RIKEN’s K-Computer Continues to Top Graph 500 List of World’s Fastest Supercomputers

Graph 500 ranking provides broader measure of computers’ overall speed


Ben Snedeker, Communications Manager

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The latest list of the world's fastest computers was released today during the ACM/IEEE Supercomputing 2016 conference being held this week in Salt Lake City.

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  • Graph 500 Graph 500

The K-Computer continues to top the Graph 500 ranking of the world’s fastest supercomputers. The latest list was released Nov. 15 in conjunction with the ACM/IEEE Supercomputing 2016 conference being held this week in Salt Lake City.

Built by Fujitsu and operated by Japanese research institute RIKEN, The K-Computer has dominated the Graph 500 since July 2015. Following the K-Computer is the Sunway TaihuLight, operated by China's National Supercomputing Center, at No. 2. Ranking third on the new list is Sequoia at Lawrence Livermore in California.

Developed by a small cadre of well-known supercomputing experts, which includes Georgia Tech School of Computational Science and Engineering Chair David Bader, the Graph 500 list is updated every six months during major supercomputing conferences. It is recognized as a leading indicator of development and investment into high-performance computing (HPC) worldwide, and often reveals trends regarding which technologies are popular in the machines.

The latest list was presented by the Graph 500 executive committee, which includes Richard Murphy, director of Micron’s Advanced Computing Solutions Pathfinding and cofounder of the Graph 500; Peter Kogge, Ted H. McCourtney Professor in the Department of Computer Science and Engineering at Notre Dame; Andrew Lumsdaine, University of Washington and Pacific Northwest National Laboratory distinguished faculty, and Georgia Tech’s Bader.

The Graph 500 measures performance against three kernels: search, optimization (single-source shortest path), and edge-oriented. Results on these kernels are informative for application performance in business areas as diverse as cybersecurity, medical informatics, social networks, data enrichment, and symbolic networks such as the human brain.

“Regardless of the domain, the overarching goal of HPC is to overcome global problems by harnessing and leveraging the power of data,” said Murphy. “It is exciting to see the Graph 500 list evolve as we continue to push forward on large-scale data analytics and architectural challenges we face in developing memory and interconnects for these powerful machines.”

Complementing the Graph 500 is the Top 500 list, which is also updated every six months during high-profile HPC conferences. The Top 500 evaluates machines based on how they solve a linear system of equations.

“In this new age of big data, we need to measure not just how quickly computers can chew on sets of numbers, but rather how quickly computers can build knowledge from massive-scale data sets,” said Bader. “That’s the difference between Top 500 and Graph 500.”

According to Lumsdaine, “The top machines in the Graph 500 are different than those in the Top 500, so we know we are measuring these machines along different dimensions. More and varied information is always important when evaluating machines at the scale and cost of these top machines.”

The Graph 500 is directed by a steering committee of more than 30 international HPC experts from academia, industry, and national laboratories.

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College of Computing, School of Computational Science and Engineering, School of Computer Science

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  • Created By: Ben Snedeker
  • Workflow Status: Published
  • Created On: Nov 15, 2016 - 1:21pm
  • Last Updated: Nov 16, 2016 - 8:11am