Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jacques Middlecoff"'
Publikováno v:
The International Journal of High Performance Computing Applications. :109434202211395
This study uses a single software framework to compare the CPU performance of Arakawa A-grid (NICAM) and C-grid (MPAS) schemes for solving the shallow-water equations on icosahedral grids. The focus is on high-resolution weather prediction. Performan
Autor:
Tom Henderson, Ning Wang, Alexander E. MacDonald, Antonio Duarte, Jim Rosinski, Jacques Middlecoff, Paul Madden, Mark Govett, Julie Schramm, Jin Lee
Publikováno v:
Bulletin of the American Meteorological Society. 98:2201-2213
The design and performance of the Non-Hydrostatic Icosahedral Model (NIM) global weather prediction model is described. NIM is a dynamical core designed to run on central processing unit (CPU), graphics processing unit (GPU), and Many Integrated Core
Autor:
Cesar E. Valladares, Rashid Akmaev, Yang Yi Sun, Tim Fuller-Rowell, Jacques Middlecoff, Tzu-Wei Fang, Naomi Maruyama, Phillip G. Richards, Jaun Yeng Liu
Publikováno v:
Geophysical Research Letters. 43:2429-2435
The newly developed Ionosphere-Plasmasphere (IP) model has revealed neutral winds as a primary source of the “third-peak” density structure in the daytime global ionosphere that has been observed by the low-latitude ionospheric sensor network GPS
Autor:
James Rosinski, Paul Madden, Tanya Smirnova, Stanley G. Benjamin, Rainer Bleck, Alexander E. MacDonald, Michael Fiorino, Jin-Luen Lee, John M. Brown, Tom Henderson, Shan Sun, Jian-Wen Bao, Jacques Middlecoff, Ning Wang
Publikováno v:
Monthly Weather Review. 143:2386-2403
A hydrostatic global weather prediction model based on an icosahedral horizontal grid and a hybrid terrain-following/isentropic vertical coordinate is described. The model is an extension to three spatial dimensions of a previously developed, icosahe
Publikováno v:
WACCPD@SC
The NIM is a performance-portable model that runs on CPU, GPU and MIC architectures with a single source code. The single source plus efficient code design allows application scientists to maintain the Fortran code, while computer scientists optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::520dbf1f546d3a85cdc01e5be027c9a8
Publikováno v:
CCGRID
We are using GPUs to run a new weather model being developed at NOAA’s Earth System Research Laboratory (ESRL). The parallelization approach is to run the entire model on the GPU and only rely on the CPU for model initialization, I/O, and inter-pro
Publikováno v:
SIGUCCS