An INCITE research team, led by Jonathan Aurnou of UCLA, is using Mira to develop advanced models to study magnetic field generation on Earth, Jupiter and the sun at an unprecedented level of detail.
Description: Lawrence Livermore National Laboratory, Frederick National Laboratory for Cancer Research, GSK, and University of California San Francisco will combine vast data stores, supercomputing, and scientific expertise to reinvent the discovery process for cancer medicines.
This week’s landmark discovery of gravitational and light waves generated by the collision of two neutron stars eons ago was made possible by analyses and signal verification performed by Comet, an advanced supercomputer based at the San Diego Supercomputer Center (SDSC) at UC San Diego.
Physicists and computational scientists at Brookhaven Lab will help to develop the next generation of computational tools to push the field of nuclear physics forward.
Astrophysicist Chris Fryer was enjoying an evening with friends on August 25, 2017, when he got the news of a gravitational-wave detection by LIGO, the Laser Interferometer Gravitational-wave Observatory
On Aug. 17, scientists around the globe were treated to near-simultaneous observations by separate instruments that would ultimately be confirmed as the first measurement of the merger of two neutron stars and its explosive aftermath.
LOS ALAMOS, N.M., Dec. 7, 2016—Scott Crooker, of Los Alamos National Laboratory’s Condensed Matter and Magnet Science group, and William Charles Louis III, of the Laboratory’s Physics Division, have been named Fellows of the American Association for the Advancement of Science (AAAS). Election as an AAAS Fellow is an honor bestowed upon AAAS members by their peers.
Scientists need to learn how to take advantage of exascale computing. This is the mission of the Argonne Training Program on Extreme-Scale Computing (ATPESC), which held its annual two-week training workshops over the summer.
Researchers from Berkeley Lab, Lawrence Livermore Lab and UC Davis are building the first-ever end-to-end simulation code to precisely capture the geology and physics of regional earthquakes, and how the shaking impacts buildings
Lawrence Livermore National Lab will be part of a multi-lab effort to apply high-performance computing to US-based industry’s discovery, design, and development of materials for severe environments under a new initiative announced by the Department of Energy (DOE) on Sept. 19.
Computational cosmologists at Berkeley Lab recently achieved a critical milestone in preparation for upcoming CMB experiments: scaling their data simulation and reduction framework TOAST to run on all 658,784 Intel Knights Landing Xeon Phi processor cores on NERSC’s Cori supercomputer. The team also implemented a new TOAST module to simulate the noise introduced when ground-based telescopes look at the CMB through the atmosphere.
Joe Nichols, of the University of Minnesota, is using ALCF resources to create high fidelity simulations of jet turbulence to determine how and where noise is produced. The results may lead to novel engineering designs that reduce noise over commercial flight paths and on aircraft carrier decks.
During major epidemics, cramped airplane cabins are fertile ground for the spread of infection, but new research suggests changing routine boarding protocols could be a key to reducing rampant transmission of disease.
Eight Los Alamos National Laboratory innovations were selected as finalists for the 2017 R&D 100 Awards, which honor the top 100 proven technological advances of the past year as determined by a panel selected by R&D Magazine.
ORNL researchers have been awarded $2 million to apply novel machine learning techniques to large-scale scientific data.
In July, the U.S. Department of Energy’s (DOE) Argonne National Laboratory hosted a five-day Coding Camp for more than two dozen high school juniors and seniors, teaching new programming skills and how computer science is an integral part of an Argonne researcher’s life.
Setting up a supercomputer is far more complicated than just bringing it home from the electronics store. Staff members of the Department of Energy’s supercomputing user facilities spend years on the process, from laying out requirements through troubleshooting. In the end, they run some of the most powerful computers in the world to help solve some of science’s biggest problems.
Two technologies developed at Los Alamos National Laboratory were recently recognized by the Federal Laboratory Consortium’s Mid-Continent Region for their contribution to both Los Alamos’ mission and the greater good.
A computer code used by physicists around the world to analyze and predict tokamak experiments can now approximate the behavior of highly energetic atomic nuclei, or ions, in fusion plasmas more accurately than ever.
Veterans will be the ultimate winners in the U.S. Department of Veterans Affairs-Department of Energy (DOE) Big Data Science Initiative, a collaborative research effort that casts Argonne National Laboratory in a prominent role.
Scientists at Berkeley Lab have developed new computer models to explore what happens when a black hole joins with a neutron star – the superdense remnant of an exploded star.
The annual conference will bring together government, academia, industry, and utilities to focus on key topics critical to enabling scientific discovery from big data.
Argonne researchers tackling cancer through deep learning with an eye towards the future and exascale computing.
Herbert Van de Sompel, research scientist at the Research Library of the Los Alamos National Laboratory, has been named the 2017 recipient of the Paul Evan Peters Award from the Coalition for Networked Information (CNI), the Association of Research Libraries, and EDUCAUSE.
Through the “Facilities Integrating Collaborations for User Science” (FICUS) initiative, 6 proposals have been selected to participate in a new partnership between the DOE Joint Genome Institute and the National Energy Research Scientific Computing Center, both U.S. Department of Energy user facilities at Lawrence Berkeley National Laboratory.
A new integrated climate model developed by Oak Ridge National Laboratory and other institutions is designed to reduce uncertainties in future climate predictions as it bridges Earth systems with energy and economic models and large-scale human impact data.
