Details

Autor(en) / Beteiligte

• Esposito, Aniello
• Holst, Glendon

Titel

In Situ Visualization of WRF Data Using Universal Data Junction

Ist Teil von

• High Performance Computing, p.475-483

Ort / Verlag

Cham: Springer International Publishing

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• An in situ co-processing visualization pipeline based on the Universal Data Junction (UDJ) library and Inshimtu is presented and used for processing data from Weather Research and Forecasting (WRF) simulations. For the common case of analyzing just a number of fields during simulation, UDJ transfers and redistributes the data in approximately 6%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$6\%$$\end{document} of the time needed by WRF for a MPI-IO output of all variables upon which a previous method with Inshimtu is based. The relative cost of transport and redistribution compared to IO remains approximately constant up to the highest considered node count without obvious impediments to scale further.