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UrduArgonne researchers are mapping the complex tangle of the brain’s connections — a connectome — by developing applications that will find their stride in the advent of exascale computing.
Tag: High Performance Computing
Argonne and Parallel Works Inc. win FLC recognition for commercializing lab’s machine learning-based design optimization software technology
Argonne and Parallel Works, Inc., won the Federal Laboratory Consortium’s Midwest Regional Award for Excellence in Technology Transfer for bringing Argonne’s Machine Learning-Genetic Algorithm (ML-GA) design optimization software to commercialization.
U.S. Department of Energy’s Argonne National Laboratory and Hewlett Packard Enterprise prepare for exascale era with new testbed supercomputer
Argonne and HPE unveiled a new testbed supercomputer that will enable scientists and developers to test and optimize software codes and applications for the forthcoming exascale supercomputer, Aurora.
San Diego Supercomputer Center Plays a Role in NSF’s New ICICLE Institute
The AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment, or ICICLE, will focus on next-generation intelligent cyberinfrastructure that makes using AI as easy as plugging an appliance into an electrical outlet.
Now in 3D: Deep learning techniques help visualize X-ray data in three dimensions
A team of Argonne scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
Accelerating the Speed of Science
Researchers will be able to design their own computer accelerators for faster analysis of large datasets
DOE scientists deploy creativity, speed to disrupt COVID-19
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
DOE names six Argonne scientists to receive Early Career Research Program awards
Six Argonne scientists receive Department of Energy’s Early Career Research Program Awards.
Argonne’s Margaret Butler Fellowship offers opportunity to work on exascale computing applications
Now open for applications, Argonne’s Margaret Butler Fellowship in Computational Science offers an opportunity for one postdoc to work at the forefront of scientific computing at the Argonne Leadership Computing Facility.
Deborah Frincke: The science of protecting communities
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate.
Caterpillar-Argonne partnership shifts heavy-duty engine design into higher gear
Using Argonne’s high-performance computing resources, researchers developed a new design for Caterpillar’s engines that could improve fuel efficiency while reducing harmful emissions.
LLNL, IBM and Red Hat to explore standardized High Performance Computing Resource Management interface
Lawrence Livermore National Laboratory (LLNL), IBM and Red Hat are combining forces to develop best practices for interfacing high-performance computing (HPC) schedulers and cloud orchestrators, an effort designed to prepare for emerging supercomputers that exploit cloud technologies.
Energy on Demand: Learning from Nature’s Catalysts
With quantum chemistry, PNNL scientists are discovering how enzymes such as nitrogenase serve as natural catalysts that efficiently break apart molecular bonds to control energy and matter.
New Argonne partnership to predict fuel injector dynamics
Collaborators use experiments, high-fidelity simulations and machine learning to deliver predictive tools to engine manufacturers.
Coalition’s new leadership renews focus on advocating for academic scientific computation
Computers play an integral role in nearly every discipline of research today, giving scientists the ability to discover new drugs, develop new materials, forecast the impacts of climate change, and solve some of today’s most challenging problems.
Preparing for exascale: Aurora supercomputer to help scientists visualize the spread of cancer
In advance of Argonne’s Aurora exascale supercomputer, Duke University assistant professor Amanda Randles is leading a new study to analyze cancer metastasis using HARVEY, a code that simulates blood vessels within the human body.
Coalition’s new leadership renews focus on advocating for academic scientific computation
The Coalition for Academic Scientific Computation, or CASC — a network of more than 90 research computing-focused organizations from academic institutions, national labs, and research centers around the U.S. — hopes to continue to bring this critical computing work to the forefront through its activities. Newly elected leadership and recent changes within CASC are helping the nonprofit organization excel in this mission.
Virtual Argonne workshop provides guidance on using AI and supercomputing tools for science
The Argonne Leadership Computing Facility continues its efforts to build a community of scientists who can employ AI and data-intensive analysis at a scale that requires DOE supercomputers.
