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@ -51,10 +51,14 @@ pip install git+https://mpxd.net/gogs/jan/opencl_fdfd.git@release
See the documentation for ```opencl_fdfd.cg_solver(...)``` See the documentation for ```opencl_fdfd.cg_solver(...)```
(located in ```main.py```) for details about how to call the solver. (located in ```main.py```) for details about how to call the solver.
The FDFD arguments are identical to those in
```fdfd_tools.solvers.generic(...)```, and a few solver-specific
arguments are available.
An alternate (slower) FDFD solver and a general gpu-based sparse matrix An alternate (slower) FDFD solver and a general gpu-based sparse matrix
solver is available in ```csr.py```. These aren't particularly solver is available in ```csr.py```. These aren't particularly
well-optimized, and something like well-optimized, and something like
[MAGMA](http://icl.cs.utk.edu/magma/index.html) would probably be a [MAGMA](http://icl.cs.utk.edu/magma/index.html) would probably be a
better choice if you absolutely need to solve arbitrary sparse matrices better choice if you absolutely need to solve arbitrary sparse matrices
and can tolerate writing and compiling C/C++ code. and can tolerate writing and compiling C/C++ code. Still, they're
usually quite a bit faster than the scipy.linalg solvers.