5 finalists for the esteemed high-performance computing award have achieved breakthroughs in local weather modeling, fluid simulation and extra with the Alps, JUPITER and Perlmutter supercomputers — with two winners taking dwelling the prize.
Editor’s be aware: This weblog, initially printed on Tuesday, Nov. 18, has been up to date to replicate that winners for the Gordon Bell Prize had been introduced.
5 finalists for the Gordon Bell Prize for excellent achievements in high-performance computing (HPC) are utilizing NVIDIA-powered supercomputers for his or her important work in local weather modeling, supplies science, fluid simulation, geophysics and digital design.
Introduced immediately at SC25, two of the finalist groups took dwelling awards:
- The College of Texas at Austin, Lawrence Livermore Nationwide Laboratory and the College of California San Diego gained the Gordon Bell Prize for creating the world’s first digital twin that may concern real-time probabilistic tsunami forecasts primarily based on a full-physics mannequin.
- Builders of a novel configuration for the ICON Earth system mannequin — hailing from the Max Planck Institute for Meteorology, German Local weather Computing Centre (DKRZ), Swiss Nationwide Supercomputing Centre (CSCS), Jülich Supercomputing Centre (JSC), ETH Zurich, the College of Hamburg and NVIDIA — gained the Gordon Bell Prize for Local weather Modelling.
Members of the ICON analysis staff settle for the Gordon Bell Prize for Local weather Modelling at SC25.
The finalists’ initiatives are driving AI and HPC for science utilizing physics simulation, high-precision math and different superior supercomputing methods, accelerating breakthroughs throughout climate forecasting, semiconductor design, house exploration and different fields. Their outcomes are open and accessible on ArXiv.
The supercomputers powering their work embrace:
- Alps — hosted at CSCS and powered by greater than 10,000 NVIDIA GH200 Grace Hopper Superchips.
- Perlmutter — hosted on the Nationwide Vitality Analysis Scientific Computing Heart (NERSC) and powered by NVIDIA accelerated computing.
- JUPITER — Europe’s first exascale supercomputer, hosted at JSC and powered by the NVIDIA Grace Hopper platform and Quantum-X800 InfiniBand networking.
A rendering of JUPITER supercomputer racks that includes the NVIDIA Grace Hopper platform. Video courtesy of Forschungszentrum Jülich / Sascha Kreklau.
“At CSCS, we don’t simply assist open science — we speed up it,” stated Thomas Schulthess, director of CSCS. “The extraordinary breakthroughs by this 12 months’s 5 Gordon Bell finalists in local weather modeling, supplies science, fluid dynamics and digital twins stand as irrefutable proof: with out the Alps supercomputer, these scientific discoveries merely wouldn’t exist. Pushing computational boundaries turns daring targets into actuality, delivering scientific revolutions that may redefine our world.”
Be taught extra concerning the 5 finalists’ initiatives under.
ICON: Modeling Earth at Kilometer-Scale
A novel configuration for the ICON Earth system mannequin — developed by researchers on the Max Planck Institute for Meteorology, DKRZ, CSCS, JSC, ETH Zurich, College of Hamburg and NVIDIA — is poised to allow extra correct climate forecasts and a deeper understanding of how the planet works.
By modeling your entire Earth’s methods at kilometer-scale decision, ICON can seize the movement of power, water and carbon by the ambiance, oceans and land with distinctive element and unprecedented temporal compression — permitting about 146 days to be simulated each 24 hours — which allows extra environment friendly local weather simulations projecting as much as a long time ahead.
Operating on JUPITER, ICON achieved a world document in world local weather simulation.
A simulation of carbon dioxide flux utilizing the ICON mannequin.
“Integrating all important parts of the Earth system within the ICON mannequin at an unprecedented decision of 1 kilometer permits researchers to see full world Earth system data on native scales and be taught extra concerning the implications of future warming for each folks and ecosystems,” stated Daniel Klocke, computational infrastructure and mannequin growth group chief at Max Planck Institute for Meteorology.
ORBIT-2: Exascale Imaginative and prescient Basis Fashions for Climate and Local weather Modeling
Developed as a part of a collaboration between Oak Ridge Nationwide Laboratory, NVIDIA and others — and operating on the Alps supercomputer — ORBIT-2 is an AI basis mannequin for climate and local weather downscaling that demonstrates unparalleled scalability and precision.
