Building upon decades of research on how to make boron carbide even more efficient, an engineering team at the University of Florida (UF) has been conducting simulations using SDSC's Comet supercomputer to better understand the nanoscale level deformation mechanisms of this important material.
An extensive collaboration led by Argonne recently won the Inaugural SCinet Technology Challenge at the Supercomputing 19 conference by demonstrating real-time analysis of light source data from Argonne’s APS to the ALCF.
Fusion power researchers at TAE Technologies employ Argonne supercomputers to develop magnetic fusion plasma confinement devices as a means to generate unlimited electricity.
The San Diego Supercomputer Center (SDSC), an Organized Research Unit of UC San Diego; and the Wisconsin IceCube Particle Astrophysics Center (WIPAC) at the University of Wisconsin–Madison successfully completed a computational experiment as part of a multi-institution collaboration that marshalled all globally available for sale GPUs (graphics processing units) across Amazon Web Services, Microsoft Azure, and the Google Cloud Platform.
Argonne National Laboratory and Altair, a global technology company, have created a new scheduling system that will be employed on the Aurora supercomputer.
Globus, a leading research data management service, today announced the general availability of Globus for Google Cloud, a new solution for accessing and managing data stored in Google Cloud object storage.
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 47 science projects for 2020—awarding 60 percent of the available time on some of the nation’s most powerful supercomputers, with the ultimate goal of accelerating discovery and innovation. In 2020, 14 projects will run on Theta and 39 projects on Summit, where six of these projects will receive an allocation on both systems.
Several Argonne researchers will attend the Supercomputing 2019 (SC19) conference to share scientific computing advances and insights with an eye toward the upcoming exascale era.
A team at Georgia Tech created a new turbulence algorithm optimized for the Summit supercomputer. It reached a performance of less than 15 seconds of wall-clock time per time step for more than 6 trillion grid points—a new world record surpassing the prior state of the art in the field for the size of the problem.
A UTokyo team transformed its UNICORN code into an AI-like algorithm to more quickly simulate a tectonic plate deformation that leads to earthquakes. The team ran UNICORN at 416 petaflops and gained a 75-fold speedup from a previous state-of-the-art solver using the Summit supercomputer.
An ORNL team used the Titan supercomputer to model every building serviced by the Electric Power Board of Chattanooga—all 178,368 of them—and discovered that EPB could potentially save $11–$35 million per year by adjusting electricity usage during peak critical times.
Argonne researchers turn to supercomputers and artificial intelligence to try and prevent cyberattacks before they arise.
The RCSB Protein Data Bank headquartered at Rutgers University–New Brunswick has been awarded $34.5 million in grants over five years from three U.S. government agencies. The funding – an approximately 5 percent increase over the previous five-year period – covers ongoing operations and will expand the reach of the world’s only open-access, digital data resource for the 3D biomolecular structures of life.
San Diego-based Predictive Science, Inc. this week released their first forecast for the 2019-2020 influenza season, which typically runs from November through March.
Computational scientists, biophysicists and statisticians from Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL) are leading a massive multi-institutional collaboration that has developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in many forms of cancers.
Tech industry leader Intel announced today that it will partner with UNLV and Caesars Entertainment on Black Fire Innovation, a research and technology hub opening soon at UNLV's Harry Reid Research & Tech Park where hospitality concepts will be created and tested in a 43,000-square-foot replica integrated resort. Intel will provide technology and computing resources, and the company will offer research and internship opportunities for students and partners at the Black Fire Innovation facility.
A team simulated a 10,000-atom 2D transistor slice on the Summit supercomputer and mapped where heat is produced in a single transistor. Using a new data-centric version of the OMEN nanodevice simulator, the team sustained the code at 85.45 petaflops and earned a Gordon Bell Prize finalist nomination.
At Brookhaven's Lab third graphics processing unit (GPU) hackathon, participants accelerated applications spanning particle physics, astrophysics, chemistry, biology, machine learning, and geoscience.
MOSAiC, the largest polar expedition of all time, will produce demanding quantities of data. ORNL staff in the field and the lab collect, store and process it to share with collaborators around the world.
Assistant Professor of Computational Physics and Planetary Science Carrie Nugent has been awarded a three-year grant from NASA to detect asteroids in archival data. This work will be in collaboration with Dr. James “Gerbs” Bauer at the University of Maryland.
A joint research team from Google Inc., NASA Ames Research Center, and the Department of Energy’s Oak Ridge National Laboratory has demonstrated that a quantum computer can outperform a classical computer at certain tasks, a feat known as quantum supremacy.
A Q&A with a Berkeley Lab scientist on how exascale computing could dramatically accelerate research and earthquake safety
From July 28 to Aug. 9, 73 students participated in the 2019 Argonne Training Program on Extreme-Scale Computing (ATPESC) organized by the U.S. Department of Energy’s (DOE) Argonne National Laboratory and funded by DOE’s Exascale Computing Project (ECP).
The recent InnovationXLab℠ Summit on AI raised the profile of the national laboratories’ work in AI and forged new partnerships between industry and the national labs.
Researchers at the San Diego Supercomputer Center at UC San Diego have launched an open-source software called SeedMeLab, which provides a host of features for researchers across all disciplines to manage and disseminate their data products from a personalized and branded data cloud with full ownership and control.
Princeton University officially launches a new supercomputer, Traverse, that will accelerate development of the science at PPPL to bring the fusion that powers the sun and stars to Earth.
From today’s perspective, the idea of computer systems that track our tiniesteye movements may seem like a far-off futurist’s dream.
MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL) and the Center for Applied Internet Data Analysis (CAIDA) at the San Diego Supercomputer Center have used machine learning to identify "serial hijacking" of IP addresses.
KC Claffy, director of the Center for Applied Data Analysis (CAIDA) at the University of California’s San Diego Supercomputer Center, has been inducted into the Internet Hall of Fame for her pioneering work in the area of internet measurement and analysis.
An Oak Ridge National Laboratory team mapped the locations of centromeres in Populus trichocarpa (poplar), and a subsequent analysis on the Titan supercomputer showed that genetic variants in the DNA sequence at the centromere and the sequence of a protein structure this DNA wraps around show similar occurrence patterns.
Using the Titan supercomputer and the Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory, scientists have created the most accurate 3D model yet of an intrinsically disordered protein, revealing the ensemble of its atomic-level structures.
Los Alamos National Laboratory and Arm are teaming up to make efficient, workload-optimized processors tailored to the extreme-scale computing requirements of the Laboratory’s national-security mission.
To accelerate promising artificial intelligence applications in diverse research fields, ORNL has established a labwide AI Initiative. This internal investment brings the lab’s AI expertise, computing resources and user facilities together to facilitate analyses of massive datasets.
Profiled is physicist Gaute Hagen of the Department of Energy’s Oak Ridge National Laboratory, who runs advanced models on powerful supercomputers to explore how protons and neutrons interact to “build” an atomic nucleus from scratch.
Missouri University of Science and Technology has received a $1.96 million grant from the National Science Foundation to purchase and install a new supercomputing system on its campus in Rolla.
Technical sessions at this year’s conference centered around four thematic areas: Autonomous Systems, Nanophotonics and Plasmonics, Virtual Reality and Augmented Vision, as well as Quantum Technologies.
The U.S. Department of Energy's Oak Ridge National Lab (ORNL) is building the Frontier supercomputer and eight teams of scientists have been chosen by the Oak Ridge Leadership Computing Facility (OLCF) to develop applications for the new machine. One of them will be led by UD's Sunita Chandrasekaran, an assistant professor of computer and information sciences.
Hosted by Argonne National Lab, this live interview on Tuesday, August 27th at 1:00 included Argonne physicist Katrin Heitmann and The University of Chicago's Kyle Chard in a discussion about the challenges inherent in simulating an evolving universe.
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
Researchers have developed a machine learning approach called transfer learning that lets them model novel materials by learning from data collected about millions of other compounds. The new approach can be applied to new molecules in milliseconds, enabling research into a far greater number of compounds over much longer timescales.
Superconductors are materials that show no resistance to electrical current when cooled. Recently, scientists discovered a new superconducting material. Now, scientists have found that when exposed to low-energy ultraviolet light, the material acts as a superconductor at higher temperatures.
The measurements could inform the search for new materials that perfectly conduct electricity at relatively higher temperatures.
ExaStar aims to create simulations for comparison with experiments and observations to help answer a variety of questions: Why is there more iron than gold in the universe? Why is anything rarer than anything else? Why is finding transuranic elements on the face of the earth difficult?
A team of scientists led by Fermilab has prototyped a method to use machine learning to analyze data from the Large Hadron Collider.
In independent studies, two research teams report important advances in understanding how charge stripes might interact with superconductivity. Both studies were carried out with X-rays at the Department of Energy’s SLAC National Accelerator Laboratory.
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