DocumentCode
2516552
Title
Efficient Coupling of Parallel Visualization and Simulations on Tens of Thousands of Cores
Author
Xiao, Li ; Cao, Xiaolin ; Cao, Yi ; Ai, Zhiwei ; Xu, Pingjun
Author_Institution
High Performance Comput. Center, Inst. of Appl. Phys. & Comput. Math., Beijing, China
fYear
2011
fDate
4-5 Nov. 2011
Firstpage
123
Lastpage
129
Abstract
The scale of some datasets generated by simulations on tens of thousands of cores are gigabyte or larger per output step. It is imperative that efficient coupling of these simulations and parallel visualization. Therefore, a patch-based parallel I/O strategy has been designed and implemented in JASMIN. These programs reconstructed or developed on JASMIN can write plotting data in many files. These datasets in files can be read directly by Visit software with low I/O overheads. Finally, four large-scale datasets generated have been visualized efficiently on 72 cores by using Visit software. These make it possible to analyze and understand these datasets in a timely fashion.
Keywords
data visualisation; digital simulation; input-output programs; multiprocessing systems; parallel processing; JASMIN; gigabyte cores; parallel I/O strategy; parallel simulation; parallel visualization; Algorithm design and analysis; Data models; Data visualization; File systems; Organizations; Simulation; large-scale simulation; parallel visualization; patch-based parallel I/O strategy;
fLanguage
English
Publisher
ieee
Conference_Titel
Virtual Reality and Visualization (ICVRV), 2011 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4577-2156-4
Type
conf
DOI
10.1109/ICVRV.2011.59
Filename
6092702
Link To Document