The VELaSSCo framework: a software platform for end-user analytics and visualization of large simulation datasets

G. Filippone, A. Janda, P. Totoo, John P. Morrissey, K.J. Hanley, S. Papanicolopulos, J.Y. Ooi, A. Coll, M.A. Pasenau de Riera, J. Mora, J. Pérez, B. Lange, B. Raffin, I. Cores, T. Nguyen, A. Dietrich, F. Michel, T. Gierlinger, H. Dahl, O. Barrowclough, I. Martinez Rodriguez, T. Pariente Lobo, M.A. Tinte Garcia, C. Pumar Garcia, J. Haenisch, K. Bengtsson, O. Liestøl
April 2016
Cite PDF Project DOI
Type
Poster
Publication
Presented at: PARTEC 2016: International Congress on Particle Technology
Location
Nurenberg, Germany.

Abstract

VELaSSCo (Visual Analysis for Extremely Large-Scale Scientific Computing) is an EC FP7 project involving a consortium of seven European partners. VELaSSCo aims to provide new visual analysis methods for large-scale simulations serving the petabyte era. The main output of the project is the VELaSSCo platform which has been designed and developed to perform distributed post-processing and visualisation of the results of very large engineering simulations.

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Apache Hadoop DEM Discrete element method HBase Data Analytics discrete-to-continuum visualization
John P. Morrissey
John P. Morrissey
Research Scientist in Granular Mechanics

My research interests include particulate mechanics, the Discrete Element Method (DEM) and other numerical simulation tools. I’m also interested in all things data and how to extract meaningful information from it.

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