Argonne and Parallel Works Inc. Win FLC Recognition for Commercializing Lab’s Machine Learning-Based Design Optimization Software Technology

September 23, 2021

Sept. 23, 2021 — The U.S. Department of Energy’s (DOE) Argonne National Laboratory and Parallel Works, Inc., a Chicago-based HPC software platform company, have won the Federal Laboratory Consortium’s (FLC) Midwest Regional Award for Excellence in Technology Transfer for bringing Argonne’s Machine Learning–Genetic Algorithm (ML-GA) design optimization software to commercialization.

A schematic of Argonne’s ML-GA optimization algorithm. (Image by Argonne National Laboratory.)

The recognition marks the second major success for the pair. Argonne won an award of $750,000 three years ago from the DOE’s Vehicle Technologies Office, within the Office of Energy Efficiency and Renewable Energy, through the Technology Commercialization Fund (TCF) program to integrate novel features into ML-GA and make it more efficient and portable. It streamlines the process of integrating the software with Parallel Works’ commercial platform.

Current industry standards for design, which have long favored computer simulation over physical experimentation, remain remarkably slow. Advanced engines for automotive applications, for example, contain many design parameters which can become time consuming and costly to optimize, even with computer modeling.

The ML-GA technology solves this critical problem.

By embedding machine learning into the design process, ML-GA dramatically speeds up computer-aided engineering simulation-driven virtual prototyping, shrinking the product development phase from a few months to a few days — and, in doing so, brings down computational costs as well.

Pinaki Pal, a research scientist in Argonne’s Center for Transportation Research (CTR), led the effort for the laboratory.

If you are able to design a product in a much shorter timeframe, you are also accelerating its development and introduction to the market,” he said. ​This was a big success. Our ML-GA technology can be incredibly useful for design optimization of products in a variety of markets.”

Greg Halder, former scientist and current business development executive at Argonne, said he is thrilled to see the laboratory’s efforts in AI honored by such a prestigious organization.

This is particularly amazing because we are being recognized by our peers,” he said. ​This is a new, exciting technology. We are simply thrilled. This all came together rather quickly, moving from Argonne’s software discovery to commercial adoption in just a few years.”

The technology, Pal said, marks a major step forward in product design.

The difference between ML-GA and more traditional methods is that Argonne’s software learns from simulation data adaptively. Scientists run simulations in small batches — called iterations — and train a machine learning (ML) surrogate model on the simulation data. This surrogate model serves as a replacement for the simulation itself within a genetic algorithm (GA) optimization pipeline: The overall runtime is greatly reduced by this much faster surrogate model, which computes the objective functions very quickly.

Still, there are challenges to this approach. ML surrogate models may require a lot of simulation training data to achieve high accuracy. To circumvent this bottleneck, ML-GA uses a Super Learner framework which combines multiple ML algorithms to make predictions as good as or better than that made by each individual ML algorithm. In addition, an active learning technique is employed to select the best possible design points to simulate during each successive iteration.

This allows for efficient exploration of large design spaces — and dramatically reduces the number of simulations needed during the design process,” said Pal.

Argonne recently reported the benefits of these advanced ML-GA capabilities for automotive engine design optimization in a research article published in the renowned International Journal of Engine Research, in collaboration with Parallel Works, Inc., and Convergent Science, Inc.

ML-GA was recently licensed by Parallel Works, which was founded in 2015 by Michael Wilde, Matthew Shaxted and Michela Wilde. Parallel Works has close ties to the laboratory: It leverages open source HPC workflow automation technology developed by the laboratory with UChicago and the University of Illinois. And Michael Wilde was on entrepreneurial leave from the laboratory when he and his co-founders started their company.

Our team is excited to integrate Argonne’s advanced ML-GA technology with high performance computing and make it accessible through our Learner Works product family for use in critical industry applications and cutting-edge industrial research,” Wilde said.

Shaxted is eager to see the results. Parallel Works hopes the new technology will improve customer experience and add significant value for engineers in a wide variety of government and commercial manufacturing industries, including automotive design, heavy equipment design, consumer goods packaging and hydrological engineering.

The company is also working with government and industry researchers to evaluate its use in oceanographic exploration, weather prediction and life science discovery.

Our customers are increasingly focused on achieving the cost-saving benefits of machine learning technology to design improved products and deliver advanced services,” said Shaxted, president of the company. ​Parallel Works provides easy and scalable access to these benefits and is thrilled to be part of the team receiving this FLC honor.”

Suresh Sunderrajan, associate laboratory director for Argonne’s Energy and Global Security directorate, was elated by the honor.

By recognizing Argonne’s efforts to develop and commercialize this unique software technology, the FLC award exemplifies success in our mission to positively impact energy production, storage, conversion, distribution and efficiency,” he said.

The awardees will be celebrated during the FLC Midwest & Southeast Regional Meeting held virtually from September 2123.

The FLC was organized in 1974. More than 300 federal laboratories, facilities and research centers and their parent agencies make up the FLC community today.

The Office of Energy Efficiency and Renewable Energy supports early-stage research and development of energy efficiency and renewable energy technologies to strengthen U.S. economic growth, energy security, and environmental quality.

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

The U.S. Department of Energy’s 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, visit https://​ener​gy​.gov/​s​c​ience.


Source: Jo Napolitano, Argonne National Laboratory

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!

