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Andre Schmeißer

dblp:173/8241 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0002-4400-9635ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
scientific visualization
0.212016
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model · IEEE Trans. Vis. Comput. Graph. 2016
High-performance computing › scientific visualization
in situ visualization and analysis
0.212016
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model · IEEE Trans. Vis. Comput. Graph. 2016

Methods — techniques the papers use, named apart from their topics

parallel processing · 0.8in situ workflow · 0.8
YearPublicationVenuePosition
2016 In Situ Eddy Analysis in a High-Resolution Ocean Climate Model
abstract
An eddy is a feature associated with a rotating body of fluid, surrounded by a ring of shearing fluid. In the ocean, eddies are 10 to 150 km in diameter, are spawned by boundary currents and baroclinic instabilities, may live for hundreds of days, and travel for hundreds of kilometers. Eddies are important in climate studies because they transport heat, salt, and nutrients through the world's oceans and are vessels of biological productivity. The study of eddies in global ocean-climate models requires large-scale, high-resolution simulations. This poses a problem for feasible (timely) eddy analysis, as ocean simulations generate massive amounts of data, causing a bottleneck for traditional analysis workflows. To enable eddy studies, we have developed an in situ workflow for the quantitative and qualitative analysis of MPAS-Ocean, a high-resolution ocean climate model, in collaboration with the ocean model research and development process. Planned eddy analysis at high spatial and temporal resolutions will not be possible with a postprocessing workflow due to various constraints, such as storage size and I/O time, but the in situ workflow enables it and scales well to ten-thousand processing elements.
Jonathan Woodring, Mark R. Petersen, Andre Schmeißer, John Patchett, James P. Ahrens, Hans Hagen
IEEE Trans. Vis. Comput. Graph.3
2015 Smooth convolution-based distance functions
Andre Schmeißer, Raimund Wegener, Dietmar Hietel, Hans Hagen
Graph. Model.1