DOE’s HPC for Manufacturing Program Seeks Industry Proposals

June 13, 2017

LIVERMORE, Calif., June 13, 2017 — The U.S. Department of Energy’s (DOE) High Performance Computing for Manufacturing Program, designed to spur the use of national lab supercomputing resources and expertise to advance innovation in energy efficient manufacturing, is seeking a new round of proposals from industry to compete for $3 million.

Since its inception, the High Performance Computing for Manufacturing (HPC4Mfg) Program has supported projects partnering manufacturing industry members with DOE national labs to use laboratory HPC systems and expertise to upgrade their manufacturing processes and bring new clean energy technologies to market. The program’s portfolio includes small and large companies representing a variety of industry sectors. This is the fourth round of funding for this rapidly growing program.

The partnerships use world-class supercomputers and the science and technology expertise resident at the national laboratories, including Lawrence Livermore National Laboratory, which leads the program, principal partners Lawrence Berkeley (link is external)(LBNL) and Oak Ridge(link is external) (ORNL) national laboratories and other participating laboratories. An HPC expert at each lab teams up with U.S. manufacturers on solutions to address challenges that could result in advancing clean energy technology. By using HPC in the design of products and industrial processes, U.S. manufacturers can reap such benefits as accelerating innovation, lowering energy costs, shortening testing cycles, reducing waste and rejected parts and cutting the time to market. For more information about the program, see the web(link is external).

“U.S. manufacturers from a wide array of manufacturing sectors are recognizing that high performance computing can significantly improve their processes,” said Lori Diachin, an LLNL mathematician and director of the HPC4Mfg Program. “The range of ideas and technologies that companies are applying HPC to is expanding at a rapid rate, and they are finding value in both the access to supercomputing resources and the HPC expertise provided by the national laboratories.”

Concept proposals from U.S. manufacturers seeking to use the national labs’ capabilities can be submitted to the HPC4Mfg Program starting June 12. The program expects another eight to 10 projects worth approximately $3 million in total will be funded. Concept paper applications are due July 26.

HPC is showing potential in addressing a range of manufacturing and applied energy challenges of national importance to the United States. The HPC4Mfg Program releases biannual solicitations as part of a multiyear program to grow the HPC manufacturing community by enticing HPC expertise to the field, adding to a high-tech workforce, and enabling these scientists to make a real impact on clean energy technology and the environment. Past HPC4Mfg solicitations have highlighted energy intensive manufacturing sectors and the challenges identified in the Energy Department’s 2015 Quadrennial Technology Review. In this solicitation, the program continues to have a strong interest in these areas and are adding a special topic area of advanced materials.

A number of companies and their initial concepts will be selected and paired with a national lab HPC expert to jointly develop a full proposal this summer, with final selections to be announced in November. Companies are encouraged to highlight their most challenging problems so the program can identify the most applicable national lab expertise. More information about the HPC4Mfg Program, the solicitation call and submission instructions can be found on the web.

The Advanced Manufacturing Office within DOE’s Office of Energy Efficiency and Renewable Energy(link is external) provided funding to LLNL to establish the HPC4Mfg Program in March 2015. The Advanced Scientific Computing Research Program within DOE’s Office of Science supports the program with HPC cycles through its Leadership Computing Challenge allocation program. The National Renewable Energy Laboratory (NREL) also provides computing cycles to support this program.

HPC4Mfg recently announced the selection of new projects as part of a previous round of funding, including: LLNL and ORNL partnering with various manufacturers (Applied Materials, GE Global Research and United Technologies Research) to improve additive manufacturing processes that use powder beds to reduce material use, defects and surface roughness and improve the overall quality of the resulting parts; LBNL partnering with Samsung Semiconductor Inc. (USA) to improve the performance of semiconductor devices by enabling better cooling through the interconnects; Ford Motor Company partnering with Argonne National Laboratory to understand how manufacturing tolerances can impact the fuel efficiency and performance of spark-ignition engines; and NREL partnering with 7AC technologies to model liquid/membrane interfaces to improve the efficiency of air conditioning systems. In addition, one of the projects, a collaboration among LLNL, the National Energy Technology Laboratory and 8 Rivers Capital to study coal-based Allam cycle combustors will be co-funded by DOE’s Office of Fossil Energy.

