EU

Meet the Team

Berk Geveci, Ph.D.

Senior Director of Scientific Computing

Board of Directors
Company Leadership
Scientific Computing

Kitware New York
Clifton Park, NY

20 Years Service at Kitware

Ph.D. in Mechanical Engineering
Lehigh University

M.S. in Mechanical Engineering
Lehigh University

B.S. in Mechanical Engineering
Bogazici University

Berk Geveci

Dr. Geveci leads the scientific visualization and infomatics teams at Kitware Inc. He is one of the leading developers of the ParaView visualization application and the Visualization Toolkit (VTK). His research interests include large scale parallel computing, computational dynamics, finite elements and visualization algorithms. Dr. Geveci regularly publishes and teaches courses at conferences including IEEE Visualization and Supercomputing conferences.

Dr. Geveci received his B.S. in Mechanical Engineering from Bogazici University in 1994, his M.S. and Ph.D. in Mechanical Engineering from Lehigh University in 1996 and 1999, respectively. While at Lehigh University he conducted research on subsonic and supersonic flow induced nonlinear vibrations, developing a new procedure for the solution of coupled flow and structural equations. In addition, he authored software for the study of separation in unsteady boundary layer flows and the visualization of the numerical and experimental results. After graduating from Lehigh University, Dr. Geveci completed a post-doctoral fellowship at the University of Pennsylvania during which he worked in the area of optimal control investigating applications in the control of hydrothermal instabilities.

