ORNL’s Summit Supercomputer Named World’s Fastest

June 25, 2018

OAK RIDGE, Tenn., June 25, 2018  – The US Department of Energy’s Oak Ridge National Laboratory is once again officially home to the fastest supercomputer in the world, according to the TOP500 List, a semiannual ranking of the world’s fastest computing systems.

The recently launched Summit supercomputer was announced as No. 1 today at ISC High Performance in Frankfurt, Germany. The designation recognizes the IBM-built system as the science community’s most powerful computational tool for solving problems in energy, advanced materials, artificial intelligence, and other domains.

Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy.

Summit is the third ORNL system to be ranked No. 1 by TOP500, following in the footsteps of the Jaguar and Titan supercomputers. Jaguar ranked as the world’s fastest system in November 2009 and June 2010, while Titan held the title in November 2012.

“With Summit, researchers will be able to simulate and explore complex phenomena and obtain results in disciplines ranging from quantum materials and chemistry, advanced fission and fusion energy, to bioenergy and foundational biosciences, faster and in greater detail,” ORNL Director Thomas Zacharia said. “In addition to traditional modeling and simulation, Summit will also serve as an artificial intelligence and deep learning behemoth, capable of analyzing massive amounts of data and automating critical steps of the discovery process.”

The IBM Summit system reached a speed of 122.3 petaflops on the High-Performance Linpack benchmark test—the software used to evaluate and rank supercomputers on the TOP500 list. At its theoretical peak, Summit is capable of 200 petaflops, or 200,000 trillion calculations per second—about eight times more performance than its predecessor Titan.

“Scientists around the world have been working to develop supercomputers for years – but scientists at Oak Ridge National Laboratory just built the fastest one: ‘Summit,’” Sen. Lamar Alexander said. “According to the TOP500 list, the Department of Energy’s Oak Ridge National Laboratory today houses the most powerful and smartest supercomputer in the world, which is further proof that the area’s scientific brainpower, energy research and technological capabilities are some of the best in the world. I’m proud of this area and what we have been able to accomplish.”

Summit consists of 4,608 compute servers, each containing two 22-core IBM Power9 processors and six NVIDIA Tesla V100 graphics processing unit accelerators. Summit is interconnected with a dual-railMellanox EDR InfiniBand network, which provides overall 200 gigabits per second throughput to each compute server, and runs a standard Linux operating system from Red Hat in Red Hat Enterprise Linux. The system also possesses more than 10 petabytes of memory paired with high-bandwidth pathways for efficient data movement.

The combination of cutting-edge hardware and robust data subsystems marks an evolution of the hybrid CPU–GPU architecture successfully pioneered by Titan and a substantial step toward the goal of delivering the first US exascale supercomputer—a system capable of a billion billion double precision floating point operations per second.

“Leadership in supercomputing is a national priority, and Oak Ridge will continue to lead the way toward the next milestone: exascale computing,” said Congressman Chuck Fleischmann, TN-03. “The contributions of Oak Ridge to American innovation and scientific achievement are incalculable, and I congratulate the ORNL team for, yet again, making East Tennessee home to the world’s fastest supercomputer.”

In advance of Summit’s launch, scientists began using portions of the system to test and demonstrate its significant capabilities. The IBM system is planned to be made available to the research community through DOE’s user programs beginning with allocations made under the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) user program that will start in January 2019.

Potential uses for the world’s most powerful machine include applications in health care analytics for the nation’s veterans.

“I had a great visit to ORNL, and I was very impressed with the work being done there,” said Rep. Phil Rowe, TN-1. “Their partnerships on behalf of our nation’s veterans are a great asset, and I look forward to sharing what I learned with my colleagues on the House Committee on Veterans’ Affairs. As chairman, my goal is to ensure veterans have access to quality health care, and I appreciate ORNL’s shared commitment to this important goal.”

For the past three years, teams have been preparing their applications to run on Summit. A selection of the principal investigators of these application readiness teams includes:

  • Salman Habib of Argonne National Laboratory, whose team is modeling the large-scale structure and distribution of matter over the 13-billion-year lifespan of the universe.
  • Dmytro Bykov of Oak Ridge National Laboratory, whose team aims to describe the electronic structure of large molecular systems using quantum chemistry techniques, with targeted applications that include pharmacology and nanotechnology.
  • Abhishek Singharoy of Arizona State University, whose team is investigating the mechanics of a biological motor called ATP synthase in all-atom detail, a study which may aid the design of bioinspired clean energy technology.
  • Gaute Hagen of Oak Ridge National Laboratory, whose team is calculating the forces within atomic nuclei to study phenomena such as neutrinoless double-beta decay, a hypothesized form of radioactive decay.
  • Joe Oefelein of Georgia Tech, whose team is carrying out combustion simulations that closely match engine operating conditions to inform the design of fuel-efficient, low-emission engines.

UT-Battelle manages ORNL for the DOE’s Office of Science. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit http://science.energy.gov/.


Source: ORNL

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