Shared Computing Driving Discovery: From the Large Hadron Collider to Virus Hunting. Frank Würthwein

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1 Shared Computing Driving Discovery: From the Large Hadron Collider to Virus Hunting Frank Würthwein Professor of Physics University of California San Diego February 14th, 2015

2 The Science of the LHC

3 The Universe is a strange place! ~68% of energy is dark energy We got no clue what this is. ~27% of matter is dark matter We have some ideas but no proof of what this is! All of what we know makes up Only about 5% of the universe. Febuary 14th 2015 Frank Wurthwein - AAAS 3

4 Mont Blanc Lake Geneva LHCb To study Dark ATLAS CMS Matter we need to create it in the ALICE laboratory Febuary 14th 2015 Frank Wurthwein - AAAS 4

5 The Large Hadron Collider (LHC) 27 km in circumference Colliding protons on protons at energies of 7,8,13,14TeV 2808 bunches colliding every 25ns with 115 billion protons per bunch 1//15 UCSD

6 Big bang in the laboratory We gain insight by colliding particles at the highest energies possible to measure: Production rates Masses & lifetimes Decay rates From this we derive the spectroscopy as well as the dynamics of elementary particles. Progress is made by going to higher energies and brighter beams. Febuary 14th 2015 Frank Wurthwein - AAAS 6

7 Explore Nature over 15 Orders of magnitude pb GeV/c σ dy 2 T d dp pp s = 8 TeV CMS Preliminary -1 open: L = 5.8 pb int filled: L int =.71 fb (low PU runs) -1 (high PU runs) NNPDF 2.1 NLO NP < y < 0.5 ( ) < y < 1.0 ( ) < y < 1.5 ( ) < y < 2.0 ( ) < y < 2.5 ( ) < y < 3.0 ( ) Dark Matter expected < y < 4.7 ( ) somewhere below this line Jet p [GeV/c] Febuary 14th 2015 Frank Wurthwein - AAAS T 7

8 Software & Computing Challenges Volume Distributed Expertise Decade-long Science Program

9 The CMS Experiment 0 Megapixel camera taking 40 Million pictures per second of which 1/40,000 is kept for offline analysis. several s of Petabytes of data expected per experiment in next Run ( ).

10 3000 scientists from 174 institutions in 38 countries Humans are the most important resource of the LHC Febuary 14th 2015 Frank Wurthwein - AAAS

11 years planning. 13 years detector construction. 20 years data taking. Once in a lifetime Febuary 14th 2015 Frank Wurthwein - AAAS 11

12 The Challenge How do we organize the processing of s to 00 s of Petabytes of data by a globally distributed community of scientists, and do so with manageable change costs for the next 20 years? Guiding Principles for Solutions Chose technical solutions that allow computing resources as distributed as human resources. Support distributed ownership and control, within a global single sign-on security context. Design for heterogeneity and adaptability. Febuary 14th 2015 Frank Wurthwein - AAAS 12

13 Global Federation Walltime provided by country in 2014 US contribution organized via the Open Science Grid No country dominates A truly global enterprise! Febuary 14th 2015 Frank Wurthwein - AAAS 13

14 Me -- My friends -- The grid/cloud Domain science specific Common to all sciences and industry O( 4 ) Users Me Thin client O( 1 ) VOs O( 3 ) Sites My friends The anonymous Grid or Cloud Thick VO Middleware & Support Thin API Febuary 14th 2015 Frank Wurthwein - AAAS 14

15 Open Science Grid and the power of sharing Sharing Resources => Open Facility Sharing Software => Open Software Stack Sharing Knowledge => Open Ecosystem to be relevant beyond just particle physics. Febuary 14th 2015 Frank Wurthwein - AAAS 15

16 Science other than Particle Physics 64% growth 55% growth 51% growth 7% of total 8% of total 12% of total 16% of total Febuary 14th 2015 Frank Wurthwein - AAAS 16

17 Summary & Conclusion The LHC challenge: Global Community of expertise to derive science from s to 00 s of Pbytes of data across 20 years of operations. Solved by a globally federated Me My Friends the anonymous Grid/Cloud paradigm. Built into an ecosystem of sharing in order to maximize benefits to all of science. Febuary 14th 2015 Frank Wurthwein - AAAS 17

18 Backup

19 To get a sense of scale The next two slides show statistics for the metascheduler operated by the Open Science Grid. This metascheduler creates a virtual batch system across 143 computing & storage clusters worldwide. It accounts for roughly half the use in US, and ¼ the use outside the US. The stats shown are for the time period 7/1/2014 to 12/31/2014, i.e. 6 months. There were 25 clusters that were completely inactive during this period. Data for those sites is suppressed on the log plot. Febuary 14th 2015 Frank Wurthwein - AAAS 19

20 Y-axis shows the number of core-hours consumed in 6 months on each cluster in units of thousands of hours. Y-axis is a log scale. The dynamic range in cluster size spans x0. X-axis has one entry for each cluster. Febuary 14th 2015 Frank Wurthwein - AAAS 20

21 Most likely cluster size This shows the same data as previous page but now binned in # of clusters within a certain size range. most clusters are in the range of 0-00 cores of average utilization. Febuary 14th 2015 Frank Wurthwein - AAAS 21

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