Articles tagged with: Big Data
Staff is testing OpenShift as a way for users to independently deploy and manage scientific workflows on OLCF systems.
Using the Titan supercomputer, a team at Oak Ridge National Laboratory is developing automated data tools for cancer research by employing deep learning techniques.
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.
OLCF staff delivered talks and tutorials to Lustre users covering the center’s on-going contributions to the effort to expand the parallel file system’s performance and flexibility.
An article, published in the October 2015 issue of Nature Materials, provides an overview of recent advances in experimental imaging, data analytics, and high-performance computing that are enabling new opportunities for discovery and design of advanced materials.
Sreenivas Rangan Sukumar is the new Group Leader for the Advanced Data and Workflow Group.
The OLCF played a significant role in an ORNL event to share knowledge and discuss the future development of the parallel file system, Lustre.
The Joint Facilities User Forum on Data-Intensive Computing brought together users and HPC center staff to discuss approaches to handling data, best practices, and the future of data-driven scientific discovery.
The OLCF recently relocated the center’s archive tape library to a centralized location with a more controlled environment, resulting in better overall availability and uptime for OLCF system users and better resiliency of the media.
Supercomputing experts from around the world used a recent meeting in the Tennessee Smokies to grapple with the challenges of “big data.”