Christie Alappat on Enhancing SpMV performance with RACE

Researcher Christie Alappat in front of a screen showing his research topic.

FAU’s Christie Alappat, researcher at NHR@FAU, was recently given the big honor to be invited as a speaker by SIAM (Society for Industrial and Applied Mathematics) as part of the web seminar series “Supercomputing Spotlights.”

In SIAMs new Video, our PhD student Christie talks about accelerating sparse iterative solvers and preconditioners using RACE. He explains the sparse matrix-vector multiplication (SpMV) kernel and then describes methods to accelerate their performance by using tools from the RACE library framework.

Supercomputing Spotlights is a dynamic web seminar series and outreach initiative of SIAM Activity Group with highly acclaimed scientists talking about various topics in the field of supercomputing. The series targets an international audience, students and beginners in HPC in particular. If you are curious, watch this full episode of the Spotlights with Christie Alappat here at SIAM Youtube Channel: