Intel® Parallel Computing Center at SCI Institute, University of Utah

已发布:09/17/2014   最后更新时间:01/28/2019

University of Utah

Principal Investigator:

Chris Johnson

Chris Johnson is a Distinguished Professor of Computer Science and founding director of the Scientific Computing and Imaging (SCI) Institute at the University of Utah. He also holds faculty appointments in the Departments of Physics and Bioengineering. His research interests are in the areas of scientific computing and scientific visualization. In 1992, Dr. Johnson founded the SCI research group, now the SCI Institute, which has grown to employ over 200 faculty, staff and students. Professor Johnson is a Fellow of AIMBE (2004), AAAS (2005), SIAM (2009), and IEEE (2014). He has received a number of awards, including a NSF Presidential Faculty Fellow award from President Clinton, the Governor’s Medal for Science, the IEEE Visualization Career Award, the IEEE IPDPS Charles Babbage Award, the IEEE Sidney Fernbach Award, and the Rosenblatt Prize.

Valerio Pascucci

Valerio Pascucci is the John R. Park Inaugural Endowed Chair of Computer Science and founding Director of the Center for Extreme Data Management Analysis and Visualization (CEDMAV) of the University of Utah. Valerio is also a Faculty of the Scientific Computing and Imaging Institute, of the School of Computing, University of Utah, and a Laboratory Fellow, of PNNL. Before joining the University of Utah, Valerio was the Data Analysis Group Leader of the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory, and Adjunct Professor of Computer Science at the University of California Davis. Valerio's research interests include Big Data management and analytics, progressive multi-resolution techniques in scientific visualization, discrete topology, geometric compression, computer graphics, computational geometry, geometric programming, and solid modeling. Valerio is the coauthor of more than one hundred refereed journal and conference papers and has been an Associate Editor of the IEEE Transactions on Visualization and Computer Graphics.


Demonstrate end-to-end high-performance computing (HPC) and Big Data analytics capabilities on Intel® software and hardware resources integrated with current and future plaforms.

  • Applying OSPRay to visualization and HPC production in practice (i.e., Uintah, VisIt)
  • Visualization analysis research: IO, topology, multifield/multidimensional (ViSUS)
  • Staging Intel resources for both the Vis Center and Intel® Parallel Computing Center(s) (Intel® PCC).
  • Preparing for exascale on DOE A21 via early science program
  • Optimizing next-gen Navy weather codes for Knights Landing and beyond
  • Large-scale vis and HPC technology on CPU/Phi hardware (OSPRay)


  1. F. Wang, I. Wald, Q. Wu, W. Usher, C. R. Johnson. CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data. 2019. IEEE TVCG, Proceedings of IEEE VIS18
  2. A. Gyulassy, P.-T. Bremer, V. Pascucci. Shared-Memory Parallel Computation of Morse-Smale Complexes with Improved Accuracy. 2019. IEEE TVCG, Proceedings of IEEE VIS18
  3. D. Hoang, P. Klacansky, H. Bhatia, P.-T. Bremer, P. Lindstrom, V. Pascucci. A Study of the Trade-off between Reduced Precision and Resolution for Scientific Data Analysis and Visualization 2019. IEEE TVCG, Proceedings of IEEE VIS18
  4. T. Athawale and C. R. Johnson. Probabilistic Asymptotic Decider for Topological Ambiguity Resolution in Level-Set Extraction for Uncertain 2D Data, 2019. IEEE TVCG, Proceedings of IEEE VIS18
  5. W. Usher, P. Klacansky, F. Federer, P.-T. Bremer, A. Knoll, J. Yarch, A. Angelucci, Valerio Pascucci. A Virtual Reality Visualization Tool for Neuron Tracing. IEEE TVCG 2018
  6. W. Usher, S. Rizzi, I. Wald, J. Amstutz, J. Insley, V. Vishwanath, N. Ferrier, M. E. Papka, and V. Pascucci. libIS: A Lightweight Library for Flexible In Transit Visualization. 2018. ISAV: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV ‘18)
  7. TAJ, Ouermi, Robert M. Kirby, and Martin Berzins. Performance Optimization Strategies for WRF Physics Schemes Used in Weather Modeling. 2018. International Journal of Networking and Computing
  8. S. Petruzza, S. Treichler, V. Pascucci, P.-T. Bremer. BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization. IPDPS 2018.
  9. Steve Petruzza, Attila Gyulassy, Valerio Pascucci, and Peer-Timo Bremer, A Task-Based Abstraction Layer for User Productivity and Performance Portability in Post-Moore’s Era Supercomputing, 3RD INTERNATIONAL WORKSHOP ON POST-MOORE’S ERA SUPERCOMPUTING (PMES). 2018
  10. W. Usher, J. Amstutz, C. Brownlee, A. Knoll, I. Wald. Progressive CPU Volume Rendering with Sample Accumulation. Eurographics Symp. on Parallel Graphics and Visualization (EGPGV) 2017.
  11. T.A.J. Ouermi, A. Knoll, R. M. Kirby, M. Berzins. OpenMP 4 Fortran Modernization of WSM6 for KNL. In Proceedings of PEARC17, New Orleans, LA, USA, 2017.
  12. J. K. Holmen, A. Humphrey, D. Sunderland, and M. Berzins. Improving Uintah’s Scalability Through the Use of Portable Kokkos-Based Data Parallel Tasks. In Proc. of PEARC17, New Orleans, 2017.
  13. T. A.J. Ouermi, Aaron Knoll, Robert M. Kirby, Martin Berzins. Optimization Strategies for WSM6 on Intel Micro-architectures. CANDAR workshop, Japan November 2017. Best Paper Award.
  14. Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Allessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer. ISAVS: Interactive Scalable Analysis and Visualization System. ACM SIGGRAPH Asia 2017 Symposium on Visualization.
  15. Ingo Wald, Carson Brownlee, Will Usher, Aaron Knoll. CPU Volume Rendering of Adaptive Mesh Refinement Data. ACM SIGGRAPH Asia 2017 Symposium on Visualization.
  16. S. Kumar, D. Hoang, S. Petruzza, J. Edwards, V. Pascucci. Reducing network congestion and synchronization overhead during aggregation of hierarchical data. Proc. of the IEEE International Conference on High Performance Computing, Data, and Analytics HiPC 2017, Jaipur (India).

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