The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing
May 18, 2007
WEST LAFAYETTE, Ind., May 17 -- The world's largest science experiment, a physics experiment designed to determine the nature of matter, will produce a mountain of data. And because the world's physicists cannot move to the mountain, an army of computer research scientists is preparing to move the mountain to the physicists.
Thomas Hacker, a research assistant professor in Purdue University's Discovery Park Cyber Center and with Information Technology at Purdue (ITaP), says the particle physics collider experiment taking place at the European nuclear physics facility CERN will involve scientists around the world.
"Researchers usually have to be in the same location as the instrument to access to the data," Hacker says. "In this case, to bring the data to the researchers, we are building a huge scientific instrument that spans the globe to bring the data to the researchers."
At universities across the United States and at other institutions around the world, teams of computer research scientists and physicists are preparing for the largest physics experiment ever.
"Like an exercise session getting you ready for the big game, we've been going to the physics gym," Hacker says. "We are testing the ability of the infrastructure using simulation data. At Purdue, everyone is building and testing systems to make sure the computing infrastructure is ready when the detector comes online later this year."
The collider will give protons a pop hoping to catch a glimpse of the Big Bang, or at least the subatomic particles that are thought to have last been seen at the big event 10 billion to 15 billion years ago that led to the formation of the universe. The CERN collider will begin producing data in November, and from the trillions of collisions of protons it will generate 15 petabytes of data per year.
By comparison, 15 petabytes would be the equivalent of all of the information in all of the university libraries in the United States seven times over. It would be the equivalent of 22 Internets, or more than 1,000 Libraries of Congress. And there is no search function.
"Once this data is distributed to the physicists at the universities, they will require massive amounts of computing power and data storage in order to analyze it," Hacker says. "When the data transfer is live, we will stream data out to physicists as we quickly as we can - real time if possible."
The experiment has a name only a scientist could love: the CERN CMS project. CERN is the abbreviation for the European Organization for Nuclear Research, and CMS is the abbreviation for compact muon solenoid, a type of electromagnet.
CMS is an electronic detector that is searching for never-before-detected subatomic particles, especially a particle known as Higgs boson, which is a missing piece in the jigsaw puzzle of the theory of particle physics (boson is the name physicists give subatomic particles with particular properties). If discovered, it would be an entirely new type of matter.
Page: 1 of 4(Digg, Technorati, more)
White Paper: HPC in a Green and Modular Solution Building Block
Learn how the Appro GreenBlade™ System helps consolidate server, storage, network, power and simplified management capabilities in a single package while providing the performance-density, energy-efficiency and best ROI for your business.
Petascale Computing: Algorithms and Applications, edited by David A. Bader, is the first book in CRC's Computational Science Series, edited by Horst Simon. Although the book is a collection of papers, Bader has done an excellent job of creating a compilation that holds together and covers a broad topic very well.
Read More...
Cilk++ used in parallelization of the FP-tree algorithm for pattern mining; Istanbul benchmark results posted; and the latest on the NVIDIA Tesla shortage. John West recaps those stories and more in our weekly wrap-up.
Read More...
Last week's International Supercomputing Conference (ISC'09) was a convenient excuse for vendors to announce a raft of new products, but three, in particular, stood out.
Read More...
Jul 01 | GenomeWeb Daily News | The popularity of cloud computing in the life sciences community was on full display at April's Bio-IT World conference. Read more...
Jul 01 | Linux Magazine | How can getting to the ocean help with HPC computing? Read more...
Jun 29 | GCN.com | Agency issues RFI for "Ubiquitous High Performance Computing" systems. Read more...
Jun 29 | Computerworld | The bottom of the TOP500 reveals the coming revolution in truly accessible high-end computing. Read more...
Jun 18 | EE Times | Parallel software also takes spotlight at Stanford confab. Read more...
Apr 14 | | Many HPC IT departments are feeling the rising pressure to deliver more capacity computing and performance while trying to reduce the total cost of ownership. This white paper discusses how an environmentally-friendly and open-standards HPC building block based computing system using flexible interconnect options helps address capacity computing needs.
Source: Addison Snell, GM/VP, Tabor Research; sponsored by Dell
Many organizations that could benefit from the use of HPC clusters find that it is complicated to get the systems up and running because of limited IT resources or the complexities of the clusters themselves. Learn how the Intel Cluster Ready program, for which Dell was an original partner, seeks to address this challenge for entry level and mid-range HPC users.
BlueArc's Titan architecture represents an evolutionary step in file servers by creating a hardware-based file system that can scale bandwidth, IOPS, and overall data capacity well beyond conventional software-based devices. With its ability to virtualize a massive storage pool of up to four usable petabytes of tiered storage, Titan can scale with growing data requirements, offering a competitive advantage for businesses, researchers, or other enterprises seeking to better manage data growth while still ensuring optimal performance.
Sun Studio Compilers and Tools and Sun HPC ClusterTools allow you to create high performance parallel applications for OpenSolaris, Solaris and Linux. Sun Studio Express 11/08 includes MPI performance analysis capabilities and full OpenMP 3.0 compiler support. Learn about all this and the latest in Sun HPC ClusterTools 8.1.