Cray Supercomputers Get a Workout at Oak Ridge

By Nicole Hemsoth

October 27, 2006

With 54 teraflops of computing power, Oak Ridge National Laboratory's Cray XT3 is helping solve scientific grand challenges, but scheduling the many research projects and keeping the massive machine operating at peak capacity are challenges of their own.

The Cray, known as Jaguar, requires a complex infrastructure that can cool more than 5,000 dual-core processors; ensure reliable power; maintain optimum operation; and accommodate future expansion.

The facilities at ORNL are among the few in the world that meet these and other demanding criteria required for computer simulations at this scale in chemistry, combustion, astrophysics, biology, fusion, climate and physics.

Big science and the accompanying big applications that make the best use of the machine receive priority. In fact, ORNL frequently has a single project that uses all of the processors for up to 24 hours. The constant goal is to make the most of the computing resource.

“We have people and programs to ensure that we're utilizing the computer as efficiently as possible,” said Doug Kothe, director of science for the National Center for Computational Sciences. “That's part of our duty and responsibility to the taxpayers who support this leadership-class open resource.”

Built in to the design of Jaguar is the ability to detect and compensate for failures likely to occur in such a complex system. ORNL and Cray have people dedicated full time to keeping the machine operating.

Allocations of computing time (processor hours) for research projects are made under the U.S. Department of Energy's Innovative and Novel Computational Theory and Experiment program. Coordinated by DOE's Office of Science, INCITE is open to all scientific researchers and research organizations, including industry. The program is intended for computationally intensive research projects of large scale that can make high-impact scientific advances through the use of a large allocation of computer time, resources and data storage. Proposals are for projects that run for one to three years.

In the first phase of the INCITE awards process, proposals undergo a technical readiness review.

“We look at how the applications will utilize the capabilities of the Leadership Computing Facility supercomputing resources and make recommendations based on the scalability and performance of those applications,” said Ricky Kendall, group leader for the Scientific Computing Group at the Center for Computational Sciences. The technical readiness review team consists of scientists with diverse backgrounds and expertise in computational science.

In the second phase, DOE convenes a panel that reviews all aspects of the proposals for general scientific merit and comparisons are made across scientific disciplines. Proposals for 2007 awards were due in September. The panel will make recommendations to DOE, which will announce the awards in December.

Last year's call for INCITE proposals resulted in 43 submissions requesting more than 95 million processor hours. The proposals covered 11 scientific disciplines: accelerator physics, astrophysics, chemical sciences, climate research, computer science, engineering physics, environmental science, fusion energy, life sciences, materials sciences and nuclear physics.

A total of 18.2 million processor hours were awarded for 2006 INCITE and Leadership Computing Facility projects. Eighty percent of the Cray leadership-class computers — Jaguar and Phoenix — at ORNL are available to INCITE. Counting allocation awards from previous years, some 30 million processor hours are being run this year on ORNL's Jaguar and another nearly 6 million are being run on ORNL's Phoenix, a Cray X1E with 18.5 teraflops. The remaining allocations of computing time for this year were made for computers at Lawrence Berkeley, Argonne and Pacific Northwest national laboratories.

The largest Leadership Computing Facility project allocation at ORNL involves multidimensional simulations of core-collapse supernovae and consumes 3.55 million processor hours on Jaguar. The goal is to understand how stars more massive than 10 of our suns explode to produce many of the elements in the universe, like oxygen and iron, necessary for life. The lead researcher is Tony Mezzacappa of ORNL's Physics Division.

Next in line for processor hours with 3.5 million hours on Jaguar and 300,000 hours on Phoenix is a nano- and materials sciences project headed by Thomas Schulthess of the Computer Science and Mathematics Division and the Center for Nanophase Materials Sciences. The project is aimed at a better understanding of complex functional nanostructures, which could lead to more much faster and more energy efficient electronic devices, and better materials for energy storage, transmission and production.

A turbulent combustion project headed by Sandia's Jacqueline Chen is allocated 3 million Jaguar hours and 600,000 processor hours on Phoenix, and Don Batchelor of ORNL's Fusion Energy Division leads a wave-plasma simulation project also awarded 3 million processor hours on Jaguar. Batchelor's work could ultimately help solve one of the obstacles to making fusion a reality. Other users include Dreamworks Animation, The Boeing Company, General Atomics, Harvard University, Auburn University and the University of Washington/Howard Hughes Medical Institute.

The Jaguar is scheduled to be upgraded to 100 teraflops (100 trillion mathematical calculations per second) by the end of this year. ORNL is managed by UT-Battelle for the Department of Energy. More information about INCITE is available at http://hpc.science.doe.gov/allocations/incite/.

—–

Source: Oak Ridge 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!

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, 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, 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…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear 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 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