Welcome to this presentation! We’re so glad you came. While you’re here, you can explore many questions: What is CERN and the Large Hadron Collider (LHC)? What is the Worldwide LHC Computing Grid? What can YOU do with grid computing? The LHC and grids

Now, let’s choose a beginning… Let’s start with the world’s largest machine: the Large Hadron Collider Grid computing

With its 27-km circumference, the LHC is the largest machine in the world. LHC stands for Large Hadron Collider. Particle physicists are using the LHC to collide protons at very high energies, aiming to learn more about the Universe, The LHC operates at about – C, just above absolute zero, and speeds particles to almost the speed of light. The LHC involves four experiments, with detectors as ‘big as cathedrals’: ALICE, ATLAS, CMS and LHCb What is the LHC? Millions of people from all over the world watched when the LHC was switched on in 2008.

Why the LHC? The Large Hadron Collider takes physics out of the textbooks and in to real life. By smashing particles together, the LHC is helping physicists to: - create new particles and identify their components - reveal the nature of the interactions between particles - create an environment similar to the one present at the origin of our Universe: the Big Bang

But what for? To answer fundamental questions about the Universe: How did the Universe begin? What is the origin of mass? What is the nature of antimatter? Can we find the mysterious “God” particle: the missing Higgs boson?

Mont Blanc, 4810 m Downtown Geneva Where is the LHC?

CERN is the world's largest particle physics centre, and home to the LHC More than 2500 staff scientists (physicists, engineers, and more) work at CERN, with some 6500 scientists visiting at any time. CERN brings together people from 500 universities representing 80 nationalities. What is CERN?

Ever heard of the Web? The World Wide Web was invented at CERN, to improve information sharing between physicists working all over the world! A little off topic, but…

CERN has made many important discoveries, but our current understanding of the Universe is still incomplete! To answer questions still open, physicists around the world have built the Large Hadron Collider (LHC) If the “Higgs boson” particle exists, the LHC will almost certainly find it What is CERN?

One way to find the Higgs boson is to look at what happens to particles after they collide at high energies inside the LHC. Physicists count, trace and characterize all the particles produced and fully reconstruct the process. If they can find a characteristic decay pattern producing 4 “muon” particles, they know they’re on the trail of the Higgs! Finding the Higgs

Starting from this event… Physicists are looking for this “signature” Selectivity: 1 in Like looking for 1 person in a thousand world populations! Or for a needle in 20 million haystacks! Finding the Higgs

Data, data, data!! But, the LHC produces 40 million collisions per second This is filtered down to 100 interesting collisions per second Each collision produces about one Megabyte of data = recording rate of 0.1 Gigabytes/sec collisions recorded each year = 10 Petabytes/year of data, plus analysis data! This is a MASSIVE data-handling challenge! CMSLHCbATLAS ALICE 1 Megabyte (1MB) A digital photo 1 Gigabyte (1GB) = 1000MB A DVD movie 1 Terabyte (1TB) = 1000GB World annual book production 1 Petabyte (1PB) = 1000TB Annual production of one LHC experiment 1 Exabyte (1EB) = 1000 PB World annual information production

The LHC will produce around 15 Petabytes of data every year! That’s about 20 million CDs each year! Concorde (15 Km) Balloon (30 Km) CD stack with 1 year LHC data! (~ 20 Km) Mt. Blanc (4.8 Km) Where will we store all of these data? Data, data, data!!

LHC data analysis requires a computing power equivalent to ~ 100,000 of today's fastest PC processors! Where will we find such computing power? Data, data, data!!

CERN Computer Centre High-throughput computing based on reliable “commodity” technology More than 5000 PCs with around 20,000 processor cores More than 8 petabytes (8 million Gigabytes) of disk storage and 18 petabytes of magnetic tape storage Nowhere near enough!

LHC Computing Problem: CERN alone can provide only a fraction of the resources necessary to crunch all that LHC data. Solution: Connect all the particle physics computing centers, uniting the computing resources of particle physicists in the world!

Computing for the LHC: a problem? Grid computing: the solution!

LHC Computing Grid Mission: Install a functioning grid to help the LHC experiments collect and analyse data coming from the detectors Strategy: Integrate thousands of computers at hundreds of participating institutes worldwide into a global computing resource. Results: The Worldwide LCG launched in October 2008 with more than 100,000 processors from 140 institutions in 33 countries, producing a massive distributed supercomputer that will provide more than 7000 physicists around the world with near real-time access to LHC data, and the power to process it.

