Articles Archive for July 2016
A team led by Aurel Bulgac of the University of Washington has developed a novel model for capturing the real-time dynamics of nuclear fission without imposed constraints.
This summer the Oak Ridge Leadership Computing Facility brought in 29 students whose backgrounds range from computer architecture, to mathematics and statistics, to artificial intelligence.
DOE employees converged on the San Francisco Bay Area for the 22nd annual Bay Area Maker Faire, which ran May 20 to May 22. The OLCF staff took a modified version of Tiny Titan—a mini parallel computer made of several Raspberry Pi computers that helps educate students about the principles of parallel computing—to inspire a new generation of high-performance computing (HPC) enthusiasts.
This past spring Jason Anderson, high-performance computing systems administrator for the Oak Ridge Leadership Computing Facility, was elected president of the Large Tape Users Group.
Staff members from ORNL and the OLCF once again took leadership roles at the annual Cray User Group meeting,
The US Department of Energy Office of Science has awarded nearly 1 billion processor hours to 22 projects at the Oak Ridge Leadership Computing Facility.
OLCF’s Advanced Data and Workflow Group and the Computer Science and Mathematics Division’s Scientific Data Group have worked together to scale R—the most commonly used data analytics software in academia and a rising programming language in high-performance computing—to the OLCF’s Rhea, Eos, and Titan systems.
After their work simulating the calcium-48 nucleus, a team led by ORNL’s Gaute Hagen continued its work by moving to a larger, heavier, and more complex isotope—calcium-52—and the results surprised the researchers once again.
One hundred thirty-three people attended the 2016 Oak Ridge Leadership Computing Facility (OLCF) User Meeting, making it the largest user meeting to date.
Jack Wells, director of science for the Oak Ridge Leadership Computing Facility, recently served on a panel to discuss the future of high-performance computing (HPC) and its applications in seismology and geophysics.