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Tracking mentions began in Dec 2020.
Software component names should be whimsical and cryptic
2 projects | news.ycombinator.com | 13 Sep 2022
If you want to see this line of thinking taken a bit too far, check out the list of Trilinos packages on github: https://github.com/trilinos/Trilinos/tree/master/packages
It definitely makes things much less accessible to a newcomer / outsider.
(Trilinos is a set of scientific / engineering libraries for HPC)
C++ for scientific programming?
6 projects | reddit.com/r/cpp | 27 Jul 2022
It can be the base of whatever *you* write via bindings generators like pybind11. In that sense, the answer to your question is "however you like". For actual simulation code, you'll see a lot more legacy Fortran and C. That said, with things like mdspan maybe being standardized (proposal), efforts towards a standard linear algebra library, and the existence of ubiquitous HPC frameworks already having been written in C++, I would say it's only a matter of time before C++ accounts for an even bigger share of all HPC code.
What are some alternatives?
FFTW - DO NOT CHECK OUT THESE FILES FROM GITHUB UNLESS YOU KNOW WHAT YOU ARE DOING. (See below.)
GSL - GNU Scientific Library with CMake build support and AMPL bindings
Blitz++ - Git mirror of Blitz++ at http://sourceforge.net/projects/blitz/
Kratos - Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Torch - http://torch.ch
Dimwits - A compact C++ header-only library providing compile-time dimensional analysis and unit awareness
suanPan - 🧮 An Open Source, Parallel and Heterogeneous Finite Element Analysis Framework