Physicists Win Supercomputing Time to Study Fusion and the Cosmos

December 12, 2017

Dec. 12, 2017 — More than 210 million core hours on two of the most powerful supercomputers in the nation have been won by two teams led by researchers at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL). The highly competitive awards from the DOE Office of Science’s INCITE (Innovative and Novel Impact on Computational Theory and Experiment) program will accelerate the development of nuclear fusion as a clean and abundant source of energy for generating electricity and will advance understanding of the high-energy-density (HED) plasmas found in stars and other astrophysical objects.

A single core hour represents the use of one computer core, or processor, for one hour. A laptop computer with only one processor would take some 24,000 years to run 210 million core hours.

“Extremely important and beneficial”

“These awards are extremely important and beneficial,” said Michael Zarnstorff, deputy director for research at PPPL. “They give us access to leadership-class highest-performance computers for highly complex calculations. This is key for advancing our theoretical modeling and understanding.” Leadership-class computing systems are high-end computers that are among the most advanced in the world for solving scientific and engineering problems.

The allocations include more than 160 million core hours for physicist C.S. Chang and his team, marking the first year of a renewable three-year award. The first-year hours are distributed over two machines: 100-million core hours on Titan, the most powerful U.S supercomputer, which can perform some 27 quadrillion (1015) calculations per second at the Oak Ridge Leadership Computing Facility (OLCF); and 61.5 million core hours on Theta, which completes some 10 quadrillion calculations a second at the Argonne Leadership Computing Facility (ALCF).  Both sites are DOE Office of Science User Facilities.

Also received are 50 million core hours on Titan for Amitava Bhattacharjee, head of the Theory Department at PPPL, and William Fox and their team to study HED plasmas produced by lasers.

Chang’s group consists of colleagues at PPPL and other institutions and will use the time to run the XGC code developed by PPPL and nationwide partners.  The team is exploring the dazzlingly complex edge of fusion plasmas with Chang as lead principal investigator of the partnership center for High-fidelity Boundary Plasma Simulation — a program supported by the DOE Office of Science’s Scientific Discovery through Advanced Computing (SciDAC). The edge is critical to the performance of plasma that fuels fusion reactions.

Fusion — the fusing of light elements

Fusion is the fusing of light elements that most stars use to generate massive amounts of energy – and that scientists are trying to replicate on Earth for a virtually inexhaustible supply of energy. Plasma – the fourth state of matter that makes up nearly all the visible universe – is the fuel they would use to create fusion reactions.

The XGC code will perform double-duty to investigate developments at the edge of hot, charged fusion plasma. The program will simulate the transition from low- to high-confinement of the edge of fusion plasmas contained inside magnetic fields in doughnut-shaped fusion devices called tokamaks. Also simulated will be the width of the heat load that will strike the divertor, the component of the tokamak that will expel waste heat and particles from future fusion reactors based on magnetic confinement such as ITER, the international tokamak under construction in France to demonstrate the practicality of fusion power.

The simulations will build on knowledge that Chang has achieved in the previous-cycle SciDAC project.  “We’re just getting started,” Chang said. “In the new SciDAC project we need to understand the different types of transition that are thought to occur in the plasma, and the physics behind the width of the heat load, which can damage the divertor in future facilities such as ITER if the load is too narrow and concentrated.”

Advancing progress in understanding HED plasmas

The Bhattacharjee-Fox award, the second and final part of a two-year  project, will advance progress in the team’s understanding of the dynamics of magnetic fields in HED plasmas. “The simulations will be immensely beneficial in designing and understanding the results of experiments carried out at the University of Rochester and the National Ignition Facility at Lawrence Livermore National Laboratory” Bhattacharjee said.

The project explores the magnetic reconnection and shocks that occur in HED plasmas, producing enormous energy in processes such as solar flares, cosmic rays and geomagnetic storms. Magnetic reconnection takes place when the magnetic field lines in plasma converge and break apart, converting magnetic energy into explosive particle energy. Shocks appear when the flows in the plasma exceed the speed of sound, and are a powerful process for accelerating charged particles.

To study the process, the team fires high-power lasers at tiny spots of foil, creating plasma bubbles with magnetic fields that collide to form shocks and come together to create reconnection. “Our group has recently made important progress on the properties of shocks and novel mechanisms of magnetic reconnection in laser-driven HED plasmas,” Bhattacharjee said. “This could not be done without INCITE support.”

PPPL, on Princeton University’s Forrestal Campus in Plainsboro, N.J., is devoted to creating new knowledge about the physics of plasmas — ultra-hot, charged gases — and to developing practical solutions for the creation of fusion energy. The Laboratory is managed by the University for the U.S. Department of Energy’s Office of Science, which is the largest single supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov(link is external).


Source: PPPL

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!

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the University of Chicago, leads Chameleon. This innovative projec Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable quantum memory framework. “This work provides a promising Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, 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 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…

Shutterstock 1748437547

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin 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…

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…

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…

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…

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