Exawind Project Demonstrates Blade-Resolved Simulation of NREL 5 MW Reference Wind Turbine
HPCwire October 25, 2018 https://www.hpcwire.com/off-the-wire/exawind-project-demonstrates-blade-resolved-simulation-of-nrel-5-mw-reference-wind-turbine/
HPCwire October 25, 2018 https://www.hpcwire.com/off-the-wire/exawind-project-demonstrates-blade-resolved-simulation-of-nrel-5-mw-reference-wind-turbine/
On ECP's podcast, Todd Gamblin, a computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory, shares insights about his product, called Spack, the deployment tool for ECP's software stack.
ECP's ExaWind project aims to advance the fundamental comprehension of whole wind plant performance. The ExaWind team recently performed a turbine sim
The insideHPC blog reports that a team of computational scientists from Lawrence Berkeley and Oak Ridge national laboratories, and engineers from NVIDIA has demonstrated an exascale-class deep learning application that has for the first time broken the exaop barrier.
The HPC industry blog insideHPC features a video from the recent HPC User Forum meeting in Detroit. The focus of the post is a presentation by John Turner of Oak Ridge National Laboratory about ECP's ExaAM project and its endeavors to transform additive manufacturing through exascale simulation.