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2017

A Pipeline for Large Data Processing Using Regular Sampling for Unstructured Grids

Berres, Anne; Adhinarayanan, Vignesh; Turton, Terece; Feng, Wu; Rogers, David

A Pipeline for Large Data Processing Using Regular Sampling for Unstructured Grids Inproceedings

2017, (LA-UR-17-23903).

Abstract | Links | BibTeX | Tags: large-scale data, visualization

2016

Towards a Scalable, Platform Independent, User-Friendly Analysis Framework for Scientific and Information Oriented Applications

Ahrens, James Paul

Towards a Scalable, Platform Independent, User-Friendly Analysis Framework for Scientific and Information Oriented Applications Presentation

01.11.2016, (Chesapeake Large-Scale Analytics Conference - CLSAC 2016, LA-UR-16-28491).

Abstract | Links | BibTeX | Tags: large-scale data, ParaView, VTK

2014

ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement

Nouanesengsy, Boonthanome; Woodring, Jonathan; Patchett, John; Myers, Kary; Ahrens, James

ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement Inproceedings

Large Data Analysis and Visualization (LDAV), 2014 IEEE 4th Symposium on, pp. 43–50, IEEE 2014, (LA-UR-pending).

Abstract | Links | BibTeX | Tags: adaptive mesh refinement, ADR, Analysis-Driven Refinement, big data, data triage, focus+context, hardware architecture, large-scale data, parallel processing, picture/image generation, prioritization, scientific data, viewing algorithms

2010

Approaching the Exa-Scale: a Real-World Evaluation of Rendering Extremely Large Data Sets

Patchett, John; Ahrens, James; Lo, Li-Ta; Browniee, Carson; Mitchell, Christopher; Hansen, Chuck

Approaching the Exa-Scale: a Real-World Evaluation of Rendering Extremely Large Data Sets Journal Article

2010.

Abstract | Links | BibTeX | Tags: exascale, large-scale data

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Show all

1. Berres, Anne; Adhinarayanan, Vignesh; Turton, Terece; Feng, Wu; Rogers, David: A Pipeline for Large Data Processing Using Regular Sampling for Unstructured Grids. In: 2017, (LA-UR-17-23903). (Type: Inproceedings | Abstract | Links | BibTeX)
2. Ahrens, James Paul: Towards a Scalable, Platform Independent, User-Friendly Analysis Framework for Scientific and Information Oriented Applications. 01.11.2016, (Chesapeake Large-Scale Analytics Conference - CLSAC 2016, LA-UR-16-28491). (Type: Presentation | Abstract | Links | BibTeX)
3. Nouanesengsy, Boonthanome; Woodring, Jonathan; Patchett, John; Myers, Kary; Ahrens, James: ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement. In: Large Data Analysis and Visualization (LDAV), 2014 IEEE 4th Symposium on, pp. 43–50, IEEE 2014, (LA-UR-pending). (Type: Inproceedings | Abstract | Links | BibTeX)
4. Patchett, John; Ahrens, James; Lo, Li-Ta; Browniee, Carson; Mitchell, Christopher; Hansen, Chuck: Approaching the Exa-Scale: a Real-World Evaluation of Rendering Extremely Large Data Sets. In: 2010. (Type: Journal Article | Abstract | Links | BibTeX)