NETL Supercomputer Accelerates Development & Cuts Costs for Innovative Energy Technologies

June 19, 2019

June 19, 2019 — NETL’s highly ranked Joule 2.0 supercomputer is breaking barriers by accelerating the development of innovative, cost-effective energy technologies to ensure affordable, reliable energy for all Americans.

The high-performance system ranks 21st in the United States and 55th in the world per the latest rankings by TOP500, announced today. A recent $16.5 million upgrade boosted Joule’s computational power by nearly eight times, enabling researchers to tackle more challenging problems than ever before as they work to make more efficient use of the nation’s vast fossil fuel resources.

Image Courtesy of NETL

Named for the familiar unit of energy, Joule allows researchers to model energy technologies, simulate challenging phenomena and solve complex calculations using computational tools that save time and money to ensure that technology development ultimately proves successful. The upgrade work more than tripled the number of central processing unit (CPU) cores — from 24,192 to 73,240 — and added graphics processing units to further enhance simulations of advanced energy technologies.

The upgrade to Joule 2.0 also boosted the system’s computational power to 5.767 PFLOPS, meaning that it can perform more than 5 quadrillion calculations per second. That’s equivalent to roughly 54,658 desktop computers combined. Other interesting facts about Joule 2.0:

  • Joule’s total memory is 271 terabytes, or about the same as 68,033 desktop computers.
  • Joule 2.0 can store 11.6 petabytes of data, which equates to almost 1,181 copies of the information stored by the Library of Congress.
  • Joule 2.0 has a network bandwidth of 83.2 terabytes per second — enough capacity to simultaneously stream 10.4 million high-definition movies on Netflix.
  • A gifted mathematician working 40 hours a week for 50 weeks per year would take about 55.9 billion years to do what Joule 2.0 can do in one second. Alternatively, 1 billion people working 40 hours a week for 50 weeks per year would take about 55.9 years to do what Joule 2.0 can do in one second.
  • Sixty-seven trillion sheets of paper and 1.68 trillion pens would be required to write out the results of the operations performed every second by Joule 2.0.

Joule is used by a broad range of NETL projects and programs aimed at developing technological solutions to America’s energy challenges, from deepening our understanding of advanced combustion processes to optimizing chemical reactor designs. A study conducted prior to the upgrade indicated that Joule impacts more than 50 percent of the Lab’s research publications, in which information is shared with the research community to accelerate technology development.

“Joule is a fundamental piece of scientific infrastructure at NETL,” Chief Information Officer Antonio Ferreira said. “Computational science enables us to simulate experiments that would cost thousands, maybe even millions, of dollars in a controlled environment and look at things that we can’t always look at when we conduct an experiment — whether it’s examining individual atoms in an alloy to determine its strength or looking at the efficiency of a gas turbine operating at a power plant. Studying those things computationally allows us to consider many more options in a way that saves time and money. That means when we build the next generation of power plants to serve the United States for the next 50 years, we’re able to consider more many more designs and come up with a power plant that does a better job and provides cheaper energy with a reduced impact on the environment.”

NETL recently welcomed U.S. Senator Shelley Moore Capito, U.S. Representative David McKinley, U.S. Department of Energy Assistant Secretary for Fossil Energy Steven Winberg and a representative from U.S. Senator Joe Manchin’s office to celebrate the upgrade at a dedication event held June 14 at the Lab’s Morgantown, West Virginia, site. While Joule is based in Morgantown, dedicated space for collaboration and simulation work is also provided at NETL’s sites in Pittsburgh and Albany, Oregon.

Supercomputing is essential in achieving NETL’s mission to discover, integrate and mature technology solutions that enhance the nation’s energy foundation and protect the environment for future generations. By expediting technology development through computational science and engineering, Joule helps NETL cut costs, save time and spur valuable economic investments with a global impact.

 


Source: NETL 

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…

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…

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…

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