| Extreme scaling of production visualization software on diverse architectures. | |
| | |
MedLine Citation:
|
PMID: 20650715 Owner: NLM Status: PubMed-not-MEDLINE |
Abstract/OtherAbstract:
|
This article presents the results of experiments studying how the pure-parallelism paradigm scales to massive data sets, including 16,000 or more cores on trillion-cell meshes, the largest data sets published to date in the visualization literature. The findings on scaling characteristics and bottlenecks contribute to understanding how pure parallelism will perform in the future. |
| | |
Authors:
|
Hank Childs; David Pugmire; Sean Ahern; Brad Whitlock; Mark Howison; Gunther H Weber; E Wes Bethel |
Related Documents
:
|
9879215 - The effects of projection geometry and trabecular texture on estimated fractal dimensio... 16367305 - A note on the pmt as an objective test of achievement motivation. 9661735 - Controlling the judge variable in grading essay-type items: an application of rasch ana... 10745185 - The construct validity of the readiness to change questionnaire for persons with tbi. 18459585 - A modern reproducible method for the histologic grading of astrocytomas with statistica... 22615375 - Iterated prisoner's dilemma contains strategies that dominate any evolutionary opponent. |
Publication Detail:
|
Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
|
Title: IEEE computer graphics and applications Volume: 30 ISSN: 1558-1756 ISO Abbreviation: IEEE Comput Graph Appl Publication Date: 2010 May-Jun |
Date Detail:
|
Created Date: 2010-07-23 Completed Date: 2010-10-21 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 9881869 Medline TA: IEEE Comput Graph Appl Country: United States |
Other Details:
|
Languages: eng Pagination: 22-31 Citation Subset: - |
Affiliation:
|
Lawrence Berkeley National Laboratory, and University of California at Davis, CA, USA. hchilds@lbl.gov |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Using mid-range laser scanners to digitize cultural-heritage sites.
Next Document: Parallel and streaming generation of ghost data for structured grids.