Visit additional Tabor Communication Publications
May 02, 2012
The exponential growth of scientific data has put considerable strain on existing research networks. Just five years ago, the United Nations International Panel on Climate Change (IPCC) was fed with 35 TB of data to use in developing its assessment report. In two years, when the next IPCC report is published, it is estimated that dataset will be up to 2 petabytes, more than a 57-fold increase.
To support the transfer of these massive buckets of bytes and advance adoption of faster communications technology, the government introduced the Advanced Networking Initiative (ANI). The program that was created with a $62 million pot of money that was scooped out of the 2009 federal stimulus package, also known as the American Recovery and Reinvestment Act (ARRA). At the heart of the initiative is a prototype 100Gbps testbed network, built by the Energy Sciences Network (ESnet), in collaboration with the Internet2 consortium.
The network currently connects the National Energy Research Computing Center, (NERSC) in California, the Argonne Leadership Computing Facility (ALCF) in Illinois, and the Oak Ridge Leadership Computing Facility (OLCF) in Tennessee. Brian Tierney, head of ESnet’s Advanced Networking Group, mentioned the network’s popularity with scientists in a recent article on the organization’s website.
“Our 100G testbed has been about 80 percent booked since it became available in January, which just goes to show that there are a lot of researchers hungry for a resource like this,” says Tierny.
While bandwidth is an integral component to moving information between facilities, applications also determine how effectively that data is transferred. The Climate 100 collaboration, also born from the ARRA, was tasked with developing new methods for moving extremely large amounts of climate data.
Mehmet Balman of the Berkeley Lab’s Scientific Data Management group and member of the Climate 100 collaboration, explains that advanced middleware applications are needed to handle the variety of small and large data across high-throughput networks. The Climate 100 group used the 100Gbps network as a testing environment for their applications.
The Climate 100 tool was used on the ANI testbed to demonstrate a 35 terabyte transfer of data between NERSC and ALCF. The operation took roughly 30 minutes to complete. Compared with a 10Gbps, the same transfer would have taken roughly five hours.
The ANI project is set to wind down in a few months, after which, the test network will be folded into ESnet’s fifth-generation production infrastructure.
Long distance networking has become a familiar bottleneck in scientific computing. As the dataset sizes continue their upward climb, these resources will be taxed even further. Projects like ANI display forward thinking from the government, at least when the federal money is flowing, and demonstrates the enabling effects of 100G bandwidth.
Full story at the Energy Science Network (ESnet) news site
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).
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
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.