Articles in the Technology Category

[ Jun 27 2017 - 9:01 am ]

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.

[ Jun 5 2017 - 12:43 pm ]

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.

[ Jun 5 2017 - 12:37 pm ]

Staff is testing OpenShift as a way for users to independently deploy and manage scientific workflows on OLCF systems.

[ May 9 2017 - 9:16 am ]

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.

[ Apr 18 2017 - 8:04 am ]

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.

[ Apr 18 2017 - 7:48 am ]

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.

[ Mar 28 2017 - 9:34 am ]

In 2016, the OLCF introduced a new runtime framework that allows users of hybrid systems—such as the OLCF’s 27-petaflop Titan—to better exploit GPU-accelerated architectures.

[ Mar 28 2017 - 9:26 am ]

OLCF staff created the Constellation DOI framework that makes it possible for a researcher to obtain a digital object identifier (DOI) to catalog and publish scientific data artifacts for open access.

[ Feb 28 2017 - 10:44 am ]

OLCF staff members led a workshop January 10–12 to provide CAAR teams with a quickstart guide for using the Summitdev early access system, which features IBM’s POWER processors and NVIDIA’s Pascal GPU–based architecture.

[ Jan 31 2017 - 3:56 pm ]

Leveraging the high-performance computing and data resources provided by the OLCF and CADES, neuroscience researchers are advancing the computational modeling of individual neurons.