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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

NCAR Official to Discuss New Supercomputer Friday at Univ. of Wyoming

September 13, 2021 — A top director with the National Center for Atmospheric Research (NCAR) is coming to the University of Wyoming to discuss the capabilities and uses of a new supercomputer that will be installed in the NCAR-Wyoming Supercomputing Center (NWSC) near Cheyenne. Thomas Hauser, director of NCAR’s Computational and Information Systems Laboratory Technology […]

HPE to Build $35M+ NCAR Supercomputer for Extreme Weather Research

Hewlett Packard Enterprise (HPE) this morning said it has won a $35+ million contract to build a supercomputer for the National Center for Atmospheric Research (NCAR), a federal geoscience R&D center for meteorology, climate change and solar activity. HPE said the CPU/GPU-powered system, funded by the National Science Foundation, is expected to deliver 3.5x the […]

Deep Learning for Predicting Severe Weather

Researchers from Rice University have introduced a data-driven framework that formulates extreme weather prediction as a pattern recognition problem, employing state-of-the-art deep learning techniques. “In this paper, we show that with deep learning you can do analog forecasting with very complicated weather data — there’s a lot of promise in this approach.”

Interactive Supercomputing with Jupyter and DASK

Anderson Banihirwe from NCAR gave this talk at SciPy 2019. “This talk demonstrates how to use Dask and Jupyter on large high-performance computing (HPC) systems to scale and accelerate large interactive data analysis tasks — effectively turning HPC systems into interactive big-data platforms. We will introduce dask-jobqueue which allows users to seamlessly deploy and scale dask on HPC clusters that use a variety of job queuing systems such as PBS, Slurm, SGE, and LSF. We will also introduce dask-mpi, a Python package that makes deploying Dask easy from within a distributed MPI environment.”

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.”

NOAA and NCAR team up for Weather and Climate Modeling

The United States is making exciting changes to how computer models will be developed in the future to support the nation’s weather and climate forecast system. NOAA and the National Center for Atmospheric Research (NCAR) have joined forces to help the nation’s weather and climate modeling scientists achieve mutual benefits through more strategic collaboration, shared resources and information.

Advances in the Fields of Atmospheric Science, Climate, and Weather

Susan Bates from NCAR gave this talk at the Blue Waters Summit. “For the past five years, the Blue Waters Project has provided an invaluable platform for research in the fields of atmospheric science, climate, and weather. The computationally intensive numerical models running on Blue Waters push the limits of model resolution and/or capability in first-of-their-kind simulations.”

Building a GPU-enabled and Performance-portable Global Cloud-resolving Atmospheric Model

Richard Loft from NCAR gave this talk at the NVIDIA booth at SC17. “The objectives of NCAR’s exploration of accelerator architectures for high performance computing in recent years has been to 1) speed up the rate of code optimization and porting and 2) understand how to achieve performance portability on codes in the most economical and affordable way.

Job of the Week: Software Engineer at NCAR

NCAR in Boulder is seeking a Software Engineer in our Job of the Week. “This position focuses primarily on the development of tools to meet the needs for the NCAR/IT community, and the design, writing, implementation, and support for systems monitoring tools necessary for the management of the computer infrastructure. Support will also be provided to the research community for the development of web-based analysis tools and general web programming.”