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UrduArgonne National Laboratory receives funding from the U.S. Department of Energy for two AI projects that aim to develop privacy-preserving and energy-efficient AI technologies, pushing the boundaries of scientific research and safeguarding sensitive data.
Tag: High Performance Computing
Molecular simulations, supercomputing lead to energy-saving biomaterials breakthrough
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
DOE, ORNL announce opportunity to define future of High-Performance Computing
The Department of Energy’s Office of Science today announced a new research and development opportunity led by Oak Ridge National Laboratory to advance technologies and drive new capabilities for future supercomputers.
$4.9-Million NSF Award Funds Major Enhancement to Bridges-2 System
$4.9 million from the NSF has funded an upgrade to PSC’s flagship Bridges-2 supercomputer. The grant has allowed the center to add late-model powerful NVIDIA H100 GPUs to the system, further enhancing its ability to support research in and requiring artificial intelligence, particularly in the context of massive data and high-performance computing.
Argonne’s AI Testbed gives researchers access to cutting-edge AI systems for science
The Argonne Leadership Computing Facility’s AI Testbed is a growing collection of some of the world’s most advanced AI accelerators available for open science.
Groundbreaking LLNL and BridgeBio Oncology Therapeutics collaboration announces start of human trials for supercomputing-discovered cancer drug
In a substantial milestone for supercomputing-aided drug design, Lawrence Livermore National Laboratory (LLNL) and BridgeBio Oncology Therapeutics (BridgeBio) today announced clinical trials have begun for a first-in-class medication that targets specific genetic mutations implicated in many types of cancer.
Aurora supercomputer heralds a new era of scientific innovation
Argonne’s Aurora supercomputer represents a leap forward in scientific research. Offering unprecedented speed and power, advanced hardware, and AI capabilities, Aurora ushers in a new era of supercomputing to revolutionize the way scientists conduct research and achieve breakthroughs.
LLNL debuts trio of systems on new Top500 list of world’s most powerful supercomputers, including El Capitan Early Delivery System
Three new systems currently or soon-to-be sited at Lawrence Livermore National Laboratory (LLNL) on Monday debuted on the latest Top500 list of most powerful supercomputers in the world, including the first portion of the exascale machine El Capitan.
Argonne and RIKEN sign a memorandum of understanding in support of AI for science
Argonne National Laboratory and RIKEN, leaders in high performance computing in the U.S. and Japan, have established a cooperative relationship in support of artificial intelligence computing projects.
Argonne training program alumni find success in extreme-scale computing
Past attendees of the annual Argonne Training Program on Extreme-Scale Computing are thriving in careers across the field of high performance computing.
San Diego Supercomputer Center Announces New Lead of Technology
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.
LLNL scientists among finalists for new Gordon Bell climate modeling award
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.
Not too big: Machine learning tames huge data sets
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.
Autonomous discovery defines the next era of science
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.
Chicago State University to serve as ‘scientific supersite’ to study climate change impact
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).
Trillion-Pixel Challenge looks ahead to next decade of GeoAI innovation
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.
Sieger selected to lead ORNL’s next supercomputer, OLCF-6
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.
Argonne training program introduces AI for science to a new crowd
The Intro to AI-Driven Science on Supercomputers training series gives students hands-on experience using the Lab’s high performance computing resources.
On the Road to Better Solid-State Batteries
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 Named Director of the Pittsburgh Supercomputing Center
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.
National Energy Technology Laboratory and Pittsburgh Supercomputing Center Pioneer First Ever Computational Fluid Dynamics Simulation on Cerebras Wafer-Scale Engine
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.
Argonne’s Sibendu Som named American Society of Mechanical Engineers Fellow
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.
Q&A with Madhurima Vardhan, Argonne’s Margaret Butler Fellow
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.
A year in review: Argonne’s breakthroughs in 2022
Argonne researchers put their stamp on 2022 with accomplishments as varied as quantum science, wearable medical sensors, and climate change resilience and recovery.
Aurora and the upgraded Advanced Photon Source to power discovery at Argonne
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 lays the groundwork for its next-generation supercomputer
Argonne expands and upgrades ALCF data center to prepare for Aurora and future high performance computing systems.
4 science advances coming in the exascale era
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.
5 big strides from Argonne towards nuclear energy’s future
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.
Helping companies improve energy efficiency through high performance computing
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.
Argonne researchers win four 2022 R&D 100 awards
R&D Magazine has recognized four Argonne projects with R&D 100 Awards.
Los Alamos National Laboratory and SK hynix to demonstrate first-of-a-kind ordered Key-value Store Computational Storage Device
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).
LLNL and Amazon Web Services to cooperate on standardized software stack for HPC
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.
PSC and Partners to Lead $7.5-Million Project to Allocate Access on NSF Supercomputers
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.
U.S. Department of Energy to Showcase National Lab Expertise at SC21
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.
Preparing for exascale: Argonne’s Aurora supercomputer to drive brain map construction
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. 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.