![ALP Module 2](/sites/default/files/styles/965_wide/public/2022-01/AXG-21-09_IntelSoftware_Request-ALCF_Module_2_v0.2.png?itok=JhOsMslp)
In this session, we will present a DPC++ code walk-through of a simple matrix multiplication example, and look at how we can optimize the code for performance using various features of DPC++. We will compare the execution times of various optimizations.
This module is a part of the Aurora Learning Paths Series.
Rakshith Krishnappa is a developer evangelist at Intel, focused on oneAPI, DPC++, and High-Performance Computing. For the last 16 years, he has worked on various Intel products including CPUs, Graphics, GPUs, HPC products, and Software solutions.