Dear List,
I have worked hard last month on having something to develop
my research
codes. I learned alot from this. Currently there is code for
the following:
containers: dense_vector and dense_matrix
vector algorithms:
- vector_range
- +, -, scalar*vector, vector*scalar, vector/scalar
- norm_2
- dot
- real, imag
matrix-vector
- matrix * vector
- vector * matrix
- trans
- column, row
- column_range
backends
- glas
- limited BLAS backend
concepts:
- tags and meta functions
- still work to do to make it cleaner and easier to
understand
documentation:
- still under construction for most algorithms, but we are
getting there
slowly.
other stuff:
- vector, and matrix bindings traits specializations
- iterators for using stl algorithms
It is my goal to have consistent documentation and code, and
clean
concepts before further developments are started. I will
give you then
the opportunity to comment. A developers meeting would then
be suitable
to start the remaining work (which is still much).
In the meantime, my colleague Yvette works on rank
structured matrix
algorithms using the current glas implementation. This will
also uncover
difficulties, bugs and missing concepts, algorithms, etc.
From performance point of view no work has been done yet,
but this is
part of Yvette's work too.
You are welcome to download and try the test examples. My
colleague,
Marc, used glas for an eigenvalue code, using the lapack
bindings.
Have a nice day,
Karl
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