ParaView

ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView’s batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data. (Source: http://www.psc.edu/)


References in zbMATH (referenced in 36 articles )

Showing results 1 to 20 of 36.
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  1. Bennett, Janine C.; Bhagatwala, Ankit; Chen, Jacqueline H.; Pinar, Ali; Salloum, Maher; Seshadhri, C.: Trigger detection for adaptive scientific workflows using percentile sampling (2016)
  2. Berger-Vergiat, Luc; McAuliffe, Colin; Waisman, Haim: Parallel preconditioners for monolithic solution of shear bands (2016)
  3. Bilous, M.V.: Nadra-3D add-on for Blender software (2016)
  4. Harrison, Robert J.; Beylkin, Gregory; Bischoff, Florian A.; Calvin, Justus A.; Fann, George I.; Fosso-Tande, Jacob; Galindo, Diego; Hammond, Jeff R.; Hartman-Baker, Rebecca; Hill, Judith C.; Jia, Jun; Kottmann, Jakob S.; Yvonne Ou, M.-J.; Pei, Junchen; Ratcliff, Laura E.; Reuter, Matthew G.; Richie-Halford, Adam C.; Romero, Nichols A.; Sekino, Hideo; Shelton, William A.; Sundahl, Bryan E.; Thornton, W.Scott; Valeev, Edward F.; Vázquez-Mayagoitia, Álvaro; Vence, Nicholas; Yanai, Takeshi; Yokoi, Yukina: MADNESS: a multiresolution, adaptive numerical environment for scientific simulation (2016)
  5. Nguyen, Vinh Phu; Nguyen, Chi Thanh; Bordas, Stéphane; Heidarpour, Amin: Modelling interfacial cracking with non-matching cohesive interface elements (2016)
  6. Pérez Zerpa, Jorge M.; Canelas, Alfredo: Efficient formulations of the material identification problem using full-field measurements (2016)
  7. Peterka, Tom; Croubois, Hadrien; Li, Nan; Rangel, Esteban; Cappello, Franck: Self-adaptive density estimation of particle data (2016)
  8. Richardson, Casey L.; Younes, Laurent: Metamorphosis of images in reproducing kernel Hilbert spaces (2016)
  9. Sousbie, Thierry; Colombi, Stéphane: ColDICE: A parallel Vlasov-Poisson solver using moving adaptive simplicial tessellation (2016)
  10. Jiang, Yi; Xie, Yang; Ying, Jinyong; Xie, Dexuan; Yu, Zeyun: SDPBS web server for calculation of electrostatics of ionic solvated biomolecules (2015)
  11. Pauletti, M.Sebastian; Martinelli, Massimiliano; Cavallini, Nicola; Antolin, Pablo: Igatools: an isogeometric analysis library (2015)
  12. Ribés, Alejandro; Lorendeau, Benjamin; Jomier, Julien; Fournier, Yvan: In-situ visualization in computational fluid dynamics using open-source tools: Integration of Catalyst into \itCode_Saturne (2015)
  13. Wong, Kwai; D’Azevedo, Eduardo; Hu, Zhiang; Kail, Andrew; Su, Shiquan: Solving a large-scale thermal radiation problem using an interoperable executive library framework on petascale supercomputers (2015)
  14. Ameli, Siavash; Desai, Yogin; Shadden, Shawn C.: Development of an efficient and flexible pipeline for Lagrangian coherent structure computation (2014)
  15. Berger-Vergiat, Luc; McAuliffe, Colin; Waisman, Haim: Isogeometric analysis of shear bands (2014)
  16. Chen, Goong; Xiong, Qingang; Morris, Philip J.; Paterson, Eric G.; Sergeev, Alexey; Wang, Yi-Ching: OpenFOAM for computational fluid dynamics (2014)
  17. Elguedj, T.; Hughes, T.J.R.: Isogeometric analysis of nearly incompressible large strain plasticity (2014)
  18. Hyman, Jeffrey D.; Winter, C.Larrabee: Stochastic generation of explicit pore structures by thresholding Gaussian random fields (2014)
  19. Mcauliffe, Colin; Waisman, Haim: A Pian-Sumihara type element for modeling shear bands at finite deformation (2014)
  20. Nguyen, Vinh Phu; Kerfriden, Pierre; Brino, Marco; Bordas, Stéphane P.A.; Bonisoli, Elvio: Nitsche’s method for two and three dimensional NURBS patch coupling (2014)

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