Perlmutter-Powered Deep-Learning Model Speeds Extreme Weather Predictions

November 30, 2021

Nov. 30, 2021 — Climate change is one of the greatest challenges facing humanity today. To help address this, researchers from Lawrence Berkeley National Laboratory (Berkeley Lab), Caltech, and NVIDIA trained the Fourier Neural Operator (FNO) deep learning model — which learns complex physical systems accurately and efficiently — to emulate atmospheric dynamics and provide high-fidelity extreme weather predictions across the globe a full five days in advance.

The researchers used decades of data from ERA5, the European Center for Medium-range Weather Forecasts’ high-resolution Earth dataset, to train the FNO model, which was scaled up to 128 NVIDIA A100 GPUs on Perlmutter, the new HPC system at the National Energy Research Scientific Computing Center (NERSC). The team developed a global FNO weather forecasting model at 30-km resolution, an order of magnitude greater resolution than state-of-the-art deep learning Earth emulators. The model predicts wind velocities and pressures at multiple levels in the atmosphere up to 120 hours in advance with high fidelity. In a case study on the massive 2016 hurricane Matthew, the model’s predictions of the hurricane’s winds and track were within the uncertainties of the NOAA National Hurricane Center’s forecast cones. In addition, the model can predict the behavior of certain classes of extreme weather events across the globe days in advance in just 0.25 seconds on a single NVIDIA GPU.

The FNO model has been shown to predict the behavior of certain classes of extreme weather events days in advance in just 0.25 seconds on a single NVIDIA GPU.

Physics-informed deep learning models such as the FNO offer the potential for accurate predictions of the spatio-temporal evolution of the Earth system orders of magnitude faster than traditional numerical models. This is an ongoing effort, and the team is investigating the comparative accuracy of deep learning and traditional numerical weather models in collaboration with experts in atmospheric modeling and numerical weather prediction.

The FNO model developed through the Berkeley Lab/Caltech/NVIDIA collaboration is a significant step toward building a digital twin Earth, the researchers noted. Digital twin Earths are digital replicas of planet Earth — simulators grounded in physics, driven by AI, and constrained by real-time data. As described in the ambitious 10-year EU project Destination Earth, a digital twin Earth will give both expert and non-expert users tailored access to high-quality information, services, models, forecasts, and visualizations in the realms of climate monitoring, modeling, mitigation, and adaptation. This video shows a demonstration of digital twin Earth using the FNO model.

A depiction of digital twin Earth adapted from the EU’s Destination Earth project.

The FNO climate collaboration was one of several science success stories described by NVIDIA co-founder and CEO Jensen Huang during a keynote presentation at the recent GPU Technology Conference. In his talk, Huang emphasized that the combination of accelerated computing, physics, machine learning, and giant computer systems can provide “a million-x leap” to enable simulating and predicting climate change reliably and accurately.

This project was led by Karthik Kashinath, a NERSC alumnus and affiliate who is now a machine learning scientist-technologist at NVIDIA, and Jaideep Pathak, a postdoctoral fellow in the NERSC Exascale Science Applications Program. Sanjeev Raja, an undergraduate summer intern with the Data and Analytics Services group at NERSC, also contributed to this research.

“It’s great to see this important milestone in the development of sophisticated deep learning approaches toward transformative change in climate modeling,” said Wahid Bhimji, acting lead of NERSC’s Data, AI and Analytics Services group. “We are proud that NERSC’s AI early-science collaborations and the world-class AI compute infrastructure of Permutter can help drive this change.”

NERSC is a U.S. Department of Energy Office of Science user facility.

About NERSC and Berkeley Lab

The National Energy Research Scientific Computing Center (NERSC) is a U.S. Department of Energy Office of Science User Facility that serves as the primary high-performance computing center for scientific research sponsored by the Office of Science. Located at Lawrence Berkeley National Laboratory, the NERSC Center serves more than 7,000 scientists at national laboratories and universities researching a wide range of problems in combustion, climate modeling, fusion energy, materials science, physics, chemistry, computational biology, and other disciplines. Berkeley Lab is a DOE national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the U.S. Department of Energy. »Learn more about computing sciences at Berkeley Lab.


Source: NERSC

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!

