Past attendees of the annual Argonne Training Program on Extreme-Scale Computing are thriving in careers across the field of high performance computing.
New CTO will play a key role in the development of SDSC’s high-performance computing and data technology vision and roadmap to drive technology innovation and its application to a wide range of research challenges.
A team from Lawrence Livermore and seven other Department of Energy (DOE) national laboratories is a finalist for the new Association for Computing Machinery (ACM) Gordon Bell Prize for Climate Modeling for running an unprecedented high-resolution global atmosphere model on the world’s first exascale supercomputer.
A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory’s Summit, the world’s fifth-fastest supercomputer.
Equally efficient on laptops and supercomputers, the highly scalable algorithm solves hardware bottlenecks that prevent processing information from data-rich applications in cancer research, satellite imagery, social media networks, national security science and earthquake research, to name just a few.
Argonne National Laboratory is reimagining the lab spaces and scientific careers of the future by harnessing the power of robotics, artificial intelligence and machine learning in the quest for new knowledge.
Argonne and Chicago State University deployed instruments at the Chicago State University Campus to measure Chicago’s changing climate. These sensors are among the first for the Argonne-led Urban Integrated Field Laboratory called Community Research on Climate and Urban Science (CROCUS).
Experts across varied technology fields gathered at the Department of Energy’s Oak Ridge National Laboratory to collaborate on the future of geospatial systems at the Trillion-Pixel GeoAI Challenge workshop. The third iteration of this event focused on multimodal advances in the field, including progress in artificial intelligence, cloud infrastructure, high-performance computing and remote sensing.
The Oak Ridge Leadership Computing Facility’s Matt Sieger has been named the project director for the OLCF-6 effort. This next OLCF undertaking will plan and build a world-class successor to the OLCF’s still-new exascale system, Frontier.
The Intro to AI-Driven Science on Supercomputers training series gives students hands-on experience using the Lab’s high performance computing resources.
A team from Berkeley Lab and Florida State University has designed a new blueprint for solid-state batteries that are less dependent on specific chemical elements. Their work could advance efficient, affordable solid-state batteries for electric cars.
James Barr von Oehsen has been selected as the director of the Pittsburgh Supercomputing Center (PSC), a joint research center of Carnegie Mellon University and the University of Pittsburgh. Von Oehsen is a leader in the fields of cyberinfrastructure, research computing, advanced networking, data science and information technology.
Cerebras Systems, the pioneer in high performance artificial intelligence (AI) compute, today announced, for the first time ever, the simulation of a high-resolution natural convection workload at near real-time rates.
Sibendu Som, whose work focuses on high-fidelity simulations of power generation and propulsion systems, has been designated a fellow by the American Society of Mechanical Engineers.
As the latest recipient of the Argonne Leadership Computing Facility’s Margaret Butler Fellowship, Madhurima Vardhan will use Argonne’s supercomputing and AI to advance biomedical research.
Argonne researchers put their stamp on 2022 with accomplishments as varied as quantum science, wearable medical sensors, and climate change resilience and recovery.
Argonne is creating a supermerger between its new Aurora supercomputer and upgraded Advanced Photon Source. The combined data collection and computing power will enable ultrafast data analysis, advance discovery time and unlock new science.
Argonne expands and upgrades ALCF data center to prepare for Aurora and future high performance computing systems.
To celebrate Exascale Day, Argonne highlights some of the projects poised to make scientific breakthroughs on the upcoming Aurora exascale computer. Their research explores the spread of cancer, fusion energy, brain mapping, particle physics and more.
Nuclear energy is an exciting carbon-free energy source. Recent work at Argonne National Laboratory shows how nuclear energy can improve and why it is such an enticing resource in the fight against climate change.
The U.S. Department of Energy (DOE) has awarded DOE’s Argonne National Laboratory with $600,000 in federal funding to work on two new projects that will advance cutting edge manufacturing and clean energy technologies.
R&D Magazine has recognized four Argonne projects with R&D 100 Awards.
At the upcoming Flash Memory Summit in California, Los Alamos National Laboratory and SK hynix, a leading semiconductor innovator and memory/flash manufacturer, will demonstrate the world’s first ordered Key Value Store Computational Storage Device (KV-CSD).
Lawrence Livermore National Laboratory and Amazon Web Services have signed a memorandum of understanding (MOU) to define the role of leadership-class high performance computing (HPC) in a future where cloud HPC is ubiquitous.
The NSF has awarded $7.5 million over five years to the RAMPS project, a next-generation system for awarding computing time in the NSF’s network of supercomputers. RAMPS is led by the Pittsburgh Supercomputing Center and involves partner institutions in Colorado and Illinois.
The scientific computing and networking leadership of the U.S. Department of Energy’s (DOE’s) national laboratories will be on display at SC21, the International Conference for High-Performance Computing, Networking, Storage and Analysis. The conference takes place Nov. 14-19 in St. Louis via a combination of on-site and online resources.
Argonne 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.
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.
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.
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.
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.
Researchers will be able to design their own computer accelerators for faster analysis of large datasets
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.
Six Argonne scientists receive Department of Energy’s Early Career Research Program Awards.
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, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate.
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.
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.
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.
Collaborators use experiments, high-fidelity simulations and machine learning to deliver predictive tools to engine manufacturers.
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.
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.
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.
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.
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.
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.
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.
ATPESC provides in-depth training on using supercomputers, including next-generation exascale systems, to facilitate breakthrough science and engineering.
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.
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.
HPCwire magazine recognizes two Argonne teams for outstanding achievement in their use of high performance computing.