The August 2022 issue of IEEE Spectrum is here!

Close bar

New Supercomputer Ranking Shows China Still on Top

The TOP500 ranking shows little change in the world's fastest supercomputers

2 min read
Tianhe-2 supercomputer
China's Tianhe-2 remains the world champ.
Photo: AP Images

The TOP500 supercomputer ranking, published today, shows China’s Tianhe-2 supercomputer remaining at the top of the heap, with its 33.86 petaflops/s. The number-two spot also remains unchanged: Oak Ridge National Laboratory’s Titan supercomputer, which can run at 17.59 petaflops/s.

Indeed, there is little change in the top 10 positions, with only two new names appearing in that elite group, Trinity (number 6, managed and operated by Los Alamos and Sandia National Laboratories) and Hazel-Hen (number 8, at Höchstleistungsrechenzentrum Stuttgart). These systems were both installed in 2015, as was Saudi Arabia’s Shaheen II supcomputer, which ranks 9th. The seven other supercomputers in this grouping date from 2013 or earlier.

As you’d expect with such little turn over at the top of the list, the overall rate of growth in performance of the world’s top supercomputers has been slowing in recent years. But the summed performance of the world’s 500 fastest supercomputers is still up by 55 petaflops/s over the TOP500’s June 2015 ranking.

If there’s any take-home message coming through from today’s ranking, it’s the growing dominance of Chinese supercomputers on the world’s stage. China now has 109 supercomputers in the top 500, up from just 37 in July. At the same time, the U.S. share has dropped from 231 to 200. And the European component is also down, from 141 in July to 108 now.

If China ends up using its computing behemoths to significantly advance its industrial prowess, companies in other parts of the world might well worry about the trajectory evidenced in today’s rankings. But that, of course, is a big “if.”

RANKNAMESITERMAX(TFLOPS/S)
Not much change was reported in the world's 10 most powerful supercomputers.
1Tianhe-2National Super Computer Center in Guangzhou
China
33,862.7
2TitanDOE/SC/Oak Ridge National Laboratory
United States
17,590.0
3SequoiaDOE/NNSA/LLNL
United States
17,173.2
4K computerRIKEN Advanced Institute for Computational Science (AICS)
Japan
10,510.0
5MiraDOE/SC/Argonne National Laboratory
United States
8,586.6
6TrinityDOE/NNSA/LANL/SNL
United States
8,100.9
7Piz DaintSwiss National Supercomputing Centre (CSCS)
Switzerland
6,271.0
8Hazel HenHLRS - Höchstleistungsrechenzentrum Stuttgart
Germany
5,640.2
9Shaheen IIKing Abdullah University of Science and Technology
Saudi Arabia
5,537.0
10StampedeTexas Advanced Computing Center/Univ. of Texas United States5,168.1

The Conversation (0)

Quantum Error Correction: Time to Make It Work

If technologists can’t perfect it, quantum computers will never be big

13 min read
Quantum Error Correction: Time to Make It Work
Chad Hagen
Blue

Dates chiseled into an ancient tombstone have more in common with the data in your phone or laptop than you may realize. They both involve conventional, classical information, carried by hardware that is relatively immune to errors. The situation inside a quantum computer is far different: The information itself has its own idiosyncratic properties, and compared with standard digital microelectronics, state-of-the-art quantum-computer hardware is more than a billion trillion times as likely to suffer a fault. This tremendous susceptibility to errors is the single biggest problem holding back quantum computing from realizing its great promise.

Fortunately, an approach known as quantum error correction (QEC) can remedy this problem, at least in principle. A mature body of theory built up over the past quarter century now provides a solid theoretical foundation, and experimentalists have demonstrated dozens of proof-of-principle examples of QEC. But these experiments still have not reached the level of quality and sophistication needed to reduce the overall error rate in a system.

Keep Reading ↓Show less
{"imageShortcodeIds":["29986363","29986364"]}