Articles tagged with: ADIOS
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.
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).
For many researchers, Titan is only part of the picture; managing and understanding data are quickly becoming as important as the simulations that create it.
Princeton’s Jeroen Tromp is part of a team using Oak Ridge National Laboratory’s (ORNL’s) Titan supercomputer, to reveal the Earth’s inner workings via adjoint tomography simulations, or monitoring the interaction of a forward wavefield, in which the waves travel from the source to the receivers, and an “adjoint” wavefield in which the waves travel inversely from the receivers to the source.
The Ken Kennedy Institute for Information Technology at Rice University hosted its annual Oil and Gas HPC Workshop in Houston, Texas.
By adding a graphics processing unit (GPU) accelerator to the 16-core central processing unit (CPU) on each node, the OLCF substantially increased Titan’s computing capability, enabling INCITE researchers to reach unprecedented science achievements.
Nearly two dozen software tool developers gathered recently at ORNL to boost the integration of the award-winning ADIOS into their technologies.
With big science, comes big data. Large-scale simulations that drive molecular dynamics, climate, plasma physics, and other research on Titan generate enormous data sets.
A team of researchers led by the OLCF’s Scott Klasky received an R&D 100 Award for the development of the Adaptable I/O System for Big Data, or ADIOS.
The newest update to the Adaptable Input/Output System (ADIOS), version 1.4, allows users more time to focus on achieving scientific insight and less on managing data.