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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.”

Evolving NASA’s Data and Information Systems for Earth Science

Rahul Ramachandran from NASA gave this talk at the HPC User Forum. “NASA’s Earth Science Division (ESD) missions help us to understand our planet’s interconnected systems, from a global scale down to minute processes. ESD delivers the technology, expertise and global observations that help us to map the myriad connections between our planet’s vital processes and the effects of ongoing natural and human-caused changes.”

Job of the Week: HPC Specialist in Software Development at DKRZ

The German Climate Computing Centre (DKRZ) is seeking and HPC and Specialist in Software Development in our Job of the Week. “DKRZ is involved in numerous national and international projects in the field of high-performance computing for climate and weather research. In addition to the direct user support, depending on your interest and ability, you will also be able to participate in this development work.”

Gordon Bell Prize Highlights the Impact of Ai

In this special guest feature from Scientific Computing World, Robert Roe reports on the Gordon Bell Prize finalists for 2018. “The finalist’s research ranges from AI to mixed precision workloads, with some taking advantage of the Tensor Cores available in the latest generation of Nvidia GPUs. This highlights the impact of AI and GPU technologies, which are opening up not only new applications to HPC users but also the opportunity to accelerate mixed precision workloads on large scale HPC systems.”

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.

NERSC: Sierra Snowpack Could Drop Significantly By End of Century

A future warmer world will almost certainly feature a decline in fresh water from the Sierra Nevada mountain snowpack. Now a new study by Berkeley Lab shows how the headwater regions of California’s 10 major reservoirs, representing nearly half of the state’s surface storage, found they could see on average a 79 percent drop in peak snowpack water volume by 2100. “What’s more, the study found that peak timing, which has historically been April 1, could move up by as much as four weeks, meaning snow will melt earlier, thus increasing the time lag between when water is available and when it is most in demand.”

NOAA Report: Effects of Persistent Arctic Warming Continue to Mount

NOAA is out with their 2018 Arctic Report Card and the news is not good, folks. Issued annually since 2006, the Arctic Report Card is a timely and peer-reviewed source for clear, reliable and concise environmental information on the current state of different components of the Arctic environmental system relative to historical records. “The Report Card is intended for a wide audience, including scientists, teachers, students, decision-makers and the general public interested in the Arctic environment and science.”