Nvidia
CSCS Top Right Frontpage
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report

Tabor Communications
Corporate Video

Moscow State University Supercomputer Has Petaflop Aspirations


The Moscow State University (MSU) supercomputer, Lomonosov, has been selected for a high-performance makeover, with the goal of nearly tripling its current processing power to achieve petaflop-level performance in 2010. T-Platforms, who developed and manufactured the supercomputer, is the odds-on favorite to lead the project.

Lomonosov supercomputer

With a current Linpack mark of 350 teraflops (peak: 420 teraflops), Lomonosov needs to generate an additional 650 teraflops of performance to achieve its goal. No small task. So far, there are only two computers that have broken the Linpack petaflop barrier, Jaguar at Oak Ridge National Lab, which holds the number one position on the TOP500 list, and Roadrunner at Los Alamos National Lab, with the number two spot. Lomonosov ranks 12th on the most recent edition of the TOP500 list and is the largest HPC system in the CIS and Eastern Europe.

Officials at Moscow State University held a meeting this week in order to establish a budget for the petaflops revamping of the Lomonosov system. According to Russian State Duma Speaker Boris Gryzlov, MSU has prepared a feasibility study on the effectiveness of creating a petaflops supercomputer, and the matter will be brought up to the President and Chairman of the government for approval.

Total university funding in 2010 from the Russian federal government will amount to 1.5 billion rubles ($51 million). The anticipated cost of increasing the computer's performance to reach petaflop-level is about 900 million rubles, or almost $31 million, according to Moscow State University President Victor Sadovnichy. MSU has already invested 350 million rubles ($12 million) in the Lomonosov system, and the total project cost so far is 1.9 billion rubles ($65 million). MSU is ready to provide up to a quarter of the cost of hardware, said Sadovnichy.

Apparently, the amounts specified to upgrade the system refer only to the procurement and installation of equipment, and do not include system maintenance and electricity costs. Current power requirements are around 5 MW, which, according to Sadovnichy, is comparable to powering a small city.

"Lomonosov" and its predecessor "Chebyshev"  are responsible for many research breakthroughs, including an inhibitor of thrombin (a substance retarding the effect of the main component of blood clotting), as well as the development of urokinase, a possible cancer treatment. In addition to these undertakings, Lomonosov has been kept busy modeling climate processes, factoring large integers to solve cryptographic problems, and calculating the noise in turbulent environments.

The renovation work for transforming Lomonosov into a petaflop system is being put to a competitive bid, but is seems likely that T-Platforms will get the contract since it is the only Russian manufacturer with the know-how to implement such a project. And there's a partiality toward assigning work to national interests. State Duma Speaker Boris Gryzlov, who backs the creation of a domestic petaflop supercomputer, prefers to support domestic producers of supercomputers, and urged caution against the procurement of foreign goods.

Mikhail Kozhevnikov, commercial director for T-Platforms, has already prepared a bid and decided upon an upgrade path for the petaflop system. The details of the proposed architecture have not been publicly declared, however a good guess would be that they're going to add new nodes based on the Westmere EP Xeon processors Intel just announced.

Specifically, since the current MSU super is based on the T-Blade2, Xeon X5570 2.93 GHz, it's not unreasonable to think they're bidding T-Blade3 blades using Xeon X5670 2.93 GHz parts (note, the T-Blade3 don't actually exist yet). Since the new Xeons only deliver about 40 percent more computational performance per blade than the existing ones, they'll still need a bunch more servers. Alternatively, they could be thinking about upgrading with the upcoming NVIDIA Fermi GPU server boards, due out in May. That would get them to a petaflop with a lot less hardware. (A dual-socket X5670 server would yield about 250 DP gigaflops; a 4-GPU Fermi server would probably deliver over 2 DP teraflops.)

Russian Prime Minister Vladimir Putin has allocated 1.1 billion rubles ($37 million) to develop supercomputer technologies in Russia, according to a recent APA report, further demonstrating Russia's desire to possess a world-class computer system, one that may be capable of a place among the top 5 of the revered TOP500 list. Barring any unforeseen circumstances, it looks like the Lomonosov upgrade will go forward, and Russia will take its place on the exclusive short-list of petaflop systems. But, in HPC, the final goal is always a moving target, as other groups also race for the coveted petaflops level and beyond.

This article relied in part on a recent CNews article.

Sponsored Links

High-Performance Computing in Action
Businesses that want to be on the cutting edge of their industries are increasingly turning to high-performance computing (HPC) solutions to handle complex compute processes and speed up their rate of innovation. Download this Executive Brief to see how businesses in energy, life sciences and entertainment put HPC solutions to work in their operations.

Webinar: Programming Heterogeneous X64+GPU Systems Using OpenACC
Join Michael Wolfe as he compares the advantages and costs of using both low-level models and the directive-based OpenACC model for programming accelerated heterogeneous systems. Registration is free.

Accelerate your science with Seneca
One of the first HPC providers installing a 4X NVIDIA Kepler K-20 cluster. Invites you to a free evaluation on Seneca’s NVIDIA K20 Kepler cluster, pre-loaded with AMBER, NAMD, LAMMPS

May 21, 2013

May 20, 2013

May 17, 2013

May 16, 2013

May 15, 2013

May 14, 2013

May 13, 2013

May 10, 2013

May 09, 2013

May 08, 2013


Most Read Features

Most Read Around the Web

Most Read This Just In

Cray CS300-LC

Short Takes

Running Computational Fluid Dynamics in the Cloud

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.
Read more...

Computing the Physics of Bubbles

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.
Read more...

Internet2 Awards Program Seeks Innovative Applications

May 10, 2013 | Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...

Floating Funding to Exascale Island

May 09, 2013 | The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...

HPC and the True Cost of Cloud

May 08, 2013 | For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

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.

Progress in Parallel: the Bull Parallel Programming Center

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.

Sponsored Multimedia

SGI DMF ZeroWatt Disk Solution

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.

Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video

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.

SC12 Editorial Feature HPCwire Soundbite sponsored by ISC Xyratex

HPC Job Bank


Featured Events


  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States





HPCwire Events