Articles tagged with: Data
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.
Open Scalable File Systems, Inc. (OpenSFS), the nonprofit community organization dedicated to Lustre file system technology, recently changed its structure to give users a premier role in the organization. File and Storage System Team Lead Sarp Oral will represent the OLCF on the newly appointed OpenSFS board.
ORNL recently partnered with Oracle to test some of the database technology company’s new firmware in a collaborative laboratory environment inside the OLCF’s High-Performance Storage System. Oracle is providing five of its enterprise-class tape drives, while ORNL is providing the resources, networking, and manpower for the testing environment.
Oak Ridge National Laboratory hosted a boot camp in conjunction with the University of Tennessee’s Reliability and Maintainability Center within the College of Engineering. This
New ORNL user group, NVIDIA system ignite interest in fast-growing field
Though they sprout from the same family tree, scientific computing …
In April 2014, a team used its INCITE allocation to simulate galaxy formation over billions of years using one trillion particles in a simulation called ds14_a (ds stands for Dark Sky).
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.
ORNL’s MDF recently reached out to the Oak Ridge Leadership Computing Facility’s (OLCF’s) Advanced Data and Workflow Group for assistance with 3-D visualization.
The OLCF will support a new service, Spark On-Demand, that enables users to instantiate Apache Spark to conduct in situ data analysis on OLCF compute resources.