Call it “supercomputing smackdown.” Today, at the International Supercomputing Conference 2007 (ISC07) in Dresden, Germany, the Top500 groupannounced its latest list of the top 500 most powerful supercomputers in the world.
To say it’s a competitive list would be an understatement and few of the players can hold top spots long without constant improvements. With a few exceptions, this June’s list has seen a reshuffling since the last list was published last November.
If there is such a thing as a winner in such a competition, however, that would be IBM (Quote). Just as last November – the top 500 list is recompiled every six months – Big Blue held the top spot, with its Blue Gene/L – eServer Blue Gene Solution. In fact, IBM has taken that top spot four times running with the system deployed by the U.S. Department of Energy (DOE).
“The Blue Gene/L System development by IBM and DOE’s National Nuclear Security Administration (NNSA) and installed at DOE’s Lawrence Livermore National Laboratory in Livermore, Calif., claimed the No. 1 spot,” the Top500 group announced Wednesday.
That system achieved a blazing benchmark performance of 280.6 TFlops (“teraflops” or trillions of floating point operations per second) running what’s called the Linpack benchmark. (For those who are not mathematically challenged, the Top500 group says the point of the Linpack benchmark is “to solve a dense system of linear equations.”)
Interestingly, IBM’s performance with the Power-based Blue Gene/L System was identical to its score in November 2006 and in November 2005.(IBM says the system’s theoretical performance is 360 TFlops.)
Additionally, however, three other eServer Blue Gene systems made the top ten – last November, IBM only had two of the systems on the list. A fifth IBM system, a BladeCenter JS21 cluster system located at the Barcelona Supercomputing Center in Spain, and also Power-based, came in at number 9, down from the number 5 spot last November.
If that weren’t enough, a sixth IBM system, an eServer pSeries p5 575, also made the top ten.
Despite such a strong showing, however, Big Blue doesn’t completely dominate. Neither is it the only company whose supercomputers turned in teraflop performances.
Notably, Cray (Quote) supercomputers, powered by AMD processors, hold the number two and three spots on the new list. Both beat the 100 TFlop barrier with more than 101 TFlops apiece. Cray held the number two and ten spots last time.
Intel (Quote) chips are also represented in the top ten supercomputing sites with systems from Dell (Quote) in eighth place and SGI (Quote) at ten. Bumped from June 2007’s top ten were Bull SA and NEC/Sun.
Begun in 1993, this is the 29th Top500 list to be published. A lot has changed since then. As a matter of fact much has changed in just the last six months.
This article was first published on InternetNews.com. To read the full article, click here.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.