Visit additional Tabor Communication Publications
November 15, 2012
SALT LAKE CITY, Nov. 15 – ADVA Optical Networking and the University of Michigan are demonstrating how 100G technology can support large-scale sharing of scientific data and advanced data-intensive Research and Education (R&E) projects at SuperComputing 2012 (SC12). During the show, which takes place in Salt Lake City until November 15, ADVA Optical Networking and U-M are hosting a series of demonstrations using the ADVA FSP 3000 to connect servers at the ATLAS Great Lakes Tier-2 in Ann Arbor to Chicago over Michigan LambdaRail (MiLR) infrastructure, a high-speed network created jointly by the University of Michigan, Michigan State University, and Wayne State University. Advanced R&E community Internet2 is also participating by transporting the 100G signal from Chicago to the show floor in Salt Lake City. The demo highlights how this technology can be used to share resources and bring together multiple institutions and communities, facilitating complex big science applications and ground-breaking collaborative projects.
“MiLR provides low-cost, 10Gbit/s fiber optic connections to national and international research and education connection points, which facilitates collaboration to researchers throughout the world,” explained Roy Hockett, Network Architect of ITS Communications Systems at the University of Michigan. “Most big science cannot be done at a single institution; the work and information is distributed, and resources are shared. An example of this is U-M’s ATLAS Collaboratory Project, which aims to advance technologies and practices required for the organization and execution of modern, large-scale collaborative research experiments. As the process of discovering the Higgs Boson demonstrated, we need consolidation and interaction with multiple institutions to reap the benefits of big scale science.”
The ATLAS particle physics experiment at CERN in Geneva, Switzerland has over 2,500 members spread across the globe and links to the Large Hadron Collider (LHC) through a global grid infrastructure that connects partnering universities into national and regional centers. ATLAS collects massive amounts of data from the LHC, detecting and recording approximately a billion collisions per second, a data rate equivalent to twenty simultaneous telephone conversations by every person on the earth.
“This demonstration showcases how high-performance networks can support large, long-distance scientific data flows in leading data-intensive science programs,” said John Scherzinger senior VP sales for North America, ADVA Optical Networking. “The Large Hadron Collider, for example, produces around 15 petabytes of data every year. Sharing this massive amount of data with physicists all over the world requires significant computing power and a network powerful enough to handle it.”
Last year at SuperComputing 2011, Caltech HEP team along with University of Victoria and University of Michigan used the ADVA FSP 3000 within MiLR’s infrastructure to demonstrate how petabytes of data can be effectively transferred using highly tuned servers. This year’s demonstration will provide a preview of what is possible foupcoming data-intensive applications utilizing high-performance network infrastructures. It showcases a FTP 100 connection between Brookhaven National Labs (the US ATLAS Tier-1 site) and the University of Michigan’s ATLAS Great Lakes Tier-2 (a US ATLAS Tier-2 site) across a 100G infrastructure using newest generation servers. The FTP 100 project is a part of the DOE end-to-end 100Gbps network program, which aims to provide high-performance data transfer for a wide range of applications, climate simulation, bioinformatics, and data migration among cloud computing centers.
About ADVA Optical Networking
ADVA Optical Networking is a global provider of intelligent telecommunications infrastructure solutions. With software-automated Optical+Ethernet transmission technology, the Company builds the foundation for high-speed, next-generation networks. The Company’s FSP product family adds scalability and intelligence to customers’ networks while removing complexity and cost. With a flexible and fast-moving organization, ADVA Optical Networking forges close partnerships with its customers to meet the growing demand for data, storage, voice and video services. Thanks to reliable performance for more than 15 years, the Company has become a trusted partner for more than 250 carriers and 10,000 enterprises across the globe.
Source: ADVA Optical Networking
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.