WLCG challenges The Worldwide LHC Computing Grid is able to: share data between thousands of scientists with multiple interests link major computer centres, not just PCs ensure all data accessible anywhere, anytime grow rapidly, yet remain reliable for more than a decade cope with different management policies of different centres ensure data security: more is at stake than just money! be up and running anytime the LHC is producing data

What is grid computing? Just to recap, what’s the difference between the World Wide Web and grid computing? The World Wide Web provides seamless access to information that is stored in many millions of different geographical locations Grid computing provides seamless access to computing power and data storage capacity distributed over the globe. But wait…

Grids rely on advanced software, called middleware, to ensure seamless communication between different computers and different parts of the world How do grids work? Grid search engines not only find the data a scientist needs, but also the data processing techniques and the computing power to carry out data analysis Grids can distribute computing tasks to wherever in the world there is spare capacity, and send the result to the scientists

Imagine you’re a scientist. Your grid middleware: Finds convenient places for the your “jobs” (computing tasks) to run Optimises use of globally dispersed computing resources Organises efficient access to scientific data Deals with authentication at different sites you are using Interfaces to local site authorisation and resource allocation policies Runs the jobs Monitors progress Recovers from problems … and …. Tells you when the work is complete and sends your results back! How do grids work?

Who else uses grids? Computational scientists & engineers: large scale modeling of complex structures Experimental scientists: storing and analyzing large data sets Collaborations: large scale multi-institutional projects Corporations: global enterprises and industrial partnership Environmentalists: climate monitoring and modeling Trainers & educators: virtual learning rooms and laboratories

Grid benefits More effective and seamless collaboration of dispersed communities, both scientific and commercial Ability to run large-scale applications comprising thousands of computers, for wide range of applications Transparent access to distributed resources from your desktop, or even your mobile phone The term “e-Science” has been coined to express these benefits

Enabling Grids for E-Science Creating a global grid for global e-science Mission: Deliver 24/7 grid service to European science; re-engineer grid middleware for production; market grid solutions to different scientific communities Results: EGEE currently involves more than 240 institutions in 45 countries, supporting science in more than 20 disciplines, including bioinformatics, medical imaging, education, climate change, energy, agriculture and more.

Grid computing is already changing the way science and much else is done around the world. What will the future hold? A geneticist at a conference, inspired by a talk she hears, will be able to launch a complex biomolecular simulation from her mobile phone. A team of engineering students will be able to run the latest 3D rendering programs from their laptops using the Grid. An international network of scientists will be able to model a new flood of the Danube in real time, using meteorological and geological data from several centers across Europe. The EGEE Vision

Grids in science There’s so much that grids can already do! Here are some examples in: Medicine (imaging, diagnosis and treatment ) Bioinformatics (study of the human genome and proteome to understand genetic diseases) Nanotechnology (design of new materials from the molecular scale) The environment (weather forecasting, earth observation, modeling and prediction of complex systems)

Medicine “Grids make it possible to use large collections of images in new, dynamic ways, including medical diagnosis.” “The ability to visualise 3D medical images is key to the diagnosis of pathologies and pre- surgical planning” “Grids will enable a standardized, distributed digital mammography resource for improving diagnostic confidence" Digital image archives Collaborative virtual environments On-line clinical conferences

Bioinformatics “Every time a new genome is sequenced the result is compared in a variety of ways with other genomes. Each code is made of 3.5 billion pairs of chemicals…” Capturing the complex and evolving patterns of genetic information, determining the development of an embryo Understanding the genetic interactions that underlie the processes of life-form development, disease and evolution.

Nanotechnology “Grids have the potential to store and analyze data on a scale that will support faster, cheaper synthesis of a whole range of new materials.” New and 'better' materials Benefits in pharmaceuticals, agrochemicals, food production, electronics manufacture from the faster, cheaper discovery of new catalysts, metals, polymers, organic and inorganic materials

Environment “Federations of heterogeneous databases can be exploited through grid technology to solve complex questions about global issues such as biodiversity.” Modeling and prediction of earthquakes Climate change studies and weather forecast Pollution control Socio-economic growth planning, financial modeling and performance optimization

Get involved! Volunteer computing grids, like rely on volunteers like you to donate spare computing cycles when their computer is idle. spawned an entire industry: and more!

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