Debugging Just-in-Time and Ahead-of-Time Compiled GPU Code | Part 2 | Intel Software

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Compilation Options and Debugging: Just-in-Time and Ahead-of-Time GPU Code with Intel Distribution for GDB*. This is the second video covering Ahead-Of-Time (AOT) and Just -In-Time (JIT) GPU offload code debug.

This quick guide and hands-on walk-through discusses build option considerations when debugging JIT and AOT compiled GPU Offload code:

