Nine supercomputers have been tested, validated and ranked by the new “Graph500” challenge, first introduced this week by an international team led by Sandia National Laboratories. The list of submitters and the order of their finish was released Nov. 17 at the supercomputing conference SC10 meeting in New Orleans.
The machines were tested for their ability to solve complex problems involving random-appearing graphs, rather than for their speed in solving a basic numerical problem, today’s popular method for ranking top systems.
“Some, whose supercomputers placed very highly on simpler tests like the Linpack, also tested them on the Graph500, but decided not to submit results because their machines would shine much less brightly,” said Sandia computer scientist Richard Murphy, a lead researcher in creating and maintaining the test.
Murphy developed the Graph500 Challenge with researchers at the Georgia Institute of Technology, University of Illinois at Urbana-Champaign, and Indiana University, among others.
Complex problems involving huge numbers of related data points are found in the medical world where large numbers of medical entries must be correlated, in the analysis of social networks with their huge numbers of electronically related participants, or in international security where huge numbers of containers on ships roaming the world and their ports of call must be tracked.
Such problems are solved by creating large, complex graphs with vertices that represent the data points — say, people on Facebook — and edges that represent relations between the data points — say, friends on Facebook. These problems stress the ability of computing systems to store and communicate large amounts of data in irregular, fast-changing communication patterns, rather than the ability to perform many arithmetic operations. The Graph500 benchmarks are indicative of the ability of supercomputers to handle such complex problems.
The Graph500 benchmarks present problems in different input sizes. These are described as huge, large, medium, small, mini and toy. No machine proved capable of handling problems in the huge or large categories.
“I consider that a success,” Murphy said. “We posed a really hard challenge and I think people are going to have to work to do ‘large’ or ‘huge’ problems in the available time.” More memory, he said, might help.
The abbreviations “GE/s” and “ME/s” represented in the table below describe each machine’s capabilities in giga-edges per second and mega-edges per second — a billion and million edges traversed in a second, respectively.
Competitors were ranked first by the size of the problem attempted and then by edges per second.
The rankings were:
Rank #1 – Intrepid, Argonne National Laboratory – 6.6 GE/s on scale 36 (Medium)
Rank #2 – Franklin, National Energy Research Scientific Computing Center – 5.22 GE/s on Scale 32 (Small)
Rank #3 – cougarxmt, Pacific Northwest National Laboratory – 1.22 GE/s on Scale 29 (Mini)
Rank #4 – graphstorm, Sandia National Laboratories’ – 1.17 GE/s on Scale 29 (Mini)
Rank #5 – Endeavor, Intel Corporation, 533 ME/s on Scale 29 (Mini)
Rank #6 – Erdos, Oak Ridge National Laboratory – 50.5 ME/s on Scale 29 (Mini)
Rank #7 – Red Sky, Sandia National Laboratories – 477.5 ME/s on Scale 28 (Toy++)
Rank #8 – Jaguar, Oak Ridge National Laboratory – 800 ME/s on Scale 27 (Toy+)
Rank #9 – Endeavor, Intel Corporation – 615.8 ME/s on Scale 26 (Toy)
A more detailed description of the Graph500 benchmark and additional results are available at graph500.org. Any organization may participate in the ratings. The next Graph500 Challenge list is expected to be released at the International Supercomputing Conference 2011 next summer, and then at SC 2011 again in the fall.
Sandia National Laboratories is a multiprogram laboratory operated and managed by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration. With main facilities in Albuquerque, N.M., and Livermore, Calif., Sandia has major R&D responsibilities in national security, energy and environmental technologies, and economic competitiveness.
Sandia news media contact: Neal Singer, email@example.com (505) 845-7078
Neal Singer | EurekAlert!
NASA CubeSat to test miniaturized weather satellite technology
10.11.2017 | NASA/Goddard Space Flight Center
New approach uses light instead of robots to assemble electronic components
08.11.2017 | The Optical Society
The formation of stars in distant galaxies is still largely unexplored. For the first time, astron-omers at the University of Geneva have now been able to closely observe a star system six billion light-years away. In doing so, they are confirming earlier simulations made by the University of Zurich. One special effect is made possible by the multiple reflections of images that run through the cosmos like a snake.
Today, astronomers have a pretty accurate idea of how stars were formed in the recent cosmic past. But do these laws also apply to older galaxies? For around a...
Just because someone is smart and well-motivated doesn't mean he or she can learn the visual skills needed to excel at tasks like matching fingerprints, interpreting medical X-rays, keeping track of aircraft on radar displays or forensic face matching.
That is the implication of a new study which shows for the first time that there is a broad range of differences in people's visual ability and that these...
Computer Tomography (CT) is a standard procedure in hospitals, but so far, the technology has not been suitable for imaging extremely small objects. In PNAS, a team from the Technical University of Munich (TUM) describes a Nano-CT device that creates three-dimensional x-ray images at resolutions up to 100 nanometers. The first test application: Together with colleagues from the University of Kassel and Helmholtz-Zentrum Geesthacht the researchers analyzed the locomotory system of a velvet worm.
During a CT analysis, the object under investigation is x-rayed and a detector measures the respective amount of radiation absorbed from various angles....
The quantum world is fragile; error correction codes are needed to protect the information stored in a quantum object from the deteriorating effects of noise. Quantum physicists in Innsbruck have developed a protocol to pass quantum information between differently encoded building blocks of a future quantum computer, such as processors and memories. Scientists may use this protocol in the future to build a data bus for quantum computers. The researchers have published their work in the journal Nature Communications.
Future quantum computers will be able to solve problems where conventional computers fail today. We are still far away from any large-scale implementation,...
Pillared graphene would transfer heat better if the theoretical material had a few asymmetric junctions that caused wrinkles, according to Rice University...
15.11.2017 | Event News
15.11.2017 | Event News
30.10.2017 | Event News
17.11.2017 | Physics and Astronomy
17.11.2017 | Health and Medicine
17.11.2017 | Studies and Analyses