Is Your Code GPU-offload Ready?

Developers need to be equipped with the right set of metrics that guides them to make informed design and optimization decisions that take full advantage of both CPUs and GPUs.

This webinar shows how to utilize the intuitive user interface of Intel® Advisor to overcome some of those challenges.
Join us to get a walkthrough of an example to learn how to:

  • Optimize your CPU application for memory and compute
  • Design your code for efficient GPU offload, even before you have the hardware
  • See performance headroom of your GPU offloaded code against hardware limitations and get insights for an effective optimization roadmap

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Cory Levels, Lead Technical Consulting Engineer, Intel Corporation

Cory is currently a software development engineer at Intel Corporation. As a Technical Consulting Engineer for Intel developer tools, she provides customer support with a focus on performance optimization using the analyzer tools. Corey received a Computer Engineering Bachelor’s degree from Southern Illinois University Edwardsville. I also received minors in Mechanical Engineering, Computer science and Mathematics.

Performance varies by use, configuration, and other factors. Learn more at www.Intel.com/PerformanceIndex.