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Top ‘Big Data’ award for UCD Professor Toyotaro Suzumura

Monday, 20 July, 2015 

A collaboration between RIKEN, the Tokyo Institute of Technology, University College Dublin, Kyushu University, and Fujitsu has won top place for the K computer in the June 2015 Graph 500 supercomputer ranking. The results were announced on July 13 at the international conference on high-performance computing (ISC2015) in Frankfurt, Germany.

The Graph 500 ranking is a relatively new benchmark, first issued in 2010, which seeks to measure the ability of supercomputers based on data-intensive loads, rather than simple speed, with the goal of improving computing involving complex data problems. Its application is in areas such as cybersecurity, medical informatics, data enrichment, social networks, symbolic networks, and modeling neuronal circuits in the brain.

Two research projects funded by Japan Science and Technology Agency (JST) CREST programmes 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. Mitsuhisa Sato of RIKEN. Professor Suzumura is a visiting associate Professor in the Performance Engineering Laboratory at the UCD School of Computer Science and Informatics.

“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).

Kimihiko Hirao, Director of the RIKEN Advanced Institute for Computational Science, says, “We are very happy to have received this award. The K computer has consistently shown itself to be a very powerful instrument for data-intensive loads, performing well in this category. We plan to continue to use the computer’s power to take on projects involving modeling processes that take place in the real world, contributing where possible to the improvement of society.”