6.1. Acknowledgements

6.1.1. Contributors

This book includes contributions from the VTK-m community including the VTK-m development team and the user community. We would like to thank the following people for their significant contributions to this text:

Vicente Bolea, Nickolas Davis, Matthew Letter, and Nick Thompson for their help keeping the user’s guide up to date with the VTK‑m source code.

Sujin Philip, Robert Maynard, James Kress, Abhishek Yenpure, Mark Kim, and Hank Childs for their descriptions of numerous filters.

Allison Vacanti for her documentation of..

David Pugmire for his documentation of..

Abhishek Yenpure and Li-Ta Lo for their documentation of locator structures..

Li-Ta Lo for his documentation of random array handles and particle density filters.

James Kress for his documentation on VTK‑m’s testing classes.

Manish Mathai for his documentation of rendering features..

6.1.2. Funding

This project has been funded in whole or in part with Federal funds from the Department of Energy, including from Oak Ridge National Laboratory, Los Alamos National Laboratory, and Sandia National Laboratories.

This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes.

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary of Honeywell International Inc. for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

This research was supported by the Exascale Computing Project (17-SC-20-SC), a joint project of the U.S. Department of Energy’s Office of Science and National Nuclear Security Administration, responsible for delivering a capable exascale ecosystem, including software, applications, and hardware technology, to support 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, Scientific Discovery through Advanced Computing (SciDAC) program.