Visualization: Insight on Your Work
Pascal Kleijer ()
Additional contact information
Pascal Kleijer: NEC Corporation, HPC Marketing Promotion Division
A chapter in High Performance Computing on Vector Systems 2006, 2007, pp 69-87 from Springer
Abstract:
Abstract Visualization is an important part of numerous simulation workflows. It helps users intuitively discover artifacts in their data, because it directly makes use of one of human’s fundamental sense: “vision”. Also, it does not require as much effort as raw data analysis. There are several usable workflows depending on current needs, each one using a different visualization approach. With the increasing power of computation machines, now easily reaching the teraflops barrier, the amount of data to handle might be a bottleneck for commodity rendering hardware. Visualization therefore needs specific tools in order to cope with this issue. This paper provides an overview on the different workflows with their strengths and weaknesses as well as their best usage. It will also focus on concrete examples of large-scale visualization and finally present one application suited for a particular workflow.
Keywords: visualization; remote rendering; workflow; real-time; large-scale; simulation; steering; tracking (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-68743-6_5
Ordering information: This item can be ordered from
http://www.springer.com/9783540687436
DOI: 10.1007/978-3-540-68743-6_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().