U.S. Quantum Director Charles Tahan Calls for NQIA Reauthorization Now

February 29, 2024

(February 29, 2024) Origin stories make the best superhero movies. I am no superhero, but I still remember what my undergraduate thesis advisor said when I told him that I wanted to design quantum computers in graduate s Read more…

pNFS Provides Performance and New Possibilities

February 29, 2024

At the cusp of a new era in technology, enterprise IT stands on the brink of the most profound transformation since the Internet's inception. This seismic shift is propelled by the advent of artificial intelligence (AI), Read more…

Celebrating 35 Years of HPCwire by Recognizing 35 HPC Trailblazers

February 29, 2024

In 1988, a new IEEE conference debuted in Orlando, Florida. The planners were expecting 200-300 attendees because the conference was focused on an obscure topic called supercomputing, but when it was announced that S Read more…

Forrester’s State of AI Report Suggests a Wave of Disruption Is Coming

February 28, 2024

The explosive growth of generative artificial intelligence (GenAI) heralds opportunity and disruption across industries. It is transforming how we interact with technology itself. During this early phase of GenAI technol Read more…

Q-Roundup: Google on Optimizing Circuits; St. Jude Uses GenAI; Hunting Majorana; Global Movers

February 27, 2024

Last week, a Google-led team reported developing a new tool - AlphaTensor Quantum - based on deep reinforcement learning (DRL) to better optimize circuits. A week earlier a team working with St. Jude Children’s Hospita Read more…

AWS Solution Channel

Shutterstock 2283618597

Deep-dive into Ansys Fluent performance on Ansys Gateway powered by AWS

Today, we’re going to deep-dive into the performance and associated cost of running computational fluid dynamics (CFD) simulations on AWS using Ansys Fluent through the Ansys Gateway powered by AWS (or just “Ansys Gateway” for the rest of this post). Read more…

Argonne Aurora Walk About Video

February 27, 2024

In November 2023, Aurora was ranked #2 on the Top 500 list. That ranking was with half of Aurora running the HPL benchmark. It seems after much delay, 2024 will finally be Aurora's time in the spotlight. For those cur Read more…

Royalty-free stock illustration ID: 1988202119

pNFS Provides Performance and New Possibilities

February 29, 2024

At the cusp of a new era in technology, enterprise IT stands on the brink of the most profound transformation since the Internet's inception. This seismic shift Read more…

Celebrating 35 Years of HPCwire by Recognizing 35 HPC Trailblazers

February 29, 2024

In 1988, a new IEEE conference debuted in Orlando, Florida. The planners were expecting 200-300 attendees because the conference was focused on an obscure t Read more…

Forrester’s State of AI Report Suggests a Wave of Disruption Is Coming

February 28, 2024

The explosive growth of generative artificial intelligence (GenAI) heralds opportunity and disruption across industries. It is transforming how we interact with Read more…

Q-Roundup: Google on Optimizing Circuits; St. Jude Uses GenAI; Hunting Majorana; Global Movers

February 27, 2024

Last week, a Google-led team reported developing a new tool - AlphaTensor Quantum - based on deep reinforcement learning (DRL) to better optimize circuits. A we Read more…

South African Cluster Competition Team Enjoys Big Texas HPC Adventure

February 26, 2024

Texas A&M University's High-Performance Research Computing (HPRC) hosted an elite South African delegation on February 8 - undergraduate computer science (a Read more…

A Big Memory Nvidia GH200 Next to Your Desk: Closer Than You Think

February 22, 2024

Students of the microprocessor may recall that the original 8086/8088 processors did not have floating point units. The motherboard often had an extra socket fo Read more…

Apple Rolls out Post Quantum Security for iOS

February 21, 2024

Think implementing so-called Post Quantum Cryptography (PQC) isn't important because quantum computers able to decrypt current RSA codes don’t yet exist? Not Read more…

QED-C Issues New Quantum Benchmarking Paper

February 20, 2024

The Quantum Economic Development Consortium last week released a new paper on benchmarking – Quantum Algorithm Exploration using Application-Oriented Performa Read more…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia Wins SC23, But Gets Socked by Microsoft’s AI Chip

November 16, 2023

Nvidia was invisible with a very small booth and limited floor presence, but thanks to its sheer AI dominance, it was a winner at the Supercomputing 2023. Nv 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…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y Read more…

Royalty-free stock illustration ID: 1675260034

RISC-V Summit: Ghosts of x86 and ARM Linger

November 12, 2023

Editor note: See SC23 RISC-V events at the end of the article At this year's RISC-V Summit, the unofficial motto was "drain the swamp," that is, x86 and Read more…

China Deploys Massive RISC-V Server in Commercial Cloud

November 8, 2023

If the U.S. government intends to curb China's adoption of emerging RISC-V architecture to develop homegrown chips, it may be getting late. Last month, China 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…

Leading Solution Providers

Contributors

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…

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…

Chinese Company Developing 64-core RISC-V Chip with Tech from U.S.

November 13, 2023

Chinese chip maker SophGo is developing a RISC-V chip based on designs from the U.S. company SiFive, which highlights challenges the U.S. government may face in 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…

Royalty-free stock illustration ID: 1182444949

Forget Zettascale, Trouble is Brewing in Scaling Exascale Supercomputers

November 14, 2023

In 2021, Intel famously declared its goal to get to zettascale supercomputing by 2027, or scaling today's Exascale computers by 1,000 times. Moving forward t 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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire