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Why HPE Cray EX Is the Supercomputer of Choice at Leading Weather Centers

[SPONSORED POST] For decades, compute resources used for weather forecasting have tracked with advances in state-of-the-art supercomputing. Which is to say that the weather segment demands systems with the greatest data ingest and storage capacity combined with the most powerful processing capabilities. As the accuracy of daily weather forecasts and warnings of severe weather depend on high-performance computing combined, increasingly, with artificial intelligence, it is perhaps not surprising that weather segment IT spending has not been affected by the COVID-19 pandemic. Hyperion Research predicts that it will in fact grow by an astonishing 33 percent between 2021–20241, significantly outpacing

DOE Awards $15.6M for Climate Modeling

The U.S. Department of Energy (DOE) today awarded $15.6 million for new research studying the properties, formation, and interactions between atmospheric clouds and the aerosols that form them. These projects will help scientists better understand one of the most challenging aspects of earth system modeling and improve their ability to accurately predict weather and climate […]

Atos and ECMWF Launch Center of Excellence in Weather and Climate Modelling with HPC, AI and Quantum

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 […]

InfiniBand Powers World’s Leading Weather Forecasters’ Supercomputers

In this feature article from our friends over at Mellanox, we discuss how weather and climate models are both compute and data intensive. Forecast quality scales with modeling complexity and resolution. Resolution depends on the performance of supercomputers. And supercomputer performance depends on the underlying interconnect technology: to get higher performance, the interconnect must be able to move data quickly, effectively and in a scalable manner across compute resources.

Compendium of articles published on Numerical Algorithms for HPC Science

The Royal Society Publishing has recently released a special compendium of articles based on a recent scientific discussion meeting with HPC Industry thought leaders. “This issue contains contributions from those who develop and implement numerical algorithms and software libraries – numerical analysts, computer scientists, and high-performance computing researchers – with those who use them in some of today’s most challenging applications.”

Latest Climate Models Predict Thinner Clouds and More Global Warming

Thanks to clouds, latest climate models predict more global warming than their predecessors. Researchers at LLNL in collaboration with colleagues from the University of Leeds and Imperial College London have found that the latest generation of global climate models predict more warming in response to increasing carbon dioxide. “If global warming leads to fewer or thinner clouds, it causes additional warming above and beyond that coming from carbon dioxide alone. In other words, an amplifying feedback to warming occurs.”

Energy Exascale Earth System Model to Accelerate Climate Research

As one of the Grand Challenges of our time, climate modeling typically requires long run times and huge computational resources. Sandia National Laboratories has awarded Kelsey DiPietro a Jill Hruby Fellowship to tackle this issue. As an applied mathematician, DiPietro has proposed a way to make computer models more efficient — improving accuracy without increasing time or resources to run them.

Real-World Applications in Numerical Ocean Modeling

Fangli Qiao from the First Institute of Oceanography in China gave this talk at PASC19. “In this interdisciplinary dialogue we will address such questions as – what is state-of-the-art in numerical ocean modeling? And what are the current trends in model improvement? We will consider several applications of the surface wave-tide-circulation coupled numerical ocean model, such as nuclear radiation spread prediction following damage to the Fukushima Nuclear Power in 2011, and the rescue of lives at sea after boats capsized near Phuket in 2018.”

Epic HPC Road Trip Continues to NCAR

In this special guest feature, Dan Olds from OrionX continues his Epic HPC Road Trip series with a stop at NCAR in Boulder. “Their ability to increase model precision/resolution and to increase throughput at the same time is becoming more difficult over time due to core speed slowing down as more cores are added. In other words, new chips aren’t providing the same increase in performance as we’ve become accustomed to over the years.”

Video: Exascale Deep Learning for Climate Analytics

Thorsten Kurth Josh Romero gave this talk at the GPU Technology Conference. “We’ll discuss how we scaled the training of a single deep learning model to 27,360 V100 GPUs (4,560 nodes) on the OLCF Summit HPC System using the high-productivity TensorFlow framework. This talk is targeted at deep learning practitioners who are interested in learning what optimizations are necessary for training their models efficiently at massive scale.”