HPC User Forum Wrap-Up

By John E. West

October 12, 2007

Industry research group IDC hosts five to six User Forum meetings around the world each year. About 100 people participated in the most recent meeting, representing government, industry and academia, as well as all the major HPC vendors. Each User Forum has a theme; this one focused on the use of HPC in the energy industry.

What follows is a subjective selection of highlights and topics of potential general interest from this meeting, which took place in Santa Fe, N.M. on Sept. 26-27.

The Keynote

The meeting keynote was delivered by Victor Reis, Senior Advisor, Office of the Secretary, Department of Energy. He has primary responsibility for the Global Nuclear Energy Partnership, part of President George W. Bush’s Advanced Energy Initiative, and he is also a member Strategic Advisory Group of the U.S. Strategic Command. Reis was the Director, Defense Research and Engineering when the DoD’s High Performance Modernization Program started, and he was a senior official at DOE when it began the ASCI (Accelerated Strategic Computing Initiative) program.

Reis reviewed the history of ASCI and what it has accomplished to date, and then discussed a potential new DOE program involving physics-based design of nuclear reactors for peaceful energy production. He feels that the timing is correct for instituting a new HPC program for this purpose and is gathering information to support such a program. He mentioned several potential modeling efforts that would contribute to the program, such as optimization of the nuclear reactor fuel cycle, design and qualification of new nuclear fuels, detailed modeling of new reactor designs, and environmental effects on nuclear reactors, particularly earthquakes. Several DOE talks followed which discussed modeling of fission reactors and the status of nuclear fusion research.

Energy-Related Discussions

The theme of this meeting was HPC in energy, so naturally there were several discussions of advanced energy research in addition to coverage in the keynote.

Keith Gray of BP discussed their seismic imaging research and development, which is designed to improve the information content of seismic images by processing with HPC capabilities. He specified several basic computational challenges and requirements: large-memory nodes for development work, easier parallel tools, effective use of emerging multicore systems, and bigger and better file systems.

Mark Nimlos of the National Renewable Energy Laboratory discussed the status of various forms of alternative energy sources and concentrated on his work in the biofuels program, which has a goal of replacing 30 percent of current transportation fuels with biofuels by 2030. He is carrying out sophisticated molecular dynamics computations  of how one of the key enzymes breaks down cellulose into sugars, with the intent of understanding how to optimize the process.

Pratul Agarwal of Oak Ridge National Laboratory, working in the same overall program, discussed the multiscale nature of biofuel processing and the need for collaborative efforts between experimental and computational work. His group is considering the use of new HPC technologies such as FPGAs and GPUs to accelerate the computation of the enzymatic pathways involved in the conversions of cellulose to sugars. He noted that the follow-on processing of sugars to alcohols (fermentation) was well understood, at least at the production level, because of the many thousands of years of experimentation by human beings in this process.

HPC Acquisition and Architectures

In addition to the domain-focused fare there were also several discussions of recent HPC acquisitions and new HPC architectures.

Rupak Biswas of NASA-Ames discussed their Columbia system and efforts underway to procure a replacement for it. He provided information on NASA’s HPC requirements as part of the discussion, highlighting growth of those requirements across several NASA directorates.

Richard Walsh of IDC, and formerly of the Army High Performance Computing Research Center (AHPCRC), provided his taxonomy of processor architectures and applications, stating that there were significant drivers toward heterogeneous processors in the near future.

John Daly of Los Alamos National Laboratory (LANL) discussed issues of running applications at large scale, including how to handle interrupts and how often to write out checkpoint/restart files. He showed data that indicated that even small jobs on really big systems might be at significant risk of an interrupt because of the dependence of mean-time-between-application-interrupt on numbers of job processors; instead of a linear dependence, the low-number-of-processor behavior of this interrupt time is considerably less than linear. This leads to alternative scheduling policies that emphasize large-number-of-processor jobs at the expense of long running times.

John Gustafson of ClearSpeed Technology provided some impressive speed-ups on a variety of application codes with their accelerator technology and also presented a rule of thumb estimate of current HPC system power per volume. According to him, this turns out to be about 70 watts per liter.

Finally, your very own John West gave a talk discussing what HPC systems will look like approximately ten years in the future. After talking to multiple industry sources, I envision a multicore future with general-purpose HPC systems of the 2017 era comprised of chips containing hundreds of computational cores per chip (not thousands), among other interesting features. This presentation was, of course, fascinating.

University Panel

One of the panels at the forum involved representatives from several universities involved in HPC and university-affiliated computer centers: Penn State, Ohio Supercomputer Center, Pittsburgh Supercomputing Center, San Diego Supercomputer Center, the University of Minnesota, the University of Nevada at Las Vegas, the University of Tennessee, Utah State University, and Virginia Tech.

There was extensive discussion of the role of university computing centers versus NSF national computing centers. As expected, the university computing centers would like NSF support for their niche in the overall structure. Many of these universities offer unique degree programs in computational science. One suggestion arising from the discussion was to develop a partnership among the federal agencies (NSF, DoD and DOE) to promote and support these educational programs in computational science.

Data Intensive Computing Environment (DICE)

Roger Panton of Avetech, the executive director of the Data Intensive Computing Environment (DICE) program, provided the history and status of that program. DICE was motivated by the HEC/RTF report of several years ago and is a partnership among DoD, NASA and DOE. The goal of the program is to set up a testbed to evaluate data management technologies that could improve data accessibility over geographically distributed sites. Current organization partners include Advanced Simulation and Computing (ASC), Ohio Supercomputer Center (OSC), NASA-Goddard, and Avetech; the High Performance Computing Modernization Program (HPCMP) participates through ASC. New sites will include the Pacific Northwest National Laboratory and Sandia National Laboratories. Roger discussed future partners and projects.

The next two U.S. meetings of the HPC User Forum are scheduled for April 14-16, 2008 in Norfolk, Va., and Sept. 8-10, 2008 in Tucson, Ariz. You can find out more about these events by clicking over to http://hpcuserforum.com.

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!

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…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates 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…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent 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…

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…

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…

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