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!
Information integration and artificial intelligence for better diagnosis and therapy decisions
24.05.2017 | Fraunhofer MEVIS - Institut für Bildgestützte Medizin
World's thinnest hologram paves path to new 3-D world
18.05.2017 | RMIT University
Staphylococcus aureus is a feared pathogen (MRSA, multi-resistant S. aureus) due to frequent resistances against many antibiotics, especially in hospital infections. Researchers at the Paul-Ehrlich-Institut have identified immunological processes that prevent a successful immune response directed against the pathogenic agent. The delivery of bacterial proteins with RNA adjuvant or messenger RNA (mRNA) into immune cells allows the re-direction of the immune response towards an active defense against S. aureus. This could be of significant importance for the development of an effective vaccine. PLOS Pathogens has published these research results online on 25 May 2017.
Staphylococcus aureus (S. aureus) is a bacterium that colonizes by far more than half of the skin and the mucosa of adults, usually without causing infections....
Physicists from the University of Würzburg are capable of generating identical looking single light particles at the push of a button. Two new studies now demonstrate the potential this method holds.
The quantum computer has fuelled the imagination of scientists for decades: It is based on fundamentally different phenomena than a conventional computer....
An international team of physicists has monitored the scattering behaviour of electrons in a non-conducting material in real-time. Their insights could be beneficial for radiotherapy.
We can refer to electrons in non-conducting materials as ‘sluggish’. Typically, they remain fixed in a location, deep inside an atomic composite. It is hence...
Two-dimensional magnetic structures are regarded as a promising material for new types of data storage, since the magnetic properties of individual molecular building blocks can be investigated and modified. For the first time, researchers have now produced a wafer-thin ferrimagnet, in which molecules with different magnetic centers arrange themselves on a gold surface to form a checkerboard pattern. Scientists at the Swiss Nanoscience Institute at the University of Basel and the Paul Scherrer Institute published their findings in the journal Nature Communications.
Ferrimagnets are composed of two centers which are magnetized at different strengths and point in opposing directions. Two-dimensional, quasi-flat ferrimagnets...
An Australian-Chinese research team has created the world's thinnest hologram, paving the way towards the integration of 3D holography into everyday...
24.05.2017 | Event News
23.05.2017 | Event News
22.05.2017 | Event News
26.05.2017 | Life Sciences
26.05.2017 | Life Sciences
26.05.2017 | Physics and Astronomy