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Progress and Challenges for the Use of Deep Learning to Improve Weather Forecasts

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

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

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.”

ESCAPE-2 Project to develop algorithms for weather and climate prediction at exascale

Today ECMWF launched the ESCAPE-2 project on energy-efficient scalable algorithms for weather and climate prediction at exascale. “It brings together 12 partners, including national meteorological and hydrological services, HPC centers, hardware vendors and universities. The ESCAPE project aims to prepare NWP and climate models for new computing architectures towards exascale computing, with a focus on energy efficiency.”

How to Prepare Weather and Climate Models for Future HPC Hardware

Peter Dueben from ECMWF gave this talk at the NVIDIA GPU Technology Conference. “Learn how one of the leading institutes for global weather predictions, the European Centre for Medium-Range Weather Forecasts (ECMWF), is preparing for exascale supercomputing and the efficient use of future HPC computing hardware. I will name the main reasons why it is difficult to design efficient weather and climate models and provide an overview on the ongoing community effort to achieve the best possible model performance on existing and future HPC architectures.”

Speakers Announced for PASC18 in Basel

The PASC18 conference has posted their conference speaker agenda. Registration is now open for this HPC event, which takes place July 2-4 in Basel, Switzerland. “PASC18 offers three days of stimulating technical sessions with more than 200 talks in total. The program includes keynote presentations, minisymposia, peer-reviewed papers, posters, an interdisciplinary dialogue, and a panel discussion.”

Job of the Week: Director of Computing at ECMWF

“Supercomputing capability plays a key role in ECMWF’s success and in its ability to implement its strategic vision to 2025. In order to meet the required flexibility for future growth, ECMWF’s data centre is being relocated to Bologna, Italy and will be operational in 2020. The new Director of Computing will be responsible for delivering this challenging transition, fit-out and transformation, whilst ensuring that ECMWF’s computing capability continues to support some of the most critical scientific advances of our time.”

PASC18 Keynote to Focus on Kilometre-Scale Earth System Simulations

Today the PASC18 conference announced that Nils P. Wedi from ECMWF will be one of its keynote speakers. “This talk will illustrate the need for and practicality of producing ensembles of km-scale simulations, summarize progress on accelerating state-of-the-art global weather and climate predictions, and discuss outstanding issues and future directions on producing and analysing big weather data while balancing time-critical customer needs with energy- and time-to-solution.”

A Scalable Object Store for Meteorological and Climate Data

Simon D. Smart gave this talk at the PASC17 conference. “Numerical Weather Prediction (NWP) and Climate simulations sit in the intersection between classically understood HPC and the Big Data communities. Driven by ever more ambitious scientific goals, both the size and number of output data elements generated as part of NWP operations has grown by several orders of magnitude, and will continue to grow into the future. This poses significant scalability challenges for the data processing pipeline, and the movement of data through and between stages is one of the most significant factors in this.”

Top Weather and Climate Sites run on DDN Storage

“DDN’s unique ability to handle tough application I/O profiles at speed and scale gives weather and climate organizations the infrastructure they need for rapid, high-fidelity modeling,” said Laura Shepard, senior director of product marketing, DDN. “These capabilities are essential to DDN’s growing base of weather and climate organizations, which are at the forefront of scientific research and advancements – from whole climate atmospheric and oceanic modeling to hurricane and severe weather emergency preparedness to the use of revolutionary, new, high-resolution satellite imagery in weather forecasting.”