Argonne innovations and technology to help drive circular economy
In a collaborative effort to “recover, recycle and reuse,” Argonne strengthens research that addresses pollution, greenhouse gases and climate change and aligns with new policies for carbon emission reduction.
How SARS-CoV-2’s Sugar-Coated Shield Helps Activate the Virus
ROCKVILLE, MD – One thing that makes SARS-CoV-2, the virus that causes COVID-19, elusive to the immune system is that it is covered in sugars called glycans.
The AI-driven initiative that’s hastening the discovery of drugs to treat COVID-19
Ten organizations have created a pipeline of artificial intelligence and simulation tools to narrow the search for drug candidates that can inhibit SARS-CoV-2.
Argonne Training Program on Extreme-Scale Computing seeks applications for 2021
ATPESC provides in-depth training on using supercomputers, including next-generation exascale systems, to facilitate breakthrough science and engineering.
Mira’s Last Journey: exploring the dark universe
Scientists used a supercomputer to perform one of the five largest cosmological simulations ever — the Last Journey. This simulation will provide crucial data for sky maps to aid leading cosmological experiments.
Advanced tools reveal critical infrastructure connections and help mitigate disasters
A cross-platform Argonne collaboration is optimizing a tool developed after Hurricane Maria to find essential connections between critical infrastructure that will help owners and operators plan for and mitigate a variety of potential hazards.
Argonne earns HPCwire awards for the best use of high performance computing in energy and industry
HPCwire magazine recognizes two Argonne teams for outstanding achievement in their use of high performance computing.
Kalyan R. Perumalla: Then and Now / 2010 Early Career Award Winner
Kalyan R S Perumalla is a Distinguished Research and Development Staff Member at Oak Ridge National Laboratory, whose work on reversible computing for exascale computers also provides insights applicable to next generation programming.
‘Expanse’ Supercomputer Formally Enters Production
The San Diego Supercomputer Center (SDSC) at UC San Diego announced that its new Expanse supercomputer formally entered service for researchers following a program review by the National Science Foundation (NSF), which awarded SDSC a grant in mid-2019 to build the innovative system.
The Impact of Pruning
PNNL researchers have shown an improved binarized neural network can deliver a low-cost and low-energy computation to help the performance of smart devices and the power grid.
Scientist who developed quantum computing code wins ORNL’s top science award
ORNL’s Paul Kent, Dr. Bart Iddins and two teams were recognized for leadership and accomplishment in science, technology and mission support.
INCITE program awards supercomputing time to 51 computational research projects
The new projects will use DOE’s leadership-class supercomputers to pursue transformational advances in science and engineering.
Virtual reality: ALCF’s remote interns tackle real-world computing projects
The Argonne Leadership Computing Facility’s internship program went virtual this year, providing students with an opportunity to work on real-world research projects that address issues at the forefront of scientific computing.
November 9, 2020 Web Feature PNNL Researchers Speed Power Grid Simulations Using AI
PNNL’s new Smart Power Grid Simulator, or Smart-PGsim, combines high-performance computing and artificial intelligence to optimize power grid simulations without sacrificing accuracy.
Uncovering Novel Genomes from Earth’s Microbiomes
Reported in Nature Biotechnology, the known diversity of bacteria and archaea has been expanded by 44% through a publicly available collection of more than 52,000 microbial genomes from environmental samples resulting from a JGI-led collaboration involving more than 200 scientists around the world.
Argonne researchers to share scientific computing advances at SC20 conference
Argonne scientists will attend the virtual SC20 conference to share research advances in areas ranging from exascale computing and big data analysis to AI and quantum computing.
Safeguarding the Nation’s Supercomputers
PNNL researchers and university collaborators have developed a system to ferret out questionable use of high-performance computing (HPC) systems.
