Visit additional Tabor Communication Publications
August 24, 2012
This summer’s TOP500 list could be described as a changing of the guard with surprising countries capturing top 10 spots and the US reclaiming first place. Although China was the only BRIC nation (Brazil Russia, India, and China) to have any top ten systems, Russia is certainly making an effort to join that elite club.
Their Lomonosov supercomputer is currently ranked 22nd, with a Linpack rating of 901.9 teraflops. The country is keeping their sights on the top of the list though, with plans to deploy a faster system in the near future.
Today, Russia Beyond the Headlines reported on an announcement made by the Russian Academy of Sciences (RAS). The Academy plans to build a petascale supercomputer that rivals some of today’s fastest systems. The initial implementation is expected to come online by year’s end with a capacity of 2 petaflops. As such, the new supercomputer would likely become the country’s fastest system and most likely capture a top 10 ranking.
Reaching the petascale benchmark is certainly a feat upon itself, but the RAS has further plans for the unnamed system. After upgrades, the final deployment is expected to have a capacity of 10 petaflops. Currently, only two systems in the world can make that claim, Sequoia at Lawrence Livermore National Laboratory and Japan’s K computer.
In the Russia Beyond the Headlines report, Boris Shabanov, deputy director of the Joint Supercomputer Center at RAS, described the deployment timeline. “Our goal is to complete the first two elements by the end of the year, and then the technology will make it possible to upgrade its capacity to 10 petaflops within a reasonable time – over the next year – provided there is adequate investment,” he said. The RAS system is expected to cost around $63 million.
If the machine is fully upgraded over the next year as Shabanov expects, it may claim a top five position. By at that point, it will be competing with even more powerful systems, like Titan at Oak Ridge National Laboratory and Blue Waters at NCSA, as well as possible new entries from China.
Not much has been revealed regarding the specifics of the system, but Shabanov noted that energy efficiency is a key feature of the upcoming super and will employ a “unique cooling system” as well as and cutting-edge x86 coprocessors. The suggests the machine will rely on Xeon Phi (MIC) chips, Intel’s manycore acceleratore that is expected to debut before the end of the year. CPU and interconnect details weren’t revealed.
Russia began competing more seriously in the supercomputing arena after President Medvedev tasked scientists to catch up with the West. Over $140 million went into HPC in 2011, and over a billion dollars is being allocated to support Russia’s exascale push.
Full story at Russia Beyond the Headlines
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).
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.