VTK-m Update

DOECGF 2022

August 31, 2022

Kenneth Moreland Oak Ridge National Laboratory

With lots of contributions from the VTK-m community

ORNL is managed by UT-Battelle LLC for the US Department of Energy

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Acknowledgements

• This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation’s exascale computing imperative.
• This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under Award Numbers 10-014707, 12-015215, and 14-017566.
• Thanks to many, many partners in labs, universities, and industry.

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Thanks to All Our Partners!

Code Sprint, April 2017, University of Oregon

Code Sprint, September 2015, LLNL

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Why VTK-m?

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A framework to write-once-run-everywhere

Demonstrated

Target

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Does this strategy work?

Target

Achieved

Moreland, K., Maynard, R., Pugmire, D., Yenpure, A., Vacanti, A., Larsen, M., & Childs, H. (2021). Minimizing Development Costs for Efficient Many-Core Visualization Using MCD³. Parallel Computing, 108(102834). doi:10.1016/j.parco.2021.102834

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What is Going on Now?

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ECP/VTK-m Schedule

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