Articles in the Technology Category
Computer scientists recently optimized a miniature application called Minisweep for OpenACC using OLCF resources.
In November 2015, three colleagues representing the US Department of Energy (DOE) Office of Science’s three major supercomputing facilities struck …
The OLCF’s 2017 GPU Hackathon gave programmers opportunities to adapt their codes for large GPU architectures such as Summit.
CADES computing supports CERN-led ALICE experiment.
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.
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.
OLCF staff members recently built and ran a technology called containers, which bundle an operating system and software into a single file and make it easier for researchers to run deep learning software on OLCF supercomputers.
The OLCF’s new ARM1 early development system gives researchers the opportunity to test various software packages and explore an experimental environment for ARM architecture–based systems.
While upgrading chemistry applications in the pre-Summit development environment known as Summitdev, Oak Ridge Leadership Computing Facility staff fixed an unexpected bottleneck in a key tensor algebra library, boosting performance by as much as 10 times.