Science MachinesAug 1, 2024
Modeling maximum lift to improve aircraft involves understanding the complexities of eddies and airflow. ZJ Wang of the University of Kansas has used an #INCITE allocation at Oak Ridge Leadership Computing Facility to tackle these challenging problems. https://ascr-discovery.org/2024/08/a-heavy-lift/ #HPC #DOEscience
A heavy lift - ASCR Discovery

Growing up in the remote countryside of China’s Hunan province, Z.J. Wang didn’t see trains or automobiles often, but about once a week he saw military planes flying overhead. “I was totally fascinated by that,” Wang says. “I heard stories … Continue reading →

ASCR Discovery
Science MachinesJul 10, 2024
Season 5 is live 🎙️! Hear from Lois Curfman McInnes of Argonne National Laboratory about important and interconnecting challenges in #HPC: broadening participation and #software sustainability. https://scienceinparallel.org/2024/07/lois-curfman-mcinnes/ #DOEscience #exascaleproject #podcast
Lois Curfman McInnes: Building Software Sustainability and Workforce Diversity - Science in Parallel

High-performance computing currently faces dual challenges: important technical problems that require a skilled workforce and the need to recruit more computational researchers, especially those from underrepresented communities. This conversation with Lois Curfman McInnes of Argonne National Laboratory examines both the complexity in building scientific software and the work needed to build the HPC workforce of the future.

Science in Parallel
Science MachinesApr 25, 2024
Today's #HPC systems are one-size-fits-all, but computer scientist Bahar Asgari of the University of Maryland envisions more flexible, dynamic systems that can crunch sparse datasets as efficiently as dense ones. Read more about her research supported by a DOE Early Career Research Program award: https://ascr-discovery.org/2024/04/holistic-computing/
#doescience
Holistic computing - ASCR Discovery

Bahar Asgari thinks that high-performance supercomputers (HPCs) could run far more efficiently and consume less energy. That’s particularly possible when crunching sparse datasets — ones with many zeros or empty values — that are often encountered in scientific computing. Her … Continue reading →

ASCR Discovery
Science MachinesMar 20, 2024
#Exascale computing is allowing James Stone of the Institute for Advanced Study to model how radiation affects accretion-- the energy release as gravity powerfully pulls matter inward-- at the center of black holes. https://ascr-discovery.org/2024/03/aiming-exascale-at-black-holes/ #Polaris #Frontier #ALCF #OLCF #doescience #HPC
Aiming exascale at black holes - ASCR Discovery

In 1783, John Michell worked as a rector in northern England, but his scientific work proposed that the mass of a star could reach a point where its gravity prevented the escape of most anything, even light. The same prediction … Continue reading →

ASCR Discovery
Science MachinesOct 18, 2023
Taking a page from commercial streaming,
Jefferson Lab researchers are filtering, calibrating and analyzing nuclear physics data from accelerator experiments in real time, saving the lab time and money. https://ascr-discovery.org/2023/10/now-streaming-nuclear-physics/ #CEBAF #HPC
#DOEscience
Now streaming: nuclear physics - ASCR Discovery

Accelerator facilities that allow nuclear physicists to probe the inner workings of atoms and their nuclei require a costly high-wire act of data acquisition and storage. Take, for example, the Continuous Electron Beam Accelerator Facility (CEBAF) at the Department of Energy’s Thomas Jefferson National Accelerator Facility, or JLab, in Newport News, Virginia. At CEBAF, electrons

ASCR Discovery - Understanding Science through Computing
Science MachinesJun 22, 2023

New on the Science in Parallel #podcast🎙️
Luis Ceze of the University of Washington and OctoML, Bert de Jong of Berkeley Lab, and Katie Schuman of the University of Tennessee discuss strengths and challenges of emerging processors, such as #molecular, #quantum and #neuromorphic hardware. https://scienceinparallel.libsyn.com/season-3-episode-4-beyond-exascale-exploring-emerging-hardware

#QSAcenter #DOEscience #HPC

Science in Parallel: Season 3, Episode 5 -- Beyond Exascale: Exploring Emerging Hardware

The exascale era in computing has arrived, and that brings up the question of what’s next. We’ll discuss some emerging processor technologies-- molecular storage and computing, quantum computing and neuromorphic chips—with an expert from each of those fields. Learn more about these technologies’ strengths and challenges and how they might be incorporated into tomorrow’s systems.  You’ll meet: , professor of and CEO of the AI startup . , senior scientist and department head for computational sciences at and deputy director of the .  , is a neuromorphic computing researcher and an assistant professor of computer science at the .

Science MachinesFeb 7, 2023
New #HPC models are refining models of floods and droughts. The forecasts suggest that the Midwest will experience a double whammy known as flash droughts-- dry times punctuated by periods of short, intense rainfall. https://ascr-discovery.org/2023/02/high-and-dry/ #climatechange #Midwest #DOEscience #ASCR
High and dry - ASCR Discovery

Midwesterners needn’t bother choosing their poison: droughts or floods. They get a double dose of both. The region is experiencing what weather experts call a flash drought, says Rao Kotamarthi, who heads climate and earth system science at the Department of Energy’s Argonne National Laboratory near Chicago. “One of the clearest indicators of climate change

ASCR Discovery - Understanding Science through Computing
Science MachinesDec 7, 2022
Computer scientists at Lawrence Livermore National Laboratory have developed #CogSim, an #ML approach that uses deep neural networks to map input to output. Their goal: accelerate the simulation-experiment-analysis loop in applications from nuclear fusion experiments to COVID-19 research: https://deixismagazine.org/2022/12/simulation-looped-in/ #HPC #Livermore #AI #DOEscience #COVID19 #ICF
Simulation looped in - Deixis Online

CogSim, a machine-learning approach modeled on the brain, coordinates simulations, experiments and data-analysis to yield results in fields from fusion energy to COVID-19.

Deixis Online