Meta’s Massive New AI Supercomputer Will Be ‘World’s Fastest’

January 24, 2022

Fresh off its rebrand last October, Meta (née Facebook) is putting muscle behind its vision of a metaversal future with a massive new AI supercomputer called the AI Research SuperCluster (RSC). Meta says that RSC will b Read more…

Supercomputer Analysis Shows the Atmospheric Reach of the Tonga Eruption

January 21, 2022

On Saturday, an enormous eruption on the volcanic islands of Hunga Tonga and Hunga Haʻapai shook the Pacific Ocean. The explosion, which could be heard six thousand miles away in Alaska, caused tsunamis across the entir Read more…

NSB Issues US State of Science and Engineering 2022 Report

January 20, 2022

This week the National Science Board released its biannual U.S. State of Science and Engineering 2022 report, as required by the NSF Act. Broadly, the report presents a near-term view of S&E based mostly on 2019 data. To a large extent, this year’s edition echoes trends from the last few reports. The U.S. is still a world leader in R&D spending and S&E education... Read more…

Researchers Achieve 99 Percent Quantum Accuracy with Silicon-Embedded Qubits 

January 20, 2022

Researchers in Australia and the U.S. have made exciting headway in the quantum computing arms race. A multi-institutional team including the University of New South Wales and Sandia National Laboratory announced that th Read more…

Trio of Supercomputers Powers Estimate of Carbon in Earth’s Outer Core

January 20, 2022

Carbon is one of the essential building blocks of life on Earth, and it—along with hydrogen, nitrogen and oxygen—is one of the key elements researchers look for when they search for habitable planets and work to unde Read more…

AWS Solution Channel

shutterstock 718231072

Accelerating drug discovery with Amazon EC2 Spot Instances

This post was contributed by Cristian Măgherușan-Stanciu, Sr. Specialist Solution Architect, EC2 Spot, with contributions from Cristian Kniep, Sr. Developer Advocate for HPC and AWS Batch at AWS, Carlos Manzanedo Rueda, Principal Solutions Architect, EC2 Spot at AWS, Ludvig Nordstrom, Principal Solutions Architect at AWS, Vytautas Gapsys, project group leader at the Max Planck Institute for Biophysical Chemistry, and Carsten Kutzner, staff scientist at the Max Planck Institute for Biophysical Chemistry. Read more…

Multiverse Targets ‘Quantum Computing for the Masses’

January 19, 2022

The race to deliver quantum computing solutions that shield users from the underlying complexity of quantum computing is heating up quickly. One example is Multiverse Computing, a European company, which today launched the second financial services product in its Singularity product group. The new offering, Fair Price, “delivers a higher accuracy in fair price calculations for financial... Read more…

Meta’s Massive New AI Supercomputer Will Be ‘World’s Fastest’

January 24, 2022

Fresh off its rebrand last October, Meta (née Facebook) is putting muscle behind its vision of a metaversal future with a massive new AI supercomputer called t Read more…

Supercomputer Analysis Shows the Atmospheric Reach of the Tonga Eruption

January 21, 2022

On Saturday, an enormous eruption on the volcanic islands of Hunga Tonga and Hunga Haʻapai shook the Pacific Ocean. The explosion, which could be heard six tho Read more…

NSB Issues US State of Science and Engineering 2022 Report

January 20, 2022

This week the National Science Board released its biannual U.S. State of Science and Engineering 2022 report, as required by the NSF Act. Broadly, the report presents a near-term view of S&E based mostly on 2019 data. To a large extent, this year’s edition echoes trends from the last few reports. The U.S. is still a world leader in R&D spending and S&E education... Read more…

Multiverse Targets ‘Quantum Computing for the Masses’

January 19, 2022

The race to deliver quantum computing solutions that shield users from the underlying complexity of quantum computing is heating up quickly. One example is Multiverse Computing, a European company, which today launched the second financial services product in its Singularity product group. The new offering, Fair Price, “delivers a higher accuracy in fair price calculations for financial... Read more…

Students at SC21: Out in Front, Alongside and Behind the Scenes

January 19, 2022

The Supercomputing Conference (SC) is one of the biggest international conferences dedicated to high-performance computing, networking, storage and analysis. SC Read more…

Q-Ctrl – Tackling Quantum Hardware’s Noise Problems with Software

January 13, 2022

Implementing effective error mitigation and correction is a critical next step in advancing quantum computing. While a lot of attention has been given to effort Read more…

Nvidia Defends Arm Acquisition Deal: a ‘Once-in-a-Generation Opportunity’

January 13, 2022

GPU-maker Nvidia is continuing to try to keep its proposed acquisition of British chip IP vendor Arm Ltd. alive, despite continuing concerns from several governments around the world. In its latest action, Nvidia filed a 29-page response to the U.K. government to point out a list of potential benefits of the proposed $40 billion deal. Read more…

Nvidia Buys HPC Cluster Management Company Bright Computing

January 10, 2022

Graphics chip powerhouse Nvidia today announced that it has acquired HPC cluster management company Bright Computing for an undisclosed sum. Unlike Nvidia’s bid to purchase semiconductor IP company Arm, which has been stymied by regulatory challenges, the Bright deal is a straightforward acquisition that aims to expand... Read more…

IonQ Is First Quantum Startup to Go Public; Will It be First to Deliver Profits?

