IBM Stays Atop TOP500 By Sitting Tight

By Michael Feldman

June 23, 2009

A rare event occurred in the TOP500 saga today at the International Supercomputing Conference. The top two systems from six months ago, IBM’s Roadrunner at Los Alamos National Lab and Cray’s Jaguar at Oak Ridge National Lab, didn’t budge at all. The number 1 and 2 supers have the same performance rating they had six month ago and remain the only petaflop supercomputers in the world — Linpack-wise.

Most HPC watchers, including me, thought Oak Ridge would have finally run the Linpack benchmark on both Jaguar subsystems and turned in the expected 1.2 petaflop result to knock IBM off its TOP500 perch. The official story is that the Oak Ridge boys didn’t want to take up days of valuable computer time running a vanity benchmark, instead of running real science codes with the machines. I’ve got to believe that this is essentially true. These days most of the big labs and established supercomputing centers — the only organizations that can afford such systems — don’t need any extra prestige from a TOP500 ranking and are more interested in running useful applications. If it had been any vendor but Cray though, I would have expected some arm-twisting and/or incentives to get Oak Ridge to run the benchmark.

There was some shuffling in the top 10 systems, although only four are new to the top spots. And of these, only two are brand new machines: Dawn, a 416 teraflop Blue Gene/P machine for Lawrence Livermore National Laboratory (and the precursor to the future 20 petaflop Sequoia system) debuts on the list at number nine; and JuRoPA, a 275 teraflop Bull/Sun hybrid cluster installed at Jülich Supercomputing Center, takes the 10 slot. JUGENE, a Blue Gene/P super, also at the Jülich Supercomputing Center was boosted to 825 teraflops to move into the number three slot behind Roadrunner and Jaguar, while Kraken, the upgraded Cray XT5 for the National Institute for Computational Sciences/University of Tennessee, comes in at number six with 463 teraflops.

As usual the top of the list was dominated by IBM and Cray. IBM claimed five of the top 10 systems and 17 of the top 50. Trailing Big Blue in eliteness, Cray placed two in the top 10 and 10 in the top 50. Overall though, IBM dominated the list, representing close to 40 percent of the aggregate processing performance on the TOP500, although HP has more total systems (212) than IBM (188). HP managed to accomplish this without having any systems in the top 10 and just four in the top 50.

As usual, most of the turnover took place in the bottom half of the list. The 500th system of the current list would have come in at number 274 in November 2008. That’s not quite the turnover the list displayed last year, but it’s about average historically. More importantly, for a year in which the global economy took a huge dive, these results make the supercomputing business look pretty resilient.

From a geographical point of view, only systems installed in the US and Germany made the top 10, with the US claiming 8 of those spots. As we look at the top 50 though, we get much more of an international flavor — China, India, Saudi Arabia, Canada, United Kingdom, Switzerland, Japan, France, Finland, Italy, Russia, and Sweden all claiming at least one system. As true in the past, the US continues to dominate the list, with 291 systems. Europe owns 145 systems and Asia has 49.

Other interesting data points (with values for one year ago in parentheses):

  • Aggregate for 500 systems: 22.6 petaflops (11.7 petaflops).
  • Aggregate for top 10 systems: 6.0 petaflops (3.2 petaflops).
  • Number of InfiniBand-based systems: 151 (121).
  • Number of Gigabit Ethernet-based systems: 282 (283).
  • Intel processor-based systems: 79.8 percent (74.8 percent).
  • AMD processor-based systems: 8.60 percent (11.2 percent).
  • Number of vector processor-based systems: 1 (2).

Overall, the general trend of the list continues to point to the first exaflop system by 2020. Although plenty of the HPC digerati have doubts about this timeline, ISC keynoter Andy Bechtolsheim focused his Tuesday morning talk on just this subject. Ever the optimist, Bechtolsheim pointed out that Moore’s Law, with a lot of help from multi-chip module (MCM) design, optical on-chip interconnects, and in-socket water cooling, should provide the technology required for an exaflop machine in 2020. According to Bechtolsheim, an 8nm process technology can be used to construct 10 teraflop processors, with 100,000 of them yielding an exaflop. The power required to run such a system? A mere 50 MW, he says. Hopefully, Bechtolsheim is right and gets invited back to ISC’20 to map out the path to zettaflop.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire