Introduction to the Intel MKL Extended Eigensolver

Authored by Zhang, Zhang (Intel) Last updated on 06/07/2017 - 12:18

Fast Gathering-based SpMxV for Linear Feature Extraction

This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
Authored by Feng X. (Intel) Last updated on 06/01/2017 - 11:22

Intel® MKL Sparse Solvers Training Material

This article contains a training materials (in PDF format) on Intel® MKL Sparse Solvers which includes details of PARDISO/DSS, Iterative Solvers features and performance.
Authored by Vipin Kumar E K (Intel) Last updated on 07/21/2017 - 08:34
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