November 3, 2021

On October 1 of this year, IonQ became the first pure-play quantum computing start-up to go public. At this writing, the stock (NYSE: IONQ) was around $15 and its market capitalization was roughly $2.89 billion. Co-founder and chief scientist Chris Monroe says it was fun to have a few of the company’s roughly 100 employees travel to New York to ring the opening bell of the New York Stock... Read more…

US Closes in on Exascale: Frontier Installation Is Underway

September 29, 2021

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, held by Zoom this week (Sept. 29-30), it was revealed that the Frontier supercomputer is currently being installed at Oak Ridge National Laboratory in Oak Ridge, Tenn. The staff at the Oak Ridge Leadership... Read more…

AMD Launches Milan-X CPU with 3D V-Cache and Multichip Instinct MI200 GPU

November 8, 2021

At a virtual event this morning, AMD CEO Lisa Su unveiled the company’s latest and much-anticipated server products: the new Milan-X CPU, which leverages AMD’s new 3D V-Cache technology; and its new Instinct MI200 GPU, which provides up to 220 compute units across two Infinity Fabric-connected dies, delivering an astounding 47.9 peak double-precision teraflops. “We're in a high-performance computing megacycle, driven by the growing need to deploy additional compute performance... Read more…

Intel Reorgs HPC Group, Creates Two ‘Super Compute’ Groups

October 15, 2021

Following on changes made in June that moved Intel’s HPC unit out of the Data Platform Group and into the newly created Accelerated Computing Systems and Graphics (AXG) business unit, led by Raja Koduri, Intel is making further updates to the HPC group and announcing... Read more…

Nvidia Buys HPC Cluster Management Company Bright Computing

January 10, 2022

Graphics chip powerhouse Nvidia today announced that it has acquired HPC cluster management company Bright Computing for an undisclosed sum. Unlike Nvidia’s bid to purchase semiconductor IP company Arm, which has been stymied by regulatory challenges, the Bright deal is a straightforward acquisition that aims to expand... Read more…

D-Wave Embraces Gate-Based Quantum Computing; Charts Path Forward

October 21, 2021

Earlier this month D-Wave Systems, the quantum computing pioneer that has long championed quantum annealing-based quantum computing (and sometimes taken heat fo Read more…

Killer Instinct: AMD’s Multi-Chip MI200 GPU Readies for a Major Global Debut

October 21, 2021

AMD’s next-generation supercomputer GPU is on its way – and by all appearances, it’s about to make a name for itself. The AMD Radeon Instinct MI200 GPU (a successor to the MI100) will, over the next year, begin to power three massive systems on three continents: the United States’ exascale Frontier system; the European Union’s pre-exascale LUMI system; and Australia’s petascale Setonix system. Read more…

Three Chinese Exascale Systems Detailed at SC21: Two Operational and One Delayed

November 24, 2021

Details about two previously rumored Chinese exascale systems came to light during last week’s SC21 proceedings. Asked about these systems during the Top500 media briefing on Monday, Nov. 15, list author and co-founder Jack Dongarra indicated he was aware of some very impressive results, but withheld comment when asked directly if he had... Read more…

Leading Solution Providers

Contributors

Lessons from LLVM: An SC21 Fireside Chat with Chris Lattner

December 27, 2021

Today, the LLVM compiler infrastructure world is essentially inescapable in HPC. But back in the 2000 timeframe, LLVM (low level virtual machine) was just getting its start as a new way of thinking about how to overcome shortcomings in the Java Virtual Machine. At the time, Chris Lattner was a graduate student of... Read more…

2021 Gordon Bell Prize Goes to Exascale-Powered Quantum Supremacy Challenge

November 18, 2021

Today at the hybrid virtual/in-person SC21 conference, the organizers announced the winners of the 2021 ACM Gordon Bell Prize: a team of Chinese researchers leveraging the new exascale Sunway system to simulate quantum circuits. The Gordon Bell Prize, which comes with an award of $10,000 courtesy of HPC pioneer Gordon Bell, is awarded annually... Read more…

Nvidia Defends Arm Acquisition Deal: a ‘Once-in-a-Generation Opportunity’

January 13, 2022

GPU-maker Nvidia is continuing to try to keep its proposed acquisition of British chip IP vendor Arm Ltd. alive, despite continuing concerns from several governments around the world. In its latest action, Nvidia filed a 29-page response to the U.K. government to point out a list of potential benefits of the proposed $40 billion deal. 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…

Top500: No Exascale, Fugaku Still Reigns, Polaris Debuts at #12

November 15, 2021

No exascale for you* -- at least, not within the High-Performance Linpack (HPL) territory of the latest Top500 list, issued today from the 33rd annual Supercomputing Conference (SC21), held in-person in St. Louis, Mo., and virtually, from Nov. 14–19. "We were hoping to have the first exascale system on this list but that didn’t happen," said Top500 co-author... Read more…

TACC Unveils Lonestar6 Supercomputer

November 1, 2021

The Texas Advanced Computing Center (TACC) is unveiling its latest supercomputer: Lonestar6, a three peak petaflops Dell system aimed at supporting researchers 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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire