Articles in the Technology Category

[ Sep 28 2016 - 8:09 am ]

Adaptive Input/Output System (ADIOS) developers have partnered with a team at Fermi National Accelerator Laboratory to integrate Fermilab’s Multicore-Aware Data Transfer Middleware into ADIOS.

[ Sep 6 2016 - 8:10 am ]

New ORNL user group, NVIDIA system ignite interest in fast-growing field
Though they sprout from the same family tree, scientific computing …

[ Aug 16 2016 - 9:20 am ]

To improve input/output for its FireFOAM, the FM Global team partnered with OLCF staffer Norbert Podhorszki and Mark Olesen of ESI-OpenCFD, an organization that contributes to the development of OpenFOAM, to implement the OLCF’s Adaptable I/O System (ADIOS).

[ Jul 5 2016 - 8:33 am ]

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.

[ May 31 2016 - 7:14 am ]

Researchers came together to use Titan’s GPUs for two X-Stack project teams to develop demonstrations for their research prototypes.

[ May 10 2016 - 8:14 am ]

ORNL recently hosted the Eclipse User Group and Development Meeting to teach best practices for using Eclipse’s community of open-source software solutions.

[ May 10 2016 - 8:13 am ]

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.

[ Apr 19 2016 - 8:30 am ]

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.

[ Mar 29 2016 - 9:34 am ]

Forge, a combination of the Allinea DDT and MAP software tools, will continue to provide users at the OLCF with the debugging capability of DDT while adding the MAP software.

[ Mar 29 2016 - 9:29 am ]

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.