Dohp aims to be a very efficient implementation of the hp-version of the finite element method. It exploits the tensor product structure of nodal bases on hexahedra to significantly reduce the memory requirements and computational cost compared to low-order elements. It uses Q1 elements on the nodes of the high-order basis to assemble a preconditioning matrix which is much sparser than Q2 elements. Preliminary results show that memory and solver runtime for arbitrary order (2-10 or so) is half that required by a standard Q2 approximation.
Dohp development is primarily focused on scalable solution of indefinite problems such as those found in incompressible flow and PDE-constrained optimization.
Commercial Use
Modify
Distribute
Place Warranty
Hold Liable
Use Trademarks
Include Copyright
Include License
These details are provided for information only. No information here is legal advice and should not be used as such.
30 Day SummaryDec 30 2024 — Jan 29 2025
|
12 Month SummaryJan 29 2024 — Jan 29 2025
|