Sparse iterative solvers on GPGPUs and applications

Dr Salvatore Filippone
Abstract

We will review the basic building blocks of iterative solvers, i.e. sparse matrix-vector multiplication, in the context of GPU devices such 
as the cards by NVIDIA; we will then discuss some techniques in preconditioning by approximate inverses, and we will conclude with an 
application to an image processing problem from the biomedical field.

  • Computational Mathematics and Applications Seminar