CERN is expanding its Budapest datacentre operation with a new terabit connection to help it process and store data from the Large Hadron Collider.
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The European nuclear research agency CERN collided two high-power proton beams in the early hours of Thursday morning, marking the beginning of this year's Large Hadron Collider physics data collection.The colliding beams were each of an intensity of 4 teraelectronvolts (TeV), and the resulting 8 TeV collision energy is the most powerful the particle accelerator has managed yet.
CERN, the European Space Agency and European Molecular Biology Laboratory have partnered up to launch a joint cloud computing platform called Helix Nebula.The 'science cloud' is designed for the large-scale data-crunching that Europe's scientists need to do.
At the Intel Developer Forum in San Francisco, Andrzej Nowak, staff researcher at CERN, the European Organization for Nuclear Research, explains how the organization is working to understand the universe and is processing the data it collects.
Cern, which runs the Large Hadron Collider, has chosen Brocade's MLXe routers a network infrastructure upgrade meant to handle the increasing amounts of data generated by its experiments
The European nuclear research organisation is looking at ways of marrying cloud computing with grid and high-performance networking
Cern sucessfully collides beams at the highest energy ever, providing scientists with experimental data needed for research into fundamental physics
The grid that will process data from the Large Hadron Collider has undergone stress testing, with Cern and other organisations trying to gauge its limits.
Tests of the computing grid that will manage data from the Large Hadron Collider experiment showed the systems successfully handled large amounts of information, according to Cern
Terabytes of data are streaming through dedicated fibre-optic links between laboratories and universities globally in preparation for the world's largest particle accelerator being switched on in August at Cern
Derek Mathieson, project leader at Cern, explains the use of Java apps by the Atlas detector, a six-storey-high, 100-megapixel camera with 100 million data channels
At the JavaOne conference in San Francisco, Derek Mathieson, project leader for the world's largest particle physics laboratory, CERN, shows off the Atlas detector, a six story high, 100-megapixel camera with 100 million data channels. Mathieson explains how the detector uses open-source Java applications to collect data and how grid computing allows the data to be processed.
CalTech, UMich and CERN team up to show just how fast data can move.
ATLAS is a particle physics experiment which has been designed to analyze data gathered from CERN's Large Hadron Collider (LHC) scheduled to start its activity next year. One of the components of the ATLAS detector is its huge magnet system. According to CERN, the Barrel Toroid, the world's largest superconducting magnet, has now been switched on.
While I was happily peering into holes at CERN and admiring the new data centre that'll be distributing a gigabyte per second of data worldwide, others were showing that technology's more than ready to keep up. On Monday, 100 gigabits a second of continuous data was sent over 4000km of fibre cable from Tampa, Florida to Houston, Texas, and back again.
A hotbed of scientific endeavor, CERN deals with petabytes of data. Faced with this challenge, it has turned to a combination of x86 commodity systems and Linux to deal with the deluge.
A hotbed of scientific endeavour, CERN deals with petabytes of data. Faced with this challenge, it has turned to a combination of x86 commodity systems and Linux to deal with the deluge
CERN has launched the first phase of a grid computing project designed to process data from the Large Hadron Collider, which will search for the origins of the universe
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