This is the documentation for the development version of DTK. There may be significant differences from the latest stable release. Please follow this link if you are looking for DTK 3.0
Getting started with DTK¶
DataTransferKit is an open-source software library of parallel solution transfer services for multiphysics simulations. DTK uses a general operator design to provide scalable algorithms for solution transfer between shared volumes and surfaces.
DTK was originally developed at the University of Wisconsin - Madison as part of the Computational Nuclear Engineering Group (CNERG) and is now actively developed at the Oak Ridge National Laboratory as part of the Computational Engineering and Energy Sciences (CEES) group.
DTK is supported and used by the following projects and programs:
DataTransferKit Development Team¶
DTK is developed and maintained by:
DTK has the following packages:
- General utilities for software development including exception handling, and other functional programming tools
- Interfaces with user applications and operators
- Search algorithms leveraged by all operators
- Point cloud based operators (e.g., nearest neighbor, moving least squares, spline interpolation)
- Mesh based operators (e.g., interpolation, L2 projection)
- Mesh and partitioning infrastructure of problems relevant to DTK
- Map operators used by the C interface
Questions, Bug Reporting, and Issue Tracking¶
Questions, bug reporting and issue tracking are provided by GitHub. Please report all bugs by creating a new issue. You can ask questions by creating a new issue with the question tag.
Publications to date related to DataTransferKit:
- S. Slattery, “Mesh-Free Data Transfer Algorithms for Partitioned Multiphysics Problems: Conservation, Accuracy, and Parallelism”, Journal of Computational Physics, vol. 307, pp. 164-188, 2016.
- S. Slattery, S. Hamilton, T. Evans, “A Modified Moving Least Square Algorithm for Solution Transfer on a Spacer Grid Surface”, ANS MC2015 - Joint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA) and the Monte Carlo (MC) Method, Nashville, Tennessee · April 19–23, 2015, on CD-ROM, American Nuclear Society, LaGrange Park, IL (2015).
- R. Schmidt, K. Belcourt, R. Hooper, R. Pawlowski, K. Clarno, S. Simunovic, S. Slattery, J. Turner, S. Palmtag, “An Approach for Coupled-Code Multiphysics Core Simulations from a Common *Input”, Annals of Nuclear Energy, Volume 84, pp. 140-152, 2014.
- S. Slattery, P.P.H. Wilson, R. Pawlowski, “The Data Transfer Kit: A Geometric Rendezvous-Based Tool for Multiphysics Data Transfer”, International Conference on Mathematics and Computational Methods Applied to Nuclear Science & Engineering (M&C 2013), American Nuclear Society, Sun Valley, ID, May 5-9, 2013.