Articles Archive for June 2017
OLCF staff led talks, tutorials, and discussions on the present and future of GPU computing at the GPU Technology Conference (GTC) May 8–11 in San Jose, California.
The 2017 OLCF user meeting, held May 23–25 at ORNL, gave users and staff a chance to share achievements on Titan, discuss Summit, and explore deep learning.
Using the 27-petaflop Titan supercomputer, a team of researchers based at Princeton Plasma Physics Laboratory are predicting how ITER—the world’s largest experimental magnetic fusion reactor, which is currently under construction in France—will withstand the extreme heat involved in extracting exhaust.
In response to a growing interest in data services that are integrated with high-performance computing, the National Center for Computational Sciences has expanded its data analysis group, the Advanced Data and Workflow group.
A team led by ORNL’s Amit Shyam and Dongwon Shin is using Titan to explore the possibilities of designing various high-temperature–capable alloys, in hopes of changing the paradigm for current alloy design and significantly shortening the typical alloy development and deployment process.
A team of computational researchers, led by Jefferson Lab’s Robert Edwards, has been using the Titan supercomputer to support advancements in large-scale Jefferson Lab experiments.
OLCF scientific computing liaison Gustav Jansen received honorable mention for the 2017 Hermann Kümmel Early Achievement Award in Many-Body Physics. The award recognizes “young physicists whose published work is a significant contribution to quantum many-body theory.”
The OLCF’s new NVIDIA DGX-1 deep learning system is offering scientists opportunities to explore deep learning’s potential to leverage big data analytics to automate and accelerate the scientific discovery process.
Staff is testing OpenShift as a way for users to independently deploy and manage scientific workflows on OLCF systems.
