• Online Registration Here
• Date: 13th October 2021 9am PDF

Heterogeneous computing comes with the challenge of designing code that can work in multi-processor/accelerator environments. Developers need to be equipped with the right set of metrics to make informed design and optimization decisions that take advantage of target hardware.

In Part 1 of this 2-part webinar series, Technical Consulting Engineer Cory Levels focuses on designing software for efficient offload from CPUs to GPUS—even before final hardware is available—using Intel® Advisor. Using a walkthrough of an ISO 3DFD example (3D isotropic Finite Difference), you will learn how to:

• Optimize your CPU application for memory and compute
• Identify efficient GPU offload opportunities and quantify the potential performance speed up
• See performance headroom of your GPU offloaded code against hardware limitations, and get insights for an effective optimization roadmap

For More information, do take a look at the Intel Site Here.