Tag: high-performance computing

Lab scientists win three R&D 100 awards

sarah JonasResearch Results

Lawrence Livermore National Laboratory scientists and engineers have earned three R&D 100 awards from the trade journal R&D World Magazine. The LLNL awards include a spectral beam combining optic that enables a single, high-power beam with unparalleled compactness and damage resistance; an open-source memory-mapping library with increased power and flexibility; and a user-level file system for high performance computing systems. With this year’s results, the Laboratory has now collected a total of 182 R&D 100 awards since 1978.

At the Climate READi workshop: Resilient power systems in the context of climate change

sarah JonasFeature

The Department of Energy’s Oak Ridge National Laboratory and other institutions joined industry stakeholders in exploring solutions for power grid climate resilience at the Climate READi Southeast workshop co-hosted by EPRI and ORNL’s Water Power Program on April 10-11.

$300,000 NSF MRI grant awarded to Furman, Mount Holyoke, Richmond to expand program for young chemists

sarah JonasAnnouncement

The three-year grant is earmarked for the purchase of an additional high-performance computer cluster to join existing MERCURY resources hosted offsite. The grant will enable 13 more undergraduate-focused research groups to benefit, growing the consortium to 47 computational scientists at 41 institutions nationwide.

Department of Energy Announces $80 Million for Research to Accelerate Innovations in Emerging Technologies

sarah JonasAnnouncement

Today, the U.S. Department of Energy (DOE) announced $80 million, provided by the Office of Science, to support fundamental research to drive the innovation cycle in support of the Accelerate Innovations in Emerging Technologies (Accelerate) initiative.

Department of Energy Announces $8.5 Million in High-Performance Algorithms for Complex Energy Systems and Processes

sarah JonasAnnouncement

Today, the U.S. Department of Energy (DOE) announced $8.5 million in funding for basic research in the development of randomized algorithms for understanding and improving the properties and behavior of complex energy systems. Problems involving the design of scientific experiments or energy and communication infrastructures can often be viewed as a discrete, networked system of systems that needs to be optimized. Such discrete optimization problems cannot be efficiently solved with conventional algorithms that are not well-suited for graphs, networks, and streaming data.

VA, ORNL and Harvard develop novel method to identify complex medical relationships

sarah JonasResearch Results

A team of researchers from the Department of Veterans Affairs, Oak Ridge National Laboratory, Harvard’s T.H. Chan School of Public Health, Harvard Medical School and Brigham and Women’s Hospital has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.

Physicists Crack the Code to Signature Superconductor Kink Using Supercomputing

sarah JonasResearch Results

A team performed simulations on the Summit supercomputer and found that electrons in cuprates interact with phonons much more strongly than was previously thought, leading to experimentally observed “kinks” in the relationship between an electron’s energy and the momentum it carries.

ORNL’s superb materials expertise, data and AI tools propel progress

sarah JonasFeature

At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.

Simulations Reveal Nature’s Design for Error Correction During DNA Replication

sarah JonasResearch Results

A Georgia State University team has used the nation’s fastest supercomputer, Summit at the US Department of Energy’s Oak Ridge National Laboratory, to find the optimal transition path that one E. coli enzyme uses to switch between building and editing DNA to rapidly remove misincorporated pieces of DNA.

New NSF Physics Frontier Center Will Focus on Neutron Star Modeling in ‘Gravitational Wave Era’

sarah JonasAnnouncement

A new Physics Frontier Center at UC Berkeley, supported by the National Science Foundation, expands the reach and depth of existing capabilities on campus and at neighboring Berkeley Lab in modeling one of the most violent events in the universe: the merger of neutron stars and its explosive aftermath.

Summit Helps Predict Molecular Breakups

sarah JonasResearch Results

A team used the Summit supercomputer to simulate transition metal systems—such as copper bound to molecules of nitrogen, dihydrogen, or water—and correctly predicted the amount of energy required to break apart dozens of molecular systems, paving the way for a greater understanding of these materials.

Supercomputing Aids Scientists Seeking Therapies for Deadly Bacterial Disease

sarah JonasFeature

A team of scientists led by Abhishek Singharoy at Arizona State University used the Summit supercomputer at the Oak Ridge Leadership Computing Facility to simulate the structure of a possible drug target for the bacterium that causes rabbit fever.

Major upgrades of particle detectors and electronics prepare CERN experiment to stream a data tsunami

sarah JonasFeature

For an experiment that will generate big data at unprecedented rates, physicists led design, development, mass production and delivery of an upgrade of novel particle detectors and state-of-the art electronics.

BP Looks to ORNL, ADIOS to Help Rein in Data

sarah JonasFeature

British Petroleum researchers invited ORNL data scientists to give the company’s high-performance computing team a tutorial of the laboratory’s ADIOS I/O middleware. ADIOS has helped researchers achieve scientific breakthroughs by providing a simple, flexible way to describe data in their code that may need to be written, read, or processed outside of the running simulation. ORNL researchers Scott Klasky and Norbert Podhorszki demonstrated how it could help the BP team accelerate their science by helping tackle their large, unique seismic datasets.

Gordon Bell Finalist Team Tackles Transistors with New Programming Paradigm

sarah JonasFeature

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.