Iterative solver on OpenCL (GPU) devices

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On recent GPU devices the matrix vector multiplication in adda is as fast as 
the preparation of the next argument vector within the iterative solver 
(currently done by the CPU). Therefore the iterative solver should also run on 
GPU to avoid transferring vectors from host to device each iteration and to 
speed-up the computation. Since most of the functions executed by the iterative 
solvers in adda are level1 (vector) basic linear algebra functions, potentially 
the clAmdBlas library can be employed to improve the execution speed also. 
This would mainly improve computation speed on larger grids and high dipole 
counts.

Original issue reported on code.google.com by [email protected] on 31 May 2014 at 3:36