Publications

  1. J. Schwartz, C. Harris, J. Pietryga, H. Zheng, P. Kumar, A. Visheratina, N. Kotov, B. Major, P. Avery, P. Ercius, U. Ayachit, B. Geveci, D. Muller, A. Genova, Y. Jiang, M. Hanwell, and R. Hovden, "Real-time 3D analysis during electron tomography using tomviz," Nature Communications, vol. 13, no. 1, pp. 4458, Aug. 2022. [URL]
  2. U. Ayachit, A. Bauer, B. Boeckel, B. Geveci, K. Moreland, P. O’Leary, and T. Osika, "Catalyst Revised: Rethinking the ParaView in Situ Analysis and Visualization API," in High Performance Computing. Springer International Publishing, 2021, pp. 484-494. [URL]
  3. K. Tsai, R. Bujack, B. Geveci, U. Ayachit, and J. Ahrens, "Approaches for In Situ Computation of Moments in a Data-Parallel Environment," Eurographics Symposium on Parallel Graphics and Visualization, pp. 12 pages, 2020. [URL]
  4. M. Kim, J. Kress, J. Choi, N. Podhorszki, S. Klasky, M. Wolf, K. Mehta, K. Huck, B. Geveci, S. Phillip, R. Maynard, H. Guo, T. Peterka, K. Moreland, C. Chang, J. Dominski, M. Churchill, and D. Pugmire, "In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned," in High Performance Computing. Springer International Publishing, 2018, pp. 230-242. [URL]
  5. D. Thompson, S. Jourdain, A. Bauer, B. Geveci, R. Maynard, R. Vatsavai, and P. O'Leary, "In Situ Summarization with VTK-m," in Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2017. [URL]
  6. M. Larsen, J. Ahrens, U. Ayachit, E. Brugger, H. Childs, B. Geveci, and C. Harrison, "The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman," in Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2017. [URL]
  7. U. Ayachit, B. Whitlock, M. Wolf, B. Loring, B. Geveci, A. Vacanti, and E. Bethel, "The SENSEI Generic In Situ Interface," in Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2016. [URL]
  8. K. Moreland, C. Sewell, W. Usher, L. Lo, J. Meredith, D. Pugmire, J. Kress, H. Schroots, K. Ma, H. Childs, M. Larsen, C. Chen, R. Maynard, and B. Geveci, "VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures," IEEE Computer Graphics and Applications, vol. 36, no. 3, pp. 48-58, May 2016. [URL]
  9. A. Bauer, H. Abbasi, J. Ahrens, H. Childs, B. Geveci, S. Klasky, K. Moreland, P. O'Leary, V. Vishwanath, B. Whitlock, and E. Bethel, "In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms," Computer Graphics Forum, vol. 35, no. 3, pp. 577-597, Jun. 2016. [URL]
  10. W. Schroeder, R. Maynard, and B. Geveci, "Flying edges: A high-performance scalable isocontouring algorithm," in Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2015. [URL]
  11. S. Sua, A. Chaudhary, P. O’Leary, B. Geveci, W. Sherman, H. Nieto, and L. Francisco-Revilla, "Virtual reality enabled scientific visualization workflow," in IEEE Workshop on Everyday Virtual Reality, 2015. [URL]
  12. A. Bauer, B. Geveci, and W. Schroeder, "The Catalyst User's Guide v2.0," Kitware, Inc., Feb. 2015.
  13. U. Ayachit, A. Bauer, B. Geveci, P. O'Leary, K. Moreland, N. Fabian, and J. Mauldin, "ParaView Catalyst: Enabling In Situ Data Analysis and Visualization," in Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015. [URL]
  14. H. Karimabadi, V. Roytershteyn, H. Vu, Y. Omelchenko, J. Scudder, W. Daughton, A. Dimmock, K. Nykyri, M. Wan, D. Sibeck, M. Tatineni, A. Majumdar, B. Loring, and B. Geveci, "The link between shocks, turbulence, and magnetic reconnection in collisionless plasmas," Physics of Plasmas, vol. 21, no. 6, pp. 062308, Jun. 2014. [URL]
  15. M. Hanwell, A. Chaudhary, J. Baumes, and B. Geveci, "VTK's second Google Summer of Code," Kitware Source, no. 31, 2014.
  16. U. Ayachit and B. Geveci, "Scientific data analysis and visualization at scale in VTK/ParaView with NumPy," in Workshop on Python for High-Performance and Scientific Computing, 2014.
  17. D. Williams, T. Bremer, C. Doutriaux, J. Patchett, S. Williams, G. Shipman, R. Miller, D. Pugmire, B. Smith, C. Steed, E. Bethel, H. Childs, H. Krishnan, P. Prabhat, M. Wehner, C. Silva, E. Santos, D. Koop, T. Ellqvist, J. Poco, B. Geveci, A. Chaudhary, A. Bauer, A. Pletzer, D. Kindig, G. Potter, and T. Maxwell, "Ultrascale visualization of climate data," Computer, vol. 46, no. 9, pp. 68-76, Sep. 2013. [URL]
  18. H. Childs, B. Geveci, W. Schroeder, J. Meredith, K. Moreland, C. Sewell, T. Kuhlen, and E. Bethel, "Research Challenges for Visualization Software," Computer, vol. 46, no. 5, pp. 34-42, May 2013. [URL]
  19. R. Maynard, K. Moreland, U. Atyachit, B. Geveci, and K. Ma, "Optimizing threshold for extreme scale analysis," in IS&T/SPIE Electronic Imaging, 2013. [URL]
  20. H. Karimabadi, B. Loring, P. O'Leary, A. Majumdar, M. Tatineni, and B. Geveci, "In-situ visualization for global hybrid simulations," in Proceedings of the Conference on Extreme Science and Engineering Discovery Environment Gateway to Discovery, 2013. [URL]
  21. K. Moreland, B. Geveci, K. Ma, and R. Maynard, "A classification of scientific visualization algorithms for massive threading," in Proceedings of the International Workshop on Ultrascale Visualization, 2013. [URL]
  22. B. Nouanesengsy, J. Patchett, J. Ahrens, A. Bauer, A. Chaudhary, R. Miller, B. Geveci, G. Shipman, and D. Williams, "A model for optimizing file access patterns using spatio-temporal parallelism," in Proceedings of the International Workshop on Ultrascale Visualization, 2013. [URL]
