London and Reading, UK; Paris, France; Bologna, Italy – October 5 2020 – Atos, a global leader in digital transformation, and the European Center for Medium-Range Weather Forecasts (ECMWF), today announce a new Center of Excellence in HPC, AI and Quantum computing for Weather & Climate. The Center will be based at ECMWF’s headquarters in Reading, UK, where […]
Atos and ECMWF Launch Center of Excellence in Weather and Climate Modelling with HPC, AI and Quantum
October 5, 2020 by
Video: Machine Learning for Weather Forecasts
May 10, 2020 by
Peter Dueben from ECMWF gave this talk at the Stanford HPC Conference. “I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future.”
Registration Opens for Stanford HPC Conference Virtual Event
March 30, 2020 by
Registration is now open for the Stanford HPC Conference. The two day ‘condensed’ agenda combines thought leadership and practical insights on HPC, AI, Data Science and much more. The virtual event takes place April 21-22. “The Stanford High Performance Computing Center in collaboration with the HPC-AI Advisory Council invite you to join the annual Stanford Conference as an entirely virtual experience.”
Building Cloud-Based Services to Enable Earth Science Workflows across HPC Centres
March 6, 2020 by
In this video from FOSDEM 2020, John Hanley from ECMWF presents: Building Cloud-Based Services to Enable Earth Science Workflows across HPC Centres. Weather forecasts produced by ECMWF and environment services by the Copernicus programme act as a vital input for many downstream simulations and applications. A variety of products, such as ECMWF reanalyses and archived […]
Podcast: AMD to Power New ECMWF Supercomputer for Weather Forecasting
February 7, 2020 by
In this podcast, the Radio Free HPC looks at the new ECMWF supercomputer. “This new system will give them roughly 5x more compute power than their current system. The new box is an Atos BullSequana XH2000 fueled by high-end AMD 7742 Epyc processors, which will be the most powerful weather computer in the world. During the conversation we look at the history of ECMWF vendors, discuss the implications on weather forecasts given the power of this new system and the computational difficulties inherent in weather prediction.”
AMD to Power Atos Supercomputer at ECMWF
January 15, 2020 by
Today Atos announced an €80 million contract with the European Centre for Medium-Range Weather Forecasts (ECMWF) to supply its for a BullSequana XH2000 supercomputer. Powered by AMD EPYC 7742 processors, the new system will be the most powerful meteorological supercomputers in the world. “The Atos supercomputer will allow ECMWF to run its world-wide 15-day ensemble prediction at a higher resolution of about 10km, reliably predicting the occurrence and intensity of extreme weather events ahead of time.”
Call for Abstracts: 19th Workshop on High Performance Computing in Meteorology
January 14, 2020 by
The 19th Workshop on High Performance Computing in Meteorology has issued its Call for Abstracts. With a theme entitled “Towards Exascale Computing in Numerical Weather Prediction, the event takes place September 14-18 in Bologna, Italy. “The workshop will consist of keynote talks from invited speakers, 20-30 minute presentations, a panel discussion and a visit to the new data centre. Our aim is to provide a forum where users from our Member States and around the world can report on recent experience and achievements in the field of high performance computing; plans for the future and requirements for computing power will also be presented.”
Progress and Challenges for the Use of Deep Learning to Improve Weather Forecasts
November 1, 2019 by
Peter Dueben from ECMWF gave this talk at the UK HPC Conference. “I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will then talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future.”
Panel Discussion: Exascale and Beyond – Challenges in Productive and Sustainable Software
June 20, 2019 by
In this video from PASC 2019, Lois Curfman McInnes from Argonne and Rich Brueckner from insideHPC moderate a panel discussion on the challenges of software development for exascale supercomputers. “Software—the key crosscutting technology by which teams collaborate toward predictive science—is dramatically increasing in complexity due to disruptive architectural changes, multiphysics and multiscale modeling, the coupling of simulations and data analytics, and the demand for greater reproducibility and sustainability.”
PASC19 Preview: Brueckner and Dr. Curfman-McInnes to Moderate Exascale Panel Discussion
March 22, 2019 by
Today the PASC19 Conference announced that Dr. Lois Curfman McInnes from Argonne and Rich Brueckner from insideHPC will moderate a panel discussion with thought leaders focused on software challenges for Exascale and beyond. “In this session, Lois Curfman McInnes from Argonne National Laboratory and Rich Brueckner from insideHPC will moderate a panel discussion with thought leaders focused on software challenges for Exascale and beyond – mixing “big picture” and technical discussions. McInnes will bring her unique perspective on emerging Exascale software ecosystems to the table, while Brueckner will illustrate the benefits of Exascale to world-wide audiences.”
