A collaboration from RIKEN, the Tokyo Institute of Technology, and University College Dublin won top place in the June 2014 Graph 500 supercomputer ranking using the K computer, which is located in Kobe, Japan. The results were announced on June 23 at the international conference on high-performance computing (ISC14) being held in Leipzig, Germany.
The Graph 500 ranking is a relatively new benchmark, first issued in 2010, which seeks to gauge the ability of supercomputers on data-intensive loads rather than simple speed, with the goal of improving computing involving complex data problems in five key areas: cybersecurity, medical informatics, data enrichment, social networks, and symbolic networks.
While the TOP500 ranking measures the ability of a computer to solve a system of linear equations with the LINPACK benchmark, in the Graph500 the speed of a breadth-first graph search, measured by number of traversed edges per second (TEPS) is used, with "edges" indicating the connection between two data points. Breadth-first searches, which are commonly used for Big Data applications, involve a substantially larger degree of irregular computations than the LINPACK benchmark.
To conduct the benchmark measurement, Koji Ueno of Tokyo Institute of Technology and RIKEN, along with colleagues, used 65,536 of the K computer’s 88,128 compute nodes, and was able to solve a breadth-first search of an extremely large graph of 1 trillion nodes and 16 trillion edges in 0.98 second. With this achievement it gained the top place with a score of 17,977 gigaTEPS. The K computer was trailed by Sequoia at the Lawrence Livermore Laboratory in the USA, with a score of 16,599 gigaTEPS, and Mira at the Argonne National Laboratory in the USA, with a score of 14,328.
The K computer’s triumph under the new ranking shows that it excels not only at regular parallel computing but also at graph analysis, which relies heavily on irregular computations, and demonstrates the flexibility of K in application to a wide range of applications. According to Kimihiko Hirao, Director of the RIKEN Advanced Institute for Computational Science, “It is also testimony to the talent of the team’s high software development skills which helped them to make optimum use of the K’s powerful hardware.”
“We are delighted,” he adds, “to have won this prize, as it demonstrates the K computer’s usefulness for tackling complex phenomenon taking place in the real world, which has become increasingly key for computers in recent years.”
Two research projects funded by Japan Science and Technology Agency (JST) CREST programs contributed to this achievement: “Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers” (PI: Prof. Katsuki Fujisawa of Kyushu University and Co-PI: Prof. Toyotaro Suzumura of University College Dublin), which is a project in the research area of Development of System Software Technologies for Post-Peta Scale High Performance Computing (Research Supervisor: Prof. Akinori Yonezawa of RIKEN), and “EBD: Extreme Big Data - Convergence of Big Data and HPC for Yottabyte Processing” (PI: Prof. Satoshi Matsuoka of Tokyo Institute of Technology), which is a project in the Advanced Core Technologies for Big Data Integration area (Research Supervisor: Prof. Masaru Kitsuregawa of National Institute of Informatics).
For more information please contact:
Office for Research Communication
RIKEN Advanced Institute for Computational Science
RIKEN is Japan's largest research institute for basic and applied research. Over 2500 papers by RIKEN researchers are published every year in leading scientific and technology journals covering a broad spectrum of disciplines including physics, chemistry, biology, engineering, and medical science. RIKEN's research environment and strong emphasis on interdisciplinary collaboration and globalization has earned a worldwide reputation for scientific excellence.
Website: www.riken.jp/en/ Find us on Twitter at @riken_en
AICS was established in July 2010 with the objective of establishing the science of forecasting based on computer simulation. To this end, AICS manages the operation of the K computer by maintaining a user-friendly environment and promoting collaborative projects with a focus on the disciplines of computational science and computer science. The K computer was pronounced the most powerful computer in the world in 2011 and has been available for shared use since the autumn of 2012. It is currently being used by researchers from both academia and industry in projects aiming to solve global issues and advance knowledge in fields such as drug development, disaster prevention, new materials and solar energy.
Secure networks for the Internet of the future
25.08.2016 | Julius-Maximilians-Universität Würzburg
New microchip demonstrates efficiency and scalable design
23.08.2016 | Princeton University, Engineering School
Scientists and engineers striving to create the next machine-age marvel--whether it be a more aerodynamic rocket, a faster race car, or a higher-efficiency jet...
Waveguides are widely used for filtering, confining, guiding, coupling or splitting beams of visible light. However, creating waveguides that could do the same for X-rays has posed tremendous challenges in fabrication, so they are still only in an early stage of development.
In the latest issue of Acta Crystallographica Section A: Foundations and Advances , Sarah Hoffmann-Urlaub and Tim Salditt report the fabrication and testing of...
Electrochemists at TU Graz have managed to use monocrystalline semiconductor silicon as an active storage electrode in lithium batteries. This enables an integrated power supply to be made for microchips with a rechargeable battery.
Small electrical gadgets, such as mobile phones, tablets or notebooks, are indispensable accompaniments of everyday life. Integrated circuits in the interiors...
Recent findings indicating the possible discovery of a previously unknown subatomic particle may be evidence of a fifth fundamental force of nature, according...
A nanocrystalline material that rapidly makes white light out of blue light has been developed by KAUST researchers.
25.08.2016 | Event News
24.08.2016 | Event News
12.08.2016 | Event News
26.08.2016 | Health and Medicine
26.08.2016 | Earth Sciences
26.08.2016 | Life Sciences