Project Summary
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.
In a Nutshell, Dohp...
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took an estimated 6 years of effort (COCOMO model)
starting with its first commit in May, 2008
ending with its most recent commit over 9 years ago
Quick Reference
BSD 4-clause (University of California-Specific)
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These details are provided for information only. No information here is legal advice and should not be used as such.
This Project has No vulnerabilities Reported Against it
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30 Day SummaryMay 28 2022 — Jun 27 2022
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