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Acknowledgments

The development and continued progress of LAVA has been made possible through the generous funding and support of multiple NASA programs and projects across the agency. We are deeply grateful to the following mission directorates and their associated programs and projects. We are also grateful to the predecessor projects and programs whose early investments laid the foundation for the LAVA framework. Their sustained commitment to computational fluid dynamics research made LAVA possible.

NASA Program Support

ARMD
Aeronautics Research Mission Directorate
Transformational Tools & Technologies TTT High Speed Flight Project HSF Subsonic Vehicle Technologies & Tools SVTT Subsonic Flight Demonstrator SFD Low Boom Flight Demonstrator LBFD Aerosciences Evaluation & Test Capabilities AETC
ESDMD
Exploration Systems Development Mission Directorate
Exploration Ground Systems EGS Human Landing Systems HLS Space Launch System SLS
STMD
Space Technology Mission Directorate
Entry Systems Modeling ESM
SOMD
Space Operations Mission Directorate
Launch Services Program LSP

Computational Resources

We gratefully acknowledge the NASA Advanced Supercomputing (NAS) Division at NASA Ames Research Center for providing the world-class computational resources that make large-scale LAVA simulations possible and facilitate our development. Through the High End Computing Capability (HECC) program, NAS provides access to state-of-the-art supercomputing systems, mass storage, high-speed networking, and expert IT support that are essential to the continued development, testing, and application of LAVA.

Collaborators

We gratefully acknowledge NVIDIA for their continued support of the LAVA framework through close collaboration, technical guidance, and support for GPU-accelerated development. Access to modern GPU architectures, development tools, and performance engineering expertise has been instrumental in advancing LAVA’s capabilities on heterogeneous computing platforms and in enabling efficient porting and optimization of key solver components.

We gratefully acknowledge the following individuals for their ongoing contributions to the development and advancement of the LAVA framework:

DA

David Appelhans

NVIDIA Dev Tech

LE

Lucas Erlandson

NVIDIA Dev Tech

KR

Kyle Rollins

NAS IT Support

TS

Tim Sandstrom

NAS Visualization

IW

Ingo Wald

NVIDIA Ray Tracing

We also thank our early alpha testers and initial users, whose feedback and real-world use have been invaluable in helping shape and mature the initial release of LAVA:

MH

Michael Harris

NASA KSC

BH

Brian Heberling

NASA GRC

KP

Kristopher Pierson

NASA GRC

DD

Derek Dalle

NASA ARC

Former LAVA Software Contributors

  • Jordan Angel
  • Christoph Brehm
  • Jonathan Boustani
  • Oliver Browne
  • Aditya Ghate
  • Ryan Hass
  • Gaetan Kenway
  • Cetin Kiris
  • Daniel Maldonado
  • Scott Neuhoff
  • Michael Piotrowski
  • Kumar Saurabh
  • Jacob Wagner
  • Man-Long Wong

We also gratefully acknowledge the many interns, visiting researchers, and other contributors not individually listed here whose work on predecessor versions of LAVA, as well as on components of the current LAVA framework, helped make the public release of LAVA possible.