Sequoia: The Next Generation of Supercomputer

By Markus Henkel

April 28, 2009

What would the former IBM chief executive Thomas Watson have to say about the current development taking place with computers? After all it was Watson who claimed in 1943 that the world would need about five computers. Today, that claim looks a little wayward, to say the least, with millions of computers being sold over-the-counter every year.

When computer performance is bundled together, we have what is known as a supercomputer. In the US, plans are already underway to build just such a computing colossus that will overshadow all previous such systems. The “Sequoia” project aims to build the first computer capable of reaching the 20 petaflop mark. In comparison, “Roadrunner,” currently the world’s fastest computer, just about manages a petaflop, meaning that “Sequoia” would make it look more like the world’s fastest calculator.

But what does 20 petaflops per second mean? Primarily, 20 petaflops is a value, a 20 with fifteen zeros, and is in itself nothing tangible. In order to form a better appreciation for what “Sequoia” with its 20 petaflops is capable of, it would take six billion people all equipped with calculators 1,000 years to do the calculations that “Sequoia” can manage in one day. That’s a scenario that in Watson’s day would have caused an uproar and been considered as being beyond even the wildest borders of fiction.

Before “Sequoia” is put into operation, another system will ensure that everything runs exactly to plan. The supercomputer “Dawn,” primarily a delivery system, will be based on Blue Gene/P technology and reach performances of over 500 teraflops. Both computers will work in tandem, although “Dawn” will afford users the opportunity of developing or adapting their applications for Blue Gene technology and to test and improve their scalability. “Dawn” is, as such, a typical porting and developing system. It will be the system on which applications are created and these applications will then execute operations and calculations in the petaflop range on “Seqouia.” Since there are not so many of these applications around, the supposedly smaller computer takes on added significance for users. They can undertake and carry out initial tests and studies and attempt to pave the way toward such petaflop applications.

The National Nuclear Security Administration, which commissioned the project, is a part of the US Department of Energy. It wants to see “Sequoia” in use by 2012. By then no fewer than 96 racks will provide accommodation for the 1.6 million IBM POWER processors. Klaus Gottschalk
According to official press releases, “Sequoia” will contribute to increased security and reliability of the United States nuclear arsenal. It goes without saying, of course, that other types of security aspects pertaining to the nuclear arsenal will be simulated, especially with regard to keeping a secure eye on aging materials. All over the world, scientists have been searching for solutions to problems raised by the safe disposal and storage of nuclear waste.

“We see the entire project from the point of view of the researcher,” said Klaus Gottschalk, IT Systems architect with IBM. “For him the use of the computer is easy to evaluate. Large sums are being invested to help drive development onwards.”

However, this giant machine is not only capable of turning nuclear research into visible, viewable action. The enormous potential offered by a 20 petaflop computer extends to far beyond nuclear weapons safety. According to IBM estimates, the supercomputer will be able to forecast weather up to 40 times more precisely than is possible today, and be invaluable in such areas as astronomy, energy, biotechnology and climate research. ”Modeling and simulation is crucial for ensuring the ability of our country to innovate and compete globally,” explained Dr. Cynthia McIntyre, Senior VP at the Council on Competitiveness.

At this point, IBM has not said exactly how much power “Sequoia” is going to need. But according to the company, the machine is set to break all records in this area as well. It has been estimated that it will be the world’s first computer to achieve an efficiency of 3,050 calculations per watt.

In terms of supercomputing, the US is no longer the only big player. The IBM-JUGENE system in Juelich, Germany, means Europe is currently ranked 11th in a list of the world’s 500 fastest computers compiled by the universities of Mannheim and Tennessee. Accordingly, the Juelich Research Center has been top of the tree in Europe for the last two years in terms of fastest computer. Plans are already afoot in Juelich to install the first petaflop computer in Europe — incidentally also from IBM — by the middle of this year.

In all probability, after an initial introduction, this supercomputer will force its way into the top three of the world’s fastest computers. It will be capable of one quadrillion computational operations per second. The new supercomputer’s roughly 295,000 processors will then be housed in 72 phonebox-sized cabinets in the computing labs of the Juelich Supercomputing Center. Replete with 144 terabytes of RAM, and together with the remaining computers at the research center, Juelich will then be operating at 1.3 petaflops per second. In addition to its high speed, the supercomputer will also have access to around 6 petabytes of hard disk. That more or less corresponds to sufficient memory to store all the information contained on over one million DVDs.

This will be the first machine built specifically for the Gauss Center, which has centers in Juelich, Stuttgart and Garching in Germany. The Gauss Allianz is a European-wide consortium that bundles the performance capacity of all Europe’s supercomputers. According to a spokesperson for the research centre at Juelich, “The three centers should speak with one voice and provide a counterpart and intermediary for scientists, particularly on the international stage.”

The Juelich Research Center’s main focus is to be found in fundamental research. The present Blue Gene/P system has around 20 applications that use up the majority of its computing time. Top of this list belongs to the quantum chromodynamics, or QCD, application. This application is closely related to quantum electrodynamics, which help describe the strong interactions of electrically-charged particles by means of exchange of photons — thus forming a theory from high energy physics.

In total, scientists from all manners of disciplines — from materials science through particle physics to medicine and environmental research — will have the opportunity to book themselves some computer time on the Juelich system. An independent committee of experts will then decide on which plans are best suited and allocate computing time accordingly. Researchers will be pleased at the enthusiasm for investment in such projects. Achim Bachem, chairman of the research center, states confidently, “Computers capable of this kind of performance form a universal key technology in helping find solutions to the most complex and most urgent scientific problems.”

About the Author

Markus Henkel is a geodesist, science writer and lives in Hamburg, Germany. He writes about supercomputing, environmental protection and clinical medicine. For more information, email him at [email protected] or visit the Web site: http://laengsynt.de.

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!

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…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's 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 Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t 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…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark 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…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire