machines in remote clouds with a single identity Done within the OpenStack development process Fons Rademakers – CERN openlab19

20 Application File System DB POSIX File System Volume Manager Driver Devices SAS Interface SMR, Mapping Cylinder, Head, Sector, Drive HDA Storage Server RAID Battery Backed RAM CACHE FC SAS Ethernet Application Kinetic Library Devices Ethernet Interface Key Value Store Cylinder, Head, Sector, Drive HDA

21 IDT  RapidIO low-latency switch technology Test and evaluate in analytics clusters Test and evaluate in TDAQ environment Fons Rademakers – CERN openlab21

22 Cisco  Build a rack-scale system with a modern OS including the following ideas: Data plane OS for virtualized high-throughput I/O › Multi-kernel operating systems (Arrakis, Barrelfish) › Data transfer without kernel mediation Multicore systems › Decouple the CPU, kernel and the OS Scaling beyond a single chassis › Using asynchronous message exchange Fons Rademakers – CERN openlab22

23 Brocade  Build intelligent system that can optimize routing of data traffic entering and leaving an organization and drop network attacks  The optimal routing or drop will be decided based on the information coming from network itself, from db of trusted applications and other sources Fons Rademakers – CERN openlab23

24 Yandex  Data popularity project Based on data usage patterns determine the data storage class  Data verification project Automatic detection of anomalies in the LHCb detector operating mode Fons Rademakers – CERN openlab24

25 Comtrade  Customization and packaging of EOS Fons Rademakers – CERN openlab25

26 Close to Joining  Micron Automata processor evaluation  DSI (Data Storage Institute) NVram project Fons Rademakers – CERN openlab26

27 Fons Rademakers – CERN openlab EXECUTIVE CONTACT Alberto Di Meglio, CERN openlab Head alberto.di.meglio@cern.ch TECHNICAL CONTACT Fons Rademakers, CERN openlab CTO fons.rademakers@cern.ch COMMUNICATION CONTACT Mélissa Gaillard, CERN openlab Communication Officer melissa.gaillard@cern.ch ADMIN CONTACT Kristina Gunne, CERN openlab Administration Officer kristina.gunne@cern.ch 27


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