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Beginner
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Sparse Blas with extended precision

Hi,

as I'm trying to calculate eigenvalues with ARPACK of a very big matrix, I am in the need of efficient sparse matrix-vector multiplication routines. Unfortunately, at the same time I need more precision than just double precision. Now my question: Is there any support of the MKL sparse Blas matrix-vector multiplication routines (in particular mkl_*bsrgemv) for complex(16) matrices and vectors or some kind of workaround for mkl_zbsrgemv to gain more precision?

Thanks,
Martin
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Black Belt
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In complex(16) compilation, public source code would do as well as could be done by detailed hand coding.
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Moderator
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yes,mkl doesn't support quad precision data types.
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