The Daily Bulletin

CISL is now accepting requests from university-based researchers for large-scale allocation requests; submissions are due September 12. Fall allocation requests should focus on the forthcoming Cheyenne system. Only projects that have previously received Yellowstone allocations and need modest amounts to complete their work should ask for Yellowstone core-hours.

Large allocations for Cheyenne will be those greater than 400,000 core-hours; large allocations on Yellowstone are those for more than 200,000 core-hours. CISL accepts requests from university researchers for large-scale allocations every six months.

See the University allocations web page for more information. The submission instructions include information about estimating Cheyenne core-hour needs.

Please email cislhelp@ucar.edu for questions.

The new 5.34-petaflops Cheyenne HPC system is the subject of a 60-minute webcast scheduled for 10:30 a.m. Tuesday, August 9. Dave Hart, CISL’s User Services Section manager, will discuss the capabilities of the new system, which will be installed at the NCAR-Wyoming Supercomputing Center in the second half of 2016. It is scheduled to become operational at the beginning of 2017. 

University users and others who weren’t able to attend earlier presentations in Boulder are invited to participate. Use this form to register for the webcast.

The CISL Consulting Services Group is offering a four-day Modern Fortran workshop starting Tuesday, August 23.

The workshop will cover Fortran declarations and action statements, and it will emphasize vector programming, object-oriented programming, and parallel programming. Interoperability between Fortran and C also will be discussed. 

The workshop is scheduled for 9 a.m. to noon and 1 to 4 p.m. August 23-26 at the NCAR Mesa Lab (VisLab-ML4) in Boulder. The class will not be recorded or webcast. Space is limited, so please make sure you will be able to attend before you register using this form.

This year's AGU Fall Meeting will have a session focused on science results from Yellowstone and other petascale systems, and we would like to encourage Yellowstone users to submit an abstract about results you may have from your allocations on the system. Session conveners are Jim Hurrell, Director of the National Center for Atmospheric Research (NCAR); Jim Kinter, Director of the Center for Ocean-Land-Atmosphere Studies (COLA); Doug Nychka, Director of the Institute for Mathematics Applied to Geosciences (IMAGe) at NCAR; and Marijke Unger, External Relations Specialist at NCAR.

Early submission deadline for abstracts is July 27 and abstract submissions close on August 3. To submit an abstract, please see http://fallmeeting.agu.org/2016/. The session information is included below.

If you have any questions, please contact Marijke Unger (marijke@ucar.edu).

Session ID: 13305

Session Title: IN041. Supercomputing for Geoscience: Success Stories from Yellowstone and Other Petascale Systems

Section/Focus Group: Earth and Space Science Informatics

Supercomputing for Geoscience: Success Stories from Yellowstone and Other Petascale Systems 

Geoscience has advanced dramatically in the past 50 years by exploiting supercomputers. For example, the Yellowstone supercomputer has been exclusively dedicated to the geosciences, and has contributed two billion core hours to help scientists answer questions about the solar dynamo and photosphere, learn about climate predictability and make predictions of future climate, understand turbulence, and study space and global weather. Yellowstone is operated by the National Center for Atmospheric Research with funding from the National Science Foundation, and has served a global community of 2,500 space physicists, climate dynamics researchers, mesoscale meteorologists, and geologists. This session illustrates the value of high performance computing resources dedicated to geoscience, showcasing computational advances in understanding anthropogenic climate change and associated impacts, in modeling the Sun and predicting coronal mass ejections, in improving severe weather forecasts, and in finding new sources of energy, and looks at how future supercomputers might inform scientific discovery.