Additional information about submitting proposals is available on the FedBizOps website(link is external)


Source: LLNL

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!

Slide Shows Samsung May be Developing a RISC-V CPU for In-memory AI Chip

June 19, 2024

Samsung may have unintentionally revealed its intent to develop a RISC-V CPU, which a presentation slide showed may be used in an AI chip. The company plans to release an AI accelerator with heavy in-memory processing Read more…

ASC24 Student Cluster Competition: Who Won and Why?

June 18, 2024

As is our tradition, we’re going to take a detailed look back at the recently concluded the ASC24 Student Cluster Competition (Asia Supercomputer Community) to see not only who won the various awards, but to figure out Read more…

Qubits 2024: D-Wave’s Steady March to Quantum Success

June 18, 2024

In his opening keynote at D-Wave’s annual Qubits 2024 user meeting, being held in Boston, yesterday and today, CEO Alan Baratz again made the compelling pitch that D-Wave’s brand of analog quantum computing (quantum Read more…

Apple Using Google Cloud Infrastructure to Train and Serve AI

June 18, 2024

Apple has built a new AI infrastructure to deliver AI features introduced in its devices and is utilizing resources available in Google's cloud infrastructure.  Apple's new AI backend includes: A homegrown foun Read more…

Argonne’s Rick Stevens on Energy, AI, and a New Kind of Science

June 17, 2024

The world is currently experiencing two of the largest societal upheavals since the beginning of the Industrial Revolution. One is the rapid improvement and implementation of artificial intelligence (AI) tools, while the Read more…

Under The Wire: Nearly HPC News (June 13, 2024)

June 13, 2024

As managing editor of the major global HPC news source, the term "news fire hose" is often mentioned. The analogy is quite correct. In any given week, there are many interesting stories, and only a few ever become headli Read more…

Slide Shows Samsung May be Developing a RISC-V CPU for In-memory AI Chip

June 19, 2024

Samsung may have unintentionally revealed its intent to develop a RISC-V CPU, which a presentation slide showed may be used in an AI chip. The company plans Read more…

Qubits 2024: D-Wave’s Steady March to Quantum Success

June 18, 2024

In his opening keynote at D-Wave’s annual Qubits 2024 user meeting, being held in Boston, yesterday and today, CEO Alan Baratz again made the compelling pitch Read more…

Shutterstock_666139696

Argonne’s Rick Stevens on Energy, AI, and a New Kind of Science

June 17, 2024

The world is currently experiencing two of the largest societal upheavals since the beginning of the Industrial Revolution. One is the rapid improvement and imp Read more…

Under The Wire: Nearly HPC News (June 13, 2024)

June 13, 2024

As managing editor of the major global HPC news source, the term "news fire hose" is often mentioned. The analogy is quite correct. In any given week, there are Read more…

Labs Keep Supercomputers Alive for Ten Years as Vendors Pull Support Early

June 12, 2024

Laboratories are running supercomputers for much longer, beyond the typical lifespan, as vendors prematurely deprecate the hardware and stop providing support. Read more…

MLPerf Training 4.0 – Nvidia Still King; Power and LLM Fine Tuning Added

June 12, 2024

There are really two stories packaged in the most recent MLPerf  Training 4.0 results, released today. The first, of course, is the results. Nvidia (currently Read more…

Highlights from GlobusWorld 2024: The Conference for Reimagining Research IT

June 11, 2024

The Globus user conference, now in its 22nd year, brought together over 180 researchers, system administrators, developers, and IT leaders from 55 top research Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. 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…

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…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then 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…

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…

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…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Leading Solution Providers

Contributors

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…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very 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…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po 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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire