Second Report on the Organisation of WP3 Workshops During Eurohpc Summit Week 2020
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CERN Courier–Digital Edition
CERNMarch/April 2021 cerncourier.com COURIERReporting on international high-energy physics WELCOME CERN Courier – digital edition Welcome to the digital edition of the March/April 2021 issue of CERN Courier. Hadron colliders have contributed to a golden era of discovery in high-energy physics, hosting experiments that have enabled physicists to unearth the cornerstones of the Standard Model. This success story began 50 years ago with CERN’s Intersecting Storage Rings (featured on the cover of this issue) and culminated in the Large Hadron Collider (p38) – which has spawned thousands of papers in its first 10 years of operations alone (p47). It also bodes well for a potential future circular collider at CERN operating at a centre-of-mass energy of at least 100 TeV, a feasibility study for which is now in full swing. Even hadron colliders have their limits, however. To explore possible new physics at the highest energy scales, physicists are mounting a series of experiments to search for very weakly interacting “slim” particles that arise from extensions in the Standard Model (p25). Also celebrating a golden anniversary this year is the Institute for Nuclear Research in Moscow (p33), while, elsewhere in this issue: quantum sensors HADRON COLLIDERS target gravitational waves (p10); X-rays go behind the scenes of supernova 50 years of discovery 1987A (p12); a high-performance computing collaboration forms to handle the big-physics data onslaught (p22); Steven Weinberg talks about his latest work (p51); and much more. To sign up to the new-issue alert, please visit: http://comms.iop.org/k/iop/cerncourier To subscribe to the magazine, please visit: https://cerncourier.com/p/about-cern-courier EDITOR: MATTHEW CHALMERS, CERN DIGITAL EDITION CREATED BY IOP PUBLISHING ATLAS spots rare Higgs decay Weinberg on effective field theory Hunting for WISPs CCMarApr21_Cover_v1.indd 1 12/02/2021 09:24 CERNCOURIER www. -
CERN Science and Technology
Big Data for Big Discoveries How the LHC looks for Needles by Burning Haystacks Alberto Di Meglio CERN openlab Head DOI: 10.5281/zenodo.45449, CC-BY-SA, images courtesy of CERN The Large Hadron Collider (LHC) Burning Haystacks The Detectors: 7000 tons “microscopes” 150 million sensors Data generated 40 million times per second Peta Bytes / sec ! Low-level Filters and Triggers 100,000 selections per second Tera Bytes / sec ! High-level filters (HLT) 100 selections per second Giga Bytes / sec ! Alberto Di Meglio – CERN LHC - HPC & Big Data 2016 3 Storage, Reconstruction, Simulation, Distribution 6 GB/s Alberto Di Meglio – CERN LHC - HPC & Big Data 2016 4 Worldwide LHC Computing Grid Tier-0 (CERN): Tier-2 (68 •Data recording Federations, ~140 •Initial data reconstruction centres): •Data distribution • Simulation • End-user analysis Tier-1 (12 centres): •Permanent storage •Re-processing •525,000 cores •Analysis •450 PB Alberto Di Meglio – CERN LHC - HPC & Big Data 2016 5 1 PB/s of data generated by the detectors Up to 30 PB/year of stored data A distributed computing infrastructure of half a million cores working 24/7 An average of 40M jobs/month An continuous data transfer rate of 4-6 GB/s across the Worldwide LHC Grid (WLCG) Alberto Di Meglio – CERN LHC - HPC & Big Data 2016 6 The Higgs Boson completes the Standard Model, but the Model explains only about 5% of our Universe What is the other 95% of the Universe made of? How does gravity really works? Why there is no antimatter in nature? Exotic particles? Dark matter? Extra dimensions? -
Pdfs and Exotic Searches; with the SM, but the Majority of These → J/Ψ L Ν (With L = Τ, Μ Or E)
I NTERNATIONAL J OURNAL OF H IGH -E NERGY P HYSICS CERNCOURIER WELCOME V OLUME 5 8 N UMBER 1 J ANUARY /F EBRUARY 2 0 1 8 CERN Courier – digital edition Welcome to the digital edition of the January/February 2018 issue of Precision medicine CERN Courier. Proton therapy was first administered in a patient at Berkeley National ILC design revisited Laboratory in September 1954, the same month CERN was founded. The Linac4 prepares for injection breakthrough followed the invention of the cyclotron, and the relationship between high-energy physicists and oncologists has grown closer ever since. Weighing up the LHC’s future This issue of the Courier takes a look at some of the medical applications of accelerators, in particular for particle therapy. Hadron beams can allow tumours to be targeted more precisely than conventional radiotherapy and the number of centres is growing rapidly across Europe, for example thanks to efforts such as the TERA Foundation. A shift to more compact linac-driven treatment centres, meanwhile, promises to expand access to particle and radiotherapy in the challenging environments of low- and middle-income countries, where cancer rates are predicted to be highest in the coming decades. Accelerator technology is also bringing new opportunities in radioisotope production for theragnostics and advanced treatment modes, as exemplified by the recently completed MEDICIS research facility at CERN, while detector and computing technology from particle physics continue to have a major impact on medical imaging and treatment planning. Also distributed with the January/February 2018 print issue is the inaugural Courier year-planner, copies of which can be obtained by getting in touch at [email protected]. -
Eurohpc Summit Week 2021 Including Pracedays21
EuroHPC Summit Week 2021 including PRACEdays21 Thursday 25 March 2021, 10:00 – 10:45, Scientific Keynote Talk Maria Girone, CERN - European Organization for Nuclear Research Abstract Computing Challenges at CERN and the potential of High-Performance Computing High-energy physics faces unprecedented computing challenges in preparation for the ‘high- luminosity’ phase of the Large Hadron Collider, which will be known as the HL-LHC. The complexity of particle-collision events will increase, as will the rate of data collection rate, substantially outstripping the gains expected from technology evolution. The LHC experiments are actively pursuing improvements in software and techniques that reduce the resource gap, but new resources will be needed. The efficient use of HPC facilities is seen as important to addressing the anticipated resource gap. In this talk I will discuss the future computing needs in high-energy physics and how those needs can be met through engagement with HPC centers. As a community, we have identified common challenges for integrating these large facilities into our computing ecosystem. In this presentation, I will discuss the current progress in addressing those challenges and utilizing HPC sites. I will summarize the work in software development for heterogeneous architectures, data management at scale, and supporting services. I will close with plans for the future and opportunities for collaboration. Bio Maria Girone graduated from the University of Bari, Italy. She was awarded her Ph.D. in high-energy physics in 1994. Maria became a research fellow with the ALEPH experiment performing analysis and serving as accelerator liaison. Later, Maria developed detector hardware for the LHCb experiment as a research associate at Imperial College London. -
Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High
Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High Energy Physics Peter Elmer (Princeton University) Mark Neubauer (University of Illinois at Urbana-Champaign) Michael D. Sokoloff (University of Cincinnati) April 6, 2018 arXiv:1712.06592v2 [physics.comp-ph] 4 Apr 2018 This report has been produced by the S2I2-HEP project (http://s2i2-hep.org) and supported by National Science Foundation grants ACI-1558216, ACI-1558219, and ACI-1558233. Any opinions, findings, conclusions or recommendations ex- pressed in this material are those of the project participants and do not necessarily reflect the views of the National Science Foundation. Executive Summary The quest to understand the fundamental building blocks of nature and their interactions is one of the oldest and most ambitious of human scientific endeavors. Facilities such as CERN's Large Hadron Collider (LHC) represent a huge step forward in this quest. The discovery of the Higgs boson, the observation of exceedingly rare decays of B mesons, and stringent constraints on many viable theories of physics beyond the Standard Model (SM) demonstrate the great scientific value of the LHC physics program. The next phase of this global scientific project will be the High- Luminosity LHC (HL-LHC) which will collect data starting circa 2026 and continue into the 2030's. The primary science goal is to search for physics beyond the SM and, should it be discovered, to study its details and implications. During the HL-LHC era, the ATLAS and CMS experiments will record ∼10 times as much data from ∼ 100 times as many collisions as in Run 1. -
Conference Keynote 2018
3/19/2018 Conference Keynote - ISC 2018 CONFERENCE KEYNOTE 2018 Dr. Maria Girone CERN openlab Chief Technology Officer CERN - European Organization for Nuclear Research _____________________________________________________________________________ TACKLING TOMORROW'S COMPUTING CHALLENGES TODAY AT CERN CERN was established in 1954, with the mission of advancing science for peace and exploring fundamental physics questions, primarily through elementary particle research. The Large Hadron Collider (LHC) at CERN is the world's most powerful particle accelerator colliding bunches of protons 40 million times every second. This extremely high rate of collisions makes it possible to identify rare phenomenon and to declare new discoveries such as the Higgs boson in 2012. The high-energy physics (HEP) community has long been a driver in processing enormous scientific datasets and in managing the largest scale high-throughput computing centers. Today, the Worldwide LHC Computing Grid is a collaboration of more than 170 computing centers in 42 countries, spread across five continents. In this keynote talk, I will discuss the ICT challenges of the LHC project, with attention given to the demands of capturing, storing, and processing the large volumes of data generated by the LHC experiments. We’re working to tackle many of these challenges together with ICT industry leaders, through a collaboration known as ‘CERN openlab’. These demands will become even more pressing when we launch the next-generation “High- Luminosity” LHC in 2026. At that point, the total computing capacity required by the experiments is expected to be 50 to 100 times greater than today, with storage needs expected to be on the order of exabytes. -
CERN's Maria Girone: "We Explain the Magic!" | TOP500 Supercomputer Sites
7/11/2018 CERN's Maria Girone: "We explain the magic!" | TOP500 Supercomputer Sites Home (/) / News (/news/) / CERN's Maria Girone: "We explain the magic!" CERN's Maria Girone: "We explain the magic!" (/lists/2017/11 Elizabeth Leake (STEM-Trek) (/project/top500-news-team/) | June 26, 2018 06:43 CEST E-mail (mailto:? subject=CERN%26%2339%3Bs%20Maria%20Girone%3A%20%26quot%3BWe%20explain%20the%20magic!%26quot%3B&body=http%3A%2F%2Ftop500.org%2FB Tweet (https://twitter.com/share? (/25years) (/newsletter/) url=http%3A%2F%2Ftop500.org%2FBNT&text=CERN%26%2339%3Bs%20Maria%20Girone%3A%20%26quot%3BWe%20explain%20the%20magic!%26quot%3B) Like (https://facebook.com/sharer/sharer.php?u=http%3A%2F%2Ftop500.org%2FBNT) +1 (https://plus.google.com/share?url=http%3A%2F%2Ftop500.org%2FBNT) Share (https://www.linkedin.com/shareArticle?mini=true&url=http%3A%2F%2Ftop500.org%2FBNT) The International Supercomputing Conference (ISC18) kicked off Monday in Frankfurt, Germany, with Maria Girone, CTO of CERN openlab delivering the opening keynote address. She explained how CERN’s needs will drive exascale computation and data science innovation in the future. Tweets by @top500supercomp TOP500 @top500supercomp Researchers at the Great Western 4 Alliance (@GW4Alliance) have benchmarked the @CaviumInc ThunderX2 processor that will soon power the Isambard #supercomputer.ow.ly/1N7c30kQ1kr Jul 9, 201 TOP500 @top500supercomp NEWS: @ANSYS, @cray_inc and a university researcher have conducted the first aerodynamic simulations of a full peloton of road cyclists, yielding some unexpected results #HPC Embed View on T Founded in 1954, CERN straddles the Franco-Swiss border, and has an annual operating budget of one billion Swiss francs. -
AI at CERN and SKA Scientific Programme
AI at CERN and SKA Monday, 17 September 2018 - Tuesday, 18 September 2018 Alan Turing Institute, London Scientific Programme AI at CERN and SKA / Scientific Programme Saturday, 25 September 2021 AI at CERN and SKA / Scientific Programme Saturday, 25 September 2021 Day 1 Opening words - Peter Braam Session 1: ML Infrastructure Welcome and Opening Remarks Dr Peter Braam Partnering with industry for machine learning at HL-LHC Dr Maria Girone, CTO openlab CERN The High Luminosity LHC (HL-LHC) represents an unprecedented computing challenge. For the program to succeed the current estimates from the LHC experiments for the amount of processing and storage required are roughly 50 times more than are currently deployed. Although some of the increased capacity will be provided by technology improvements over time, the computing budget is expected to be flat and to close the gap huge gains in the efficiency for processing and analyzing events must be achieved. An area that has the potential for a significant breakthrough is Machine Learning. In recent years industry has invested heavily in both hardware and software to develop machine learning techniques to filter, process, analyze, and derive correlations from very large scale heterogeneous datasets. Through CERN openlab, with industry partners, and the R&D projects of the LHC experiments we are attempting to build on the industry investments to utilize these techniques for science. In this presentation we will discuss the activities of the CERN openlab industry partnerships in machine learning and how they can be extended to science applications. Maria has a PhD in particle physics. She also has extensive knowledge in computing for high-energy physics experiments, having worked in scientific computing since 2002.Maria has worked for many years on the development and deployment of services and tools for the Worldwide LHC Computing Grid (WLCG), the global grid computing system used to store, distribute, and analyse the data produced by the experiments on the Large Hadron Collider (LHC).