Bob Lucas University of Southern California Sept. 23, 2011 Transforming Geant4 for the Future Bob Lucas and Rob Roser USC and FNAL May 8, 2012.

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Presentation transcript:

Bob Lucas University of Southern California Sept. 23, 2011 Transforming Geant4 for the Future Bob Lucas and Rob Roser USC and FNAL May 8, 2012

Welcome Associate Directors of Science Dan HitchcockAdvanced Scientific Computing Research Jim SiegristHigh Energy Physics Program Managers Ceren SusutAdvanced Scientific Computing Research Lali ChatterjeeHigh Energy Physics Workshop Chairs Bob LucasUniversity of Southern California Rob RoserFermi National Accelerator Center Oak Ridge Institute for Science and Education Donna Nevels

Scientific Challenge Addressing challenges related to big data is a national priority High Energy Physics experiments generate vast amounts of data Geant4 is used to design the experiments, their data handling infrastructure, and the analysis of the data Geant4 is essential to the success of HEP but is of great interest to other fields as well – our success here will ultimately benefit many scientific endeavors Geant4 must scale to support the physics modeling needs of future HEP experiments

Direction from DOE

Direction from DOE, cont. Review the current status, success and limitations of Geant4 Determine the challenges posed by new processor architectures Consider opportunities in algorithms, optimization tools, and physics models Ascertain research areas needed to leverage Geant4 into a robust, sustainable software infrastructure Create the foundation for collaboration between ASCR and HEP researchers, ASRC computing facilities, and Geant4 users Understand current international research to avoid duplication Explore transformative advances possible in a joint ASCR-HEP collaboration

May 8 Plenary Agenda 8:00-8:30 amRegistration OpenContinental Breakfast 8:30-9:00 amWelcome and Goals ASCR and HEPDan Hitchcock, ASCR Jim Siegrist, HEP Conference ChairsBob Lucas, USC Rob Roser, FNAL 9:00-9:30 amGeant4 OverviewAmber Boehnlein, SLAC 9:30-9:45 amGeant4 Collaboration and HistoryMakoto Asai, SLAC 9:45-10:15 amPhysics uses of Geant4Tom LeCompte, ANL 10:15-10:45 amBreak 10:45-11:15 amMulti-core & Optimization Rob Fowler, UNC 11:15-11:45 amExploiting Concurrency in Geant4Jim Kowalkowski, FNAL 11:45-12:15 pmScientific Data ManagementRob Ross, ANL 12:15-12:30 pmCharge to Workshop ParticipantsBob Lucas, USC Rob Roser, FNAL 12:30-1:45 pmLunch on your own

May 8 Breakout Agenda 1:45-3:15 pmParallel Sessions Multi-core Optimization Scientific Data Handling and Analysis 3:15-3:30 pmBreak 3:30-5:00 pmResume Sessions 5:00-5:30 pmReport of Parallel Session progress 5:30 pmAdjourn for the day

May 9 Agenda 8:00-8:30 amContinental Breakfast 8:30-10:30 amResume breakout discussions 10:30-11:00 amBreak 11:00-12:00 pmPlenary reports from discussions 12:00-12:15 pmClosing remarks and paths forward 12:15-1:30 pmWorkshop adjourn Working lunch for organizers and chairs 1:30 pmReport preparation

Break-out Objectives Include Multi-core Optimization: Rob Fowler & Daniel Elvira Evolution of VLSI technology and the implications for Geant4 Programming languages and code structure vs. the limits of optimizing compilers. Ideas on how to parallelize Geant4 for multicore processors Alternatives such as use of Domain Specific Languages Scientific Data Handling and Analysis: Rob Ross & Gene Cooperman A few Topics to be covered in this session include: Geant4 as a way to leverage big data (test beds, prototyping etc) Strategies/Issues with generating very large simulations on GRIDS How to exploit new storage technologies that are on the horizon

Workshop Outcome Our goal is to help DOE set its research agenda This workshop could help shape HEP and ASCR out-year program plans It could also inform the Office of Science’s long-range budget plans We will produce: A briefing summarizing the workshop for DOE at 12:00 on Wednesday An executive summary delivered to DOE by June 23 rd A white paper from the ASCR and HEP research communities which articulates the above and a puts forward a plan to succeed Research agenda for big data problems typified by HEP Research challenges for scaling Geant4 in multicore era