The high-tech evolution of scientific computing: A slight return
To leverage emerging computing capabilities and prepare for future exascale systems, the Argonne Leadership Computing Facility, a DOE Office of Science User Facility, is expanding its scope beyond traditional simulation-based research to include data science and machine learning approaches.
Preparing for science in the exascale era
As the future home to the Aurora exascale system, Argonne National Laboratory has been ramping up efforts to ready the supercomputer and its future users for science in the exascale era.
Virtual Argonne training program prepares researchers for extreme-scale computing
The annual Argonne Training Program on Extreme-Scale Computing went virtual this year, providing two weeks of instruction to ready attendees for science in the exascale era.
MSU, USDA Agricultural Research Service celebrate new partnership, “Atlas” supercomputer housed in Starkville
Building on decades of successful collaborations, Mississippi State University and the U.S. Department of Agriculture’s Agricultural Research Service celebrated the new “Atlas” supercomputer Wednesday [Sept. 30] with a virtual event.
New HPC4EI Project Aims to Cut Energy Costs of Painting Cars
For years the coating industry has been working on energy and environmentally friendly improvements to the automotive painting process. Toward this end, researchers in Lawrence Berkeley National Laboratory’s Computational Research Division are partnering with one of the world’s largest paint manufacturers through a new project that aims to couple advanced mathematics with HPC resources to model the paint drying process and guide the development of new energy-efficient coating systems for the auto industry.
Virtual ALCF workshop helps participants boost supercomputer performance
The Argonne Leadership Computing Facility recently hosted a virtual workshop to help researchers prepare code for the extreme scale and unique architectures that characterize leadership-class supercomputers.
Virtual symposium experts offer insights on big data issues, opportunities
Registration is now open for Penn State’s Institute of Computational and Data Sciences’ (ICDS) 2020 Symposium. The two-day symposium will be held virtually Oct. 21-22 and will feature an interdisciplinary group of speakers and experts who will focus on both the challenges — and opportunities — of big data and data science.
Scientists use reinforcement learning to train quantum algorithm
Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.
Filling in the blanks: How supercomputing can aid high-resolution X-ray imaging
Scientists are preparing for the increased brightness and resolution of next-generation light sources with a computing technique that reduces the need for human calculations to reconstruct images.
Calculating the Benefits of Exascale and Quantum Computers
The Department of Energy is supporting the development of both conventional exascale supercomputers and quantum computers. Each provide benefits that could transform scientific research.
LLNL pairs world’s largest computer chip from Cerebras with “Lassen” supercomputer to accelerate AI research
Lawrence Livermore National Laboratory (LLNL) and artificial intelligence computer company Cerebras Systems have integrated the world’s largest computer chip into the National Nuclear Security Administration’s (NNSA’s) Lassen system, upgrading the top-tier supercomputer with cutting-edge AI technology.
Department of Energy Names Three Office of Science Distinguished Scientists Fellows
The U.S. Department of Energy (DOE) named three National Laboratory scientists as DOE Office of Science Distinguished Scientists Fellows
Six Argonne researchers receive DOE Early Career Research Program awards
Argonne scientists Michael Bishof, Maria Chan, Marco Govini, Alessandro Lovato, Bogdan Nicolae and Stefan Wild have received funding for their research as part of DOE’s Early Career Research Program.
Preparing for exascale: LLNL breaks ground on computing facility upgrades
To meet the needs of tomorrow’s supercomputers, the National Nuclear Security Administration’s (NNSA’s) Lawrence Livermore National Laboratory (LLNL) has broken ground on its Exascale Computing Facility Modernization (ECFM) project, which will substantially upgrade the mechanical and electrical capabilities of the Livermore Computing Center.
Argonne’s new menu of data storage software helps scientists realize findings earlier
A research team, led by Argonne, is developing a new data navigation system called Mochi that will provide scientists with a menu of data services they can rapidly combine and customize to suit the particular needs of a specific science domain.