Tapping into exascale computing and algorithmic innovation, ORBIT-2 overcomes challenges confronted by conventional local weather fashions with spatial hyper-resolution downscaling, a way that creates high-resolution knowledge from lower-resolution sources. This allows groups to seize and predict way more localized phenomena like city warmth islands, excessive precipitation occasions and refined shifts in monsoon patterns.
“NVIDIA’s superior supercomputing applied sciences enabled ORBIT-2 to realize distinctive scalability, reliability and influence on the intersection of AI and high-performance computing on NVIDIA platforms,” stated Prasanna Balaprakash, director of AI packages and part head for knowledge and AI methods at Oak Ridge Nationwide Laboratory.
QuaTrEx: Advancing Transistor Design Via Nanoscale Gadget Modeling
A staff from ETH Zurich has superior nanoscale digital machine modeling with QuaTrEx, a package deal of algorithms that may increase the design of next-generation transistors.
Operating on the Alps supercomputer with NVIDIA GH200 Superchips, QuaTrEx can simulate gadgets with greater than 45,000 atoms with FP64 efficiency and excessive parallel-computing effectivity. This allows sooner, extra correct design of transistors, known as NREFTs, that can be essential for the semiconductor business.
A simulation of the movement of electrons in a nanoribbon transistor. Video courtesy of ETH Zurich.
“Entry to Alps was instrumental within the growth of QuaTrEx,” stated Mathieu Luisier, full professor of computational nanoelectronics at ETH Zurich. “It allowed us to simulate gadgets that we couldn’t think about dealing with just some months in the past.”
Simulating Spacecraft at Document-Breaking Scales With the MFC Circulate Solver
Designing spacecrafts, particularly these with many small engines, requires detailed simulation, as engines packed carefully collectively may cause their exhaust to work together and warmth up a rocket’s base.
Operating on the Alps supercomputer, MFC, an open-source solver developed by the Georgia Institute of Know-how in collaboration with NVIDIA and others, allows fluid movement simulation 4x sooner and with over 5x better power effectivity whereas sustaining the identical accuracy because the earlier world document. Primarily based on full-scale runs on Alps, MFC is anticipated to run at 10x the dimensions of the earlier world document on JUPITER. This paves the way in which for sooner, extra correct design of important parts for house exploration.
A rocket engine simulation utilizing computational fluid dynamics. Video courtesy of the Georgia Institute of Know-how.
“Our new data geometric regularization technique, mixed with the NVIDIA GH200 Superchip’s unified digital reminiscence and mixed-precision capabilities, has drastically improved the effectivity of simulating complicated computational fluid flows, enabling us to simulate rocket engine plumes at unprecedented scales,” stated Spencer Bryngelson, assistant professor in computational science and engineering on the Georgia Institute of Know-how.
A Digital Twin for Tsunami Early Warning
The College of Texas at Austin, Lawrence Livermore Nationwide Laboratory and the College of California San Diego have created the world’s first digital twin that may concern real-time probabilistic tsunami forecasts primarily based on a full-physics mannequin.
Utilized to the Cascadia subduction zone within the Pacific Northwest, the digital twin achieved complicated computations that might usually take 50 years on 512 GPUs in simply 0.2 seconds on the Alps and Perlmutter supercomputers, representing a ten billion-fold speedup.
“For the primary time, real-time sensor knowledge could be quickly mixed with full-physics modeling and uncertainty quantification to offer folks an opportunity to behave earlier than catastrophe strikes,” stated Omar Ghattas, professor of mechanical engineering at UT Austin. “This framework gives a foundation for predictive, physics-based emergency-response methods throughout numerous hazards.”
For the tsunami digital twin, ICON and MFC initiatives, NVIDIA CUDA-X libraries performed a key function in maximizing the efficiency and effectivity of the complicated simulations. ICON additionally faucets into NVIDIA CUDA Graphs, which permit work to be outlined as graphs moderately than single operations.
Be taught extra concerning the newest supercomputing developments by becoming a member of NVIDIA at SC25, operating by Thursday, Nov. 20.
