Scientific Machine Learning Enables Potential to Design at ‘Near-Interactive Speeds’

May 21, 2020

May 21, 2020 — Researchers are developing deep learning methods to dramatically reduce the cost and turnaround of conceptual design computations for complex energy systems. The project, led by researchers from the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin, will demonstrate these methods for optimal shape design of aircraft wings. However, it is being developed as a platform that can be applied to improve design processes across a broad range of energy systems.

3D aircraft model. Credit: Oden Institute for Computational Engineering and Sciences

“The goal is to be able to execute design studies at near-interactive speeds,” says project lead Dr. Omar Ghattas of the Oden Institute and Professor of Mechanical Engineering and Geological Sciences at UT Austin. “This is in contrast to current state-of-the-art, where such design studies take weeks or months even with modern high performance computing power.”

The team of Omar Ghattas and Karen Willcox from the Oden Institute has been awarded a $1.6 million grant to develop these methods as part of the Department of Energy’s ARPA-E DIFFERENTIATE initiative, a new program seeking to “enhance the pace of energy innovation by incorporating machine learning into the energy technology development process.”

Alongside Joaquim Martins from Aerospace Engineering at the University of Michigan, the team are using ‘scientific machine learning’ – an approach that blends scientific computing with machine learning. They will apply their formidable computational modeling and simulation expertise to create efficient, accurate, and scalable deep neural network (DNN) representations of solution of design optimization problems.

Specifically, they will focus on the problem of optimizing the shape of aircraft wings to improve aerodynamic performance and efficiency.

But the methodology developed will be broadly applicable to design and control problems common to various fluid dynamic design problems, including wind turbines, turbine engines, ship hulls, submersibles, and automotive bodies.

Inverse Design

The DIFFERENTIATE program identifies mathematical optimization problems common to many design processes, such as inverse design: tackling a problem in reverse, working backward from the desired performance (effect) to compute the design (cause).

Inverse problems are some of the most important problems in science and mathematics because they tell us about features that we cannot directly observe.

DNNs designed for use in a traditional forward problem solution approach (calculating the effect given the cause) are predicated on the availability of massive amounts of training data. When it comes to building a DNN for the inverse problem, generating that training data could quickly become prohibitively expensive, since it entails computing a large number of optimal designs, each requiring many forward model solutions.

That’s where the team bring in their new mathematical ideas, which exploit the low-dimensional structure underlying the inverse design problem to reduce the training data required and guide the training process.

“Our guiding principle is this: the simplest machine learning model that explains the optimal design data is the best,” Ghattas stressed.

“Not just to make the technology more widely accessible but because in doing so we avoid overfitting the model to the data, which leads to the inability to predict unseen data.”

“It’s about making aerodynamic design optimization accessible to a much broader set of industrial users,” Ghattas said. “We know these technologies can enable faster, cheaper and more energy efficient design and production methods. So they should also be universally available.”

About Oden Institute for Computational Engineering and Sciences

The Oden Institute for Computational Engineering and Sciences is an organized research unit created to foster the development of interdisciplinary programs in computational sciences and engineering (CSE), mathematical modeling, applied mathematics, software engineering, and computational visualization. The Institute currently supports 12 research centers and alliances and nine research groups, and with additional units still in the planning stages.


Source: Oden Institute for Computational Engineering and Sciences

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Hyperion: HPC Server Market Ekes 1 Percent Gain in 2020, Storage Poised for ‘Tipping Point’

May 12, 2021

The HPC User Forum meeting taking place virtually this week (May 11-13) kicked off with Hyperion Research’s market update, covering the 2020 period. Although the HPC server market had been facing a 6.7 percent COVID-re Read more…

Finland’s CSC Chronicles the COVID Research Performed on Its ‘Puhti’ Supercomputer

May 11, 2021

CSC, Finland’s IT Center for Science, is home to a variety of computing resources, including the 1.7 petaflops Puhti supercomputer. The 682-node, Intel Cascade Lake-powered system, which places about halfway down the T Read more…

IBM Debuts Qiskit Runtime for Quantum Computing; Reports Dramatic Speed-up

May 11, 2021

In conjunction with its virtual Think event, IBM today introduced an enhanced Qiskit Runtime Software for quantum computing, which it says demonstrated 120x speedup in simulating molecules. Qiskit is IBM’s quantum soft Read more…

AMD Chipmaker TSMC to Use AMD Chips for Chipmaking

May 8, 2021

TSMC has tapped AMD to support its major manufacturing and R&D workloads. AMD will provide its Epyc Rome 7702P CPUs – with 64 cores operating at a base clock of 2.0GHz – implemented in HPE's single-socket ProLian Read more…

Supercomputer Research Tracks the Loss of the World’s Glaciers

May 7, 2021

British Columbia – which is over twice the size of California – contains around 17,000 glaciers that cover three percent of its landmass. These glaciers are crucial for the Canadian province, which relies on its many Read more…

AWS Solution Channel

FLYING WHALES runs CFD workloads 15 times faster on AWS

FLYING WHALES is a French startup that is developing a 60-ton payload cargo airship for the heavy lift and outsize cargo market. The project was born out of France’s ambition to provide efficient, environmentally friendly transportation for collecting wood in remote areas. Read more…

Meet Dell’s Pete Manca, an HPCwire Person to Watch in 2021

May 7, 2021

Pete Manca heads up Dell's newly formed HPC and AI leadership group. As senior vice president of the integrated solutions engineering team, he is focused on custom design, technology alliances, high-performance computing Read more…

Hyperion: HPC Server Market Ekes 1 Percent Gain in 2020, Storage Poised for ‘Tipping Point’