In collaboration with staff from the Argonne Leadership Computing Facility, researchers at the National Cancer Institute have perfected a technique that accurately computes the 3-D structure of RNA sequences. This method, which relies on a computer program known as RS3D and supercomputer Mira gives researchers studying cancer and other diseases structural insights about associated RNAs that can be used to advance computer-assisted drug design and development.
It’s not unusual for anyone to shop online at Amazon, but one young scientist went to the website looking for more than a favorite book. University of Connecticut Postdoctoral Researcher Nobuo Sato plans to conduct theoretical research in nuclear physics using the online retailer’s computing services, and he has been awarded the 2017 JSA Postdoctoral Research Grant to do it.
A team led by the Department of Energy’s Oak Ridge National Laboratory has used sophisticated neutron scattering techniques to detect an elusive quantum state known as the Higgs amplitude mode in a two-dimensional material.
Someday soon, you might be managing, working with or even working for a robot. A core MBA class at Missouri University of Science and Technology prepares students for this distinct possibility, and teaches them how to coexist with their future artificial intelligence colleagues.
Although neuromorphic computing is still in its infancy, Lawrence Berkeley National Laboratory (Berkeley Lab) researchers hope that these tiny, low-power, brain-inspired computing systems could one day help alleviate some of science’s big data challenges. With funding from the Laboratory Directed Research and Development (LDRD) program, two groups of researchers are exploring how science might benefit from this new technology.
Teams of researchers, students, and software developers recently came together for a hands-on programming workshop to accelerate their scientific applications on computing devices called graphics processing units (GPUs).
The Relativistic Heavy Ion Collider (RHIC) and ATLAS Computing Facility (RACF) Mass Storage Service—part of the Scientific Data and Computing Center (SDCC) at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory—now records 100 petabytes of data reflecting nearly two decades of physics research.
Much the way every person has a unique microbial cloud around them, ships might also carry distinct microbial signatures. The key is testing the right waters--the bilge water from the bottoms of ships.
Scientists have solved a decade-long puzzle about lithium, an essential metal in cellphone and computer batteries. Using extreme pressure experiments and powerful supercomputing, the international team has unraveled the mystery of the structure of lithium.
Article describes ALCC allotment of 269.9 million supercomputer hours to study the complex edge region of fusion plasmas.
USC will lead a consortium of universities and private companies to build quantum computers that are at least 10,000 times faster than the best state-of-the-art classical computers.Such high-powered machines could help facilitate the solution of some of the most difficult optimization problems such as machine learning for image recognition, resolving scheduling conflicts in events with many participants, as well as sampling for improved prediction of random events.
The petascale Comet supercomputer at the San Diego Supercomputer Center (SDSC) on the UC San Diego campus has emerged as a key resource in what is considered to be the most advanced dark matter research quest to-date, with a group of international researchers recently announcing promising results after only one month of operation with a new detector.
UT Southwestern scientists who created a powerful analytic weapon in the fight against cancer and infectious diseases are making that tool available for free via a web-based portal.
Today U.S. Secretary of Energy Rick Perry announced that six leading U.S. technology companies will receive funding from the Department of Energy’s Exascale Computing Project (ECP) as part of its new PathForward program, accelerating the research necessary to deploy the nation’s first exascale supercomputers.
Researchers at Argonne are working to create new and adapt existing software technologies to operate at exascale by overcoming challenges found in several key areas, such as resiliency, data reduction, software libraries and the management of memory, power and computational resources.
A team led by New York University researchers has identified and described how a major player in the repair process, called nucleotide excision repair or NER, works to recognize certain lesions for subsequent removal by the NER machinery.
The San Diego Supercomputer Center (SDSC) at the University of California San Diego has appointed Christopher Irving as manager of the Center’s High-Performance Computing (HPC) systems, effective June 1, 2017.
At Los Alamos National Laboratory, home to more than 100 supercomputers since the dawn of the computing era, elegance and simplicity of programming are highly valued but not always achieved. In the case of a new product, dubbed “Charliecloud,” a crisp 800-line code helps supercomputer users operate in the high-performance world of Big Data without burdening computer center staff with the peculiarities of their particular software needs.
Berkeley Lab's Greg Kurtzer developed Singularity, a solution that allows scientists to use software containers in a high-performance computing (HPC) environment. It has caught on so quickly that Kurtzer has launched SingularityWare LLC, to further develop and support the open-source software.
As part of a project dedicated to modeling how single-celled purple bacteria turn light into food, a team of computational scientists from the University of Illinois at Urbana-Champaign (UIUC) simulated a complete ATP synthase in all-atom detail. The work builds on the project’s first phase—a 100-million atom photosynthetic organelle called a chromatophore—and gives scientists an unprecedented glimpse into a biological machine whose energy efficiency far surpasses that of any artificial system.
Simulations run at Lawrence Berkeley National Laboratory as part of a unique collaboration with Lawrence Livermore National Laboratory and an industry consortium could help U.S. paper manufacturers significantly reduce production costs and increase energy efficiencies.
Children with chronic lung diseases often must wait months or even years for a transplant, while large, immobile hospital equipment that could help them breathe easier actually may worsen their condition by overtaxing already damaged lungs.
The San Diego Supercomputer Center (SDSC) at UC San Diego has been granted a supplemental award from the National Science Foundation (NSF) to double the number of graphic processing units, or GPUs, on its petascale-level Comet supercomputer in direct response to growing demand for GPU computing across a wide range of research domains.
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