We want to take HPC workloads that are not machine learning-centric. - Nicholas D’Imperio, Computational Science Laboratory chairFor him, this will provide a better picture of performance gained overall that may improve legacy codes and HPC workflows to operate on such GPU-dense systems. Oak Ridge National Laboratory debuts the system in experimental facilities and instrumentation produce as well as using it in scientific datasets. The system will also provide an onramp to summit the world’s most powerful supercomputer by enabling smaller and more experimental projects to be developed. The Pacific Northwest National Laboratory intends to model atmospheric phenomena, such as hurricane intensity, using 4-dimensional temperature and pressure profiles across thousands of square kilometers. The new system enables scientists to study systems that were much larger and more complex than was possible before hence catalyzing new discoveries and deep learning approaches to advance the state of the art. Lastly, the Sandia National Laboratories acquires the DGX-2 systems to be the backbone infrastructure for the newly developed Machine Learning as a Service. Their main aim is to allow engineers and scientists unfamiliar with machine learning to take advantage of the capability to rapidly solve difficult problems.
India Coronavirus Cases Update 145,380 Total 4,167 (2.9%) Deaths 60,491 (41.6%) Recovered
27 May 2020, 12:23 PM (GMT)