May 12, 2021

The HPC User Forum meeting taking place virtually this week (May 11-13) kicked off with Hyperion Research’s market update, covering the 2020 period. Although Read more…

IBM Debuts Qiskit Runtime for Quantum Computing; Reports Dramatic Speed-up

May 11, 2021

In conjunction with its virtual Think event, IBM today introduced an enhanced Qiskit Runtime Software for quantum computing, which it says demonstrated 120x spe Read more…

AMD Chipmaker TSMC to Use AMD Chips for Chipmaking

May 8, 2021

TSMC has tapped AMD to support its major manufacturing and R&D workloads. AMD will provide its Epyc Rome 7702P CPUs – with 64 cores operating at a base cl Read more…

Fast Pass Through (Some of) the Quantum Landscape with ORNL’s Raphael Pooser

May 7, 2021

In a rather remarkable way, and despite the frequent hype, the behind-the-scenes work of developing quantum computing has dramatically accelerated in the past f Read more…

IBM Research Debuts 2nm Test Chip with 50 Billion Transistors

May 6, 2021

IBM Research today announced the successful prototyping of the world's first 2 nanometer chip, fabricated with silicon nanosheet technology on a standard 300mm Read more…

LRZ Announces New Phase of SuperMUC-NG Supercomputer with Intel’s ‘Ponte Vecchio’ GPU

May 5, 2021

At the Leibniz Supercomputing Centre (LRZ) in München, Germany – one of the constituent centers of the Gauss Centre for Supercomputing (GCS) – the SuperMUC Read more…

Crystal Ball Gazing at Nvidia: R&D Chief Bill Dally Talks Targets and Approach

May 4, 2021

There’s no quibbling with Nvidia’s success. Entrenched atop the GPU market, Nvidia has ridden its own inventiveness and growing demand for accelerated computing to meet the needs of HPC and AI. Recently it embarked on an ambitious expansion by acquiring Mellanox (interconnect)... Read more…

Intel Invests $3.5 Billion in New Mexico Fab to Focus on Foveros Packaging Technology

May 3, 2021

Intel announced it is investing $3.5 billion in its Rio Rancho, New Mexico, facility to support its advanced 3D manufacturing and packaging technology, Foveros. Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

AMD Chipmaker TSMC to Use AMD Chips for Chipmaking

May 8, 2021

TSMC has tapped AMD to support its major manufacturing and R&D workloads. AMD will provide its Epyc Rome 7702P CPUs – with 64 cores operating at a base cl Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

CERN Is Betting Big on Exascale

April 1, 2021

The European Organization for Nuclear Research (CERN) involves 23 countries, 15,000 researchers, billions of dollars a year, and the biggest machine in the worl Read more…

HPE Launches Storage Line Loaded with IBM’s Spectrum Scale File System

April 6, 2021

HPE today launched a new family of storage solutions bundled with IBM’s Spectrum Scale Erasure Code Edition parallel file system (description below) and featu Read more…

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

Saudi Aramco Unveils Dammam 7, Its New Top Ten Supercomputer

January 21, 2021

By revenue, oil and gas giant Saudi Aramco is one of the largest companies in the world, and it has historically employed commensurate amounts of supercomputing Read more…

Quantum Computer Start-up IonQ Plans IPO via SPAC

March 8, 2021

IonQ, a Maryland-based quantum computing start-up working with ion trap technology, plans to go public via a Special Purpose Acquisition Company (SPAC) merger a Read more…

Leading Solution Providers

Contributors

Can Deep Learning Replace Numerical Weather Prediction?

March 3, 2021

Numerical weather prediction (NWP) is a mainstay of supercomputing. Some of the first applications of the first supercomputers dealt with climate modeling, and Read more…

AMD Launches Epyc ‘Milan’ with 19 SKUs for HPC, Enterprise and Hyperscale

March 15, 2021

At a virtual launch event held today (Monday), AMD revealed its third-generation Epyc “Milan” CPU lineup: a set of 19 SKUs -- including the flagship 64-core, 280-watt 7763 part --  aimed at HPC, enterprise and cloud workloads. Notably, the third-gen Epyc Milan chips achieve 19 percent... Read more…

Livermore’s El Capitan Supercomputer to Debut HPE ‘Rabbit’ Near Node Local Storage

February 18, 2021

A near node local storage innovation called Rabbit factored heavily into Lawrence Livermore National Laboratory’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan. Details of this new storage technology were revealed... Read more…

African Supercomputing Center Inaugurates ‘Toubkal,’ Most Powerful Supercomputer on the Continent

February 25, 2021

Historically, Africa hasn’t exactly been synonymous with supercomputing. There are only a handful of supercomputers on the continent, with few ranking on the Read more…

GTC21: Nvidia Launches cuQuantum; Dips a Toe in Quantum Computing

April 13, 2021

Yesterday Nvidia officially dipped a toe into quantum computing with the launch of cuQuantum SDK, a development platform for simulating quantum circuits on GPU-accelerated systems. As Nvidia CEO Jensen Huang emphasized in his keynote, Nvidia doesn’t plan to build... Read more…

New Deep Learning Algorithm Solves Rubik’s Cube

July 25, 2018

Solving (and attempting to solve) Rubik’s Cube has delighted millions of puzzle lovers since 1974 when the cube was invented by Hungarian sculptor and archite Read more…

The History of Supercomputing vs. COVID-19

March 9, 2021

The COVID-19 pandemic poses a greater challenge to the high-performance computing community than any before. HPCwire's coverage of the supercomputing response t Read more…

HPE Names Justin Hotard New HPC Chief as Pete Ungaro Departs

March 2, 2021

HPE CEO Antonio Neri announced today (March 2, 2021) the appointment of Justin Hotard as general manager of HPC, mission critical solutions and labs, effective Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire