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Guillaume Oger

dblp:22/9593 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0003-1343-2614ORCID · verified

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

Graphics, computer vision, multimedia, augmented reality and games · 1

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 architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
interactive visualization
0.112012
Parallel Computational Steering for HPC Applications Using HDF5 Files in Distributed Shared Memory · IEEE Trans. Vis. Comput. Graph. 2012
Visualization and visual analytics
scientific visualization
0.112012
Parallel Computational Steering for HPC Applications Using HDF5 Files in Distributed Shared Memory · IEEE Trans. Vis. Comput. Graph. 2012
High-performance computing
computational steering
0.112012
Parallel Computational Steering for HPC Applications Using HDF5 Files in Distributed Shared Memory · IEEE Trans. Vis. Comput. Graph. 2012
High-performance computing › scientific visualization
in situ visualization and analysis
0.112012
Parallel Computational Steering for HPC Applications Using HDF5 Files in Distributed Shared Memory · IEEE Trans. Vis. Comput. Graph. 2012
High-performance computing
parallel i/o
0.012012
Parallel Computational Steering for HPC Applications Using HDF5 Files in Distributed Shared Memory · IEEE Trans. Vis. Comput. Graph. 2012

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

distributed shared memory · 0.3MPI · 0.3
YearPublicationVenuePosition
2012 Parallel Computational Steering for HPC Applications Using HDF5 Files in Distributed Shared Memory
abstract
Interfacing a GUI driven visualization/analysis package to an HPC application enables a supercomputer to be used as an interactive instrument. We achieve this by replacing the IO layer in the HDF5 library with a custom driver which transfers data in parallel between simulation and analysis. Our implementation using ParaView as the interface, allows a flexible combination of parallel simulation, concurrent parallel analysis, and GUI client, either on the same or separate machines. Each MPI job may use different core counts or hardware configurations, allowing fine tuning of the amount of resources dedicated to each part of the workload. By making use of a distributed shared memory file, one may read data from the simulation, modify it using ParaView pipelines, write it back, to be reused by the simulation (or vice versa). This allows not only simple parameter changes, but complete remeshing of grids, or operations involving regeneration of field values over the entire domain. To avoid the problem of manually customizing the GUI for each application that is to be steered, we make use of XML templates that describe outputs from the simulation (and inputs back to it) to automatically generate GUI controls for manipulation of the simulation.
John Biddiscombe, Jérome Soumagne, Guillaume Oger, David Guibert, Jean-Guillaume Piccinali
IEEE Trans. Vis. Comput. Graph.3