CU Aerospace Uses iForge Supercomputer to Improve Lasers, Manufacturing

October 4, 2016

Oct. 4 — The physics of the world around us are often too complex to fully model in a virtual environment. The complexity can bottleneck improvements in manufacturing, scientific research and development, and high-power lasers used for defeating ballistic missiles.

A relatively new software package called BLAZE Multiphysics from CU Aerospace is making what used to be too complex—simulating a range of laser physics within a flowing plasma, for example—a fully modeled reality for researchers. This was done by combining a number of new, reconfigurable physical models within BLAZE. The most innovative of these new models were recently validated using the National Center for Supercomputing Applications’ (NCSA) industry supercomputer iForge—an on demand resource for private companies performing large-scale simulations.

The new models can be applied in a wide range of scenarios but have been uniquely useful in modeling gas lasers. They were described in a paper published in mid-September by Director of Modeling and Simulation for CU Aerospace Andrew Palla. The multiphysics modeling capabilities in BLAZE have been 20 years in the making, and the software has been on the market for the past two years—with notable customers in the Department of Defense and industry.

Laser pointers are a type of “solid-state lasers,” meaning the beam is generated and amplified in a solid material. Gas lasers, on the other hand, rely on a gas, and as a result, typically produce a beam which can more effectively deliver high power over long distances.

“CU Aerospace engineers have cut through steel plating with a kilowatt-class gas laser at a distance of several feet over several seconds. The real question is, can you develop a far more powerful laser to do this to a ballistic missile almost instantly at 10 miles, 100 miles, 1,000 miles,” Palla said.

“To develop high-power lasers that operate over long distances, we need to represent the multiple layers of physics in one single virtual space. BLAZE can do that now,” Palla said.

Models researchers create independently to study lasers often leave out important physics due to the challenges associated with representing them numerically. For example, electric discharge physics are often left assumed constant, or “frozen,” in gas laser models; in reality, they’re far from constant. And since these discharge physics influence other processes crucial to the formation of the actual beam, researchers end up with incomplete models.

“Unless you have all of these different physical processes and unless you are correctly representing the rates at which they’re all occurring, you’re not going to get the right answer,” Palla said. “Our software can handle all of these different physics—fluid-dynamics, optical-physics, discharge physics, etc.—in one coupled simulation, and that’s particularly innovative.”

Not Just Lasers

BLAZE is versatile and isn’t just used for simulating laser physics. Researchers can develop their own models and combine them with existing ones provided with the BLAZE simulation engine to virtually prototype innovative solutions to manufacturing, and engineering research and development challenges.

Philippe Geubelle, head of the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign and an NCSA Faculty Fellow, is working with CU Aerospace to analyze and design a new kind of heat exchanger made of a microvascular fiber-reinforced composite material.

“These microvascular composites are made using sacrificial fibers. You place these fibers in the preform, and go through the traditional manufacturing process. Then, you raise the temperature a little bit, and the sacrificial fibers get vaporized and you get these very nice channels,” Geubelle said, adding that the manufacturing method has strong potential for self-healing and actively-cooled composite materials.

For the heat exchanger, the different processes at play range from temperature to flow rates for the fluids down to the shape of the channels—with almost unending possibilities for changing each. Using BLAZE and iForge, Guebelle and his team hope to narrow down the choices to a design that results in the most efficient heat exchanger.

“This from a simulation perspective is not an easy thing to do because it’s a multiphysics problem, Geubelle said. “It combines fluid flow and thermal modeling, which are two different physics worlds. BLAZE’s code is excellent for solving this multi-physics problem.”


Source: Austin Keating, NCSA

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!

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing 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 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…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, 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…

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…

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…

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