Offload Your Code from CPU to GPU … and Optimize It

Locating and removing bottlenecks is an inherent challenge for every application developer. And it’s made more complex when porting an app to a new platform … say, from a CPU to a GPU. Developers who do that not only must identify bottlenecks, they must figure out which parts of the code will benefit from offloading in the first place.

In this webinar, software optimization expert Kevin O’Leary discusses how the Intel® oneAPI beta version of Intel® Advisor helps developers remove these new CPU-to-GPU porting obstacles.

He’ll cover:

  • Offload Advisor—a command-line feature of the beta product that projects performance speedup on accelerators and estimates offload overhead
  • GPU Roofline Analysis—a technical preview that identifies bottlenecks in GPU-ported code and shows how close its performance is to system maximums
  • A Demo—get a walkthrough of a matrix multiplication example to learn how the above features can help you optimize application efficiency for GPUs

Technical Level: Intermediate

Get started with oneAPI

  • Download Intel® Advisor (beta) as part of the Intel® oneAPI Base Toolkit—an essential set of 15 software development tools and libraries optimized for diverse workloads and architectures.
  • Develop in the Cloud—Sign up for an Intel® DevCloud account, a free development sandbox with access to the latest Intel® hardware and oneAPI software.

More Intel® Advisor (beta) resources

Kevin O'Leary, Lead Technical Consulting Engineer, Intel Corporation

Kevin O’Leary is a Senior Software Developer and Lead Technical Consulting Engineer whose expertise includes compilers, debuggers, and software performance tools. He’s currently responsible for performance optimization using Intel® Advisor and Intel® VTune™ Profiler and was a key developer of the Intel® Parallel Studio XE development suite. Prior to joining Intel, Kevin spent many years as a debugger engineer for IBM/Rational Software.

Kevin holds a Bachelor’s in Computer Science from University of Massachusetts and a Master’s in Computer Science from Oregon Health and Science University.

For more complete information about compiler optimizations, see our Optimization Notice.