  23. J. Woodring, J. Ahrens, T. Tautges, T. Peterka, V. Vishwanath, and B. Geveci, "On-demand unstructured mesh translation for reducing memory pressure during in situ analysis," in Proceedings of the International Workshop on Ultrascale Visualization, 2013. [URL]
  24. C. Sewell, J. Meredith, K. Moreland, T. Peterka, D. DeMarle, L. Lo, J. Ahrens, R. Maynard, and B. Geveci, "The SDAV Software Frameworks for Visualization and Analysis on Next-Generation Multi-Core and Many-Core Architectures," in SC Companion: High Performance Computing, Networking Storage and Analysis, 2012. [URL]
  25. D. DeMarle, B. Geveci, J. Woodring, and J. Ahrens, "Streaming and out-of-core methods," in High Performance Visualization: Enabling Extreme-Scale Scientific Insight. CRC Press, 2012, pp. 199-218.
  26. K. Moreland, J. Meredith, and B. Geveci, "Enabling production-quality scientific-discovery tools with data and execution models," Sandia National Laboratories, SAND 2012-10796P, 2012.
  27. B. Geveci and W. Schroeder, "VTK," in The Architecture of Open Source Applications. lulu.com, 2012, pp. online. [URL]
  28. K. Moreland, N. Fabian, B. Geveci, U. Ayachit, and J. Ahrens, "Next-generation capabilities for large-scale scientific visualization," in SIAM Conference on Parallel Processing for Scientific Computing, 2012.
  29. H. Vo, J. Comba, B. Geveci, and C. Silva, "Streaming-Enabled Parallel Data Flow Framework in the Visualization ToolKit," Computing in Science & Engineering, vol. 13, no. 5, pp. 72-83, Sep. 2011. [URL]
  30. K. Moreland, U. Ayachit, B. Geveci, and K. Ma, "Dax Toolkit: A proposed framework for data analysis and visualization at Extreme Scale," in Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011. [URL]
  31. N. Fabian, K. Moreland, D. Thompson, A. Bauer, P. Marion, B. Geveci, M. Rasquin, and K. Jansen, "The ParaView Coprocessing Library: A scalable, general purpose in situ visualization library," in Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011. [URL]
  32. H. Karimabadi, B. Loring, H. Vu, Y. Omelchenko, M. Tatineni, A. Mujumdar, U. Ayachit, and B. Geveci, "Petascale Global Kinetic Simulations of The Magnetosphere and Visualization Strategies for Analysis of Very Large Multi-Variate Data Sets," in Proceedings of the International Conference of Numerical Modeling of Space Plasma Flows, 2011.
  33. K. Moreland, N. Fabian, S. Klasky, and B. Geveci, "Flexible in situ with ParaView," in Workshop on Ultrascale Visualization, 2011.
  34. J. Ahrens, K. Heitmann, M. Petersen, J. Woodring, S. Williams, P. Fasel, C. Ahrens, C. Hsu, and B. Geveci, "Verifying Scientific Simulations via Comparative and Quantitative Visualization," IEEE Computer Graphics and Applications, vol. 30, no. 6, pp. 16-28, Nov. 2010. [URL]
  35. S. Jourdain, U. Ayachit, and B. Geveci, "ParaViewWeb, a web framework for 3D visualization and data processing," in IADIS International Conference on Visual Communication, 2010.
  36. K. Moreland, D. Rogers, J. Greenfield, B. Geveci, P. Marion, A. Neundorf, and K. Eschenberg, "Large Scale Visualization on the Cray XT3 Using ParaView," in Cray User Group, 2008.
  37. P. Crossno, B. Wylie, A. Wilson, J. Greenfield, E. Stanton, T. Shead, L. Ice, K. Moreland, J. Baumes, and B. Geveci, "Intelligence Analysis Using Titan," in Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, 2007. [URL]
  38. J. Biddiscombe, B. Geveci, K. Martin, K. Moreland, and D. Thompson, "Time Dependent Processing in a Parallel Pipeline Architecture," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1376-1383, Nov. 2007. [URL]
  39. J. Biddiscombe, B. Geveci, and K. Martin, "A Pipeline Architecture for Parallel Processing of Time-Dependent Data within a VTK Framework," in Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization, 2007.
  40. A. Cedilnik, B. Geveci, K. Moreland, J. Ahrens, and J. Favre, "Remote Large Data Visualization in the ParaView Framework," in Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization, 2006. [URL]
  41. J. Ahrens, B. Geveci, and C. Law, "ParaView: An End-User Tool for Large-Data Visualization," in The Visualization Handbook. Academic Press, 2005, pp. 717-731.
  42. W. Schroeder, B. Geveci, and M. Malaterre, "Compatible triangulations of spatial decompositions," in IEEE Visualization, 2004. [URL]
  43. K. Martin, W. Hoffman, and B. Geveci, "Creating Libraries for Multiple Programming Languages," Dr. Dobb's Journal, 2002.
  44. B. Geveci and J. Walker, "Nonlinear resonance of rectangular plates," Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 457, no. 2009, pp. 1215-1240, May 2001. [URL]
  45. J. Ahrens, K. Brislawn, K. Martin, B. Geveci, C. Law, and M. Papka, "Large-scale data visualization using parallel data streaming," IEEE Computer Graphics and Applications, vol. 21, no. 4, pp. 34-41, 2001. [URL]
  46. B. Geveci and J. Walker, "Limit cycle oscillations in supersonic flow," in Meeting of the Division of Fluid Dynamics, 1999.

Bibliography generated 2023-11-30-04:04:28 (6722)

Recent Posts by Berk Geveci

See More
VTK and NumPy – a new take
December 17, 2024  •   By Berk Geveci
Catalyst is being used to improve the underlying turbulence models with AI/ML. This visualization shows two data extracts, wall distance, and Q-criterion contours colored by velocity magnitude were captured from the PHASTA CFD simulation code running on 256k MPI processes using Catalyst.
Unlocking AI’s Potential in Computational Science…
November 4, 2024  •   By Corey…
VTK 9.4: A Step Closer to the Ways of Python
October 29, 2024  •   By Jaswant Panchumarti,…