Parallel analysis tools and new visualization techniques for ultra-large climate data set

Middleton, Don¹  Haley, Mary¹ 

[1]National Center for Atmospheric Research, Boulder, CO (United States)

关键词: Climate Data Sets;   

DOI  :  10.2172/1165225
RP-ID  :  None
PID  :  OSTI ID: 1165225
Others  :  Other: NCAR 2010-204

美国|英语

来源: SciTech Connect

【 摘 要 】

ParVis was a project funded under LAB 10-05: ???Earth System Modeling: Advanced Scientific Visualization of Ultra-Large Climate Data Sets???. Argonne was the lead lab with partners at PNNL, SNL, NCAR and UC-Davis. This report covers progress from January 1st, 2013 through Dec 1st, 2014. Two previous reports covered the period from Summer, 2010, through September 2011 and October 2011 through December 2012, respectively. While the project was originally planned to end on April 30, 2013, personnel and priority changes allowed many of the institutions to continue work through FY14 using existing funds. A primary focus of ParVis was introducing parallelism to climate model analysis to greatly reduce the time-to-visualization for ultra-large climate data sets. Work in the first two years was conducted on two tracks with different time horizons: one track to provide immediate help to climate scientists already struggling to apply their analysis to existing large data sets and another focused on building a new data-parallel library and tool for climate analysis and visualization that will give the field a platform for performing analysis and visualization on ultra-large datasets for the foreseeable future. In the final 2 years of the project, we focused mostly on the new data-parallel library and associated tools for climate analysis and visualization.