CalculiX with AOCL solver

hi, recently i’m looking of matrix library solver for AMD cpu since experiences MKL seems not optimized. Several tests from external references (i.e Mathworks) have shown faster using AMD Optimizing CPU Libraries (AOCL) than Intel MKL (Pardiso) about 20% speed up. Hopefully, this solver will be available in the future version of CalculiX, best.

@xyont, are these just optimized blas, lapack, libm, etc, for AMD? Do they have an actual sparse solver like pardiso? Remember that the pardiso solver that ships with MKL is an older version of the solver. The newer version is faster compared to the MKL versions - Panua Technologies

seems it has own sparse solver when looking from documentation and project. The link of Pardiso from Panua is an improvement of original versions, the library is proprietary commercial for both end user and developer, but Intel MKL available free for user. Maybe this is the reason to not become popular as Intel does, even shown and reported faster than MKL. In contrast, AOCL is opensource project by AMD, it has been used by many also, e.g Matlab, Ansys, LS Dyna, MSC Nastran and Comsol,