https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-Blas-with-extended-precision/m-p/827342#M5197 In complex(16) compilation, public source code would do as well as could be done by detailed hand coding. Mon, 10 Jan 2011 14:50:16 GMT TimP 2011-01-10T14:50:16Z https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-Blas-with-extended-precision/m-p/827341#M5196 Hi,<BR /><BR />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?<BR /><BR />Thanks,<BR />Martin<BR /> Mon, 10 Jan 2011 14:24:47 GMT https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-Blas-with-extended-precision/m-p/827341#M5196 boeseskimchi 2011-01-10T14:24:47Z https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-Blas-with-extended-precision/m-p/827342#M5197 In complex(16) compilation, public source code would do as well as could be done by detailed hand coding. Mon, 10 Jan 2011 14:50:16 GMT https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-Blas-with-extended-precision/m-p/827342#M5197 TimP 2011-01-10T14:50:16Z https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-Blas-with-extended-precision/m-p/827343#M5198 yes,mkl doesn't support quad precision data types.<DIV></DIV> Mon, 10 Jan 2011 19:11:24 GMT https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-Blas-with-extended-precision/m-p/827343#M5198 Gennady_F_Intel 2011-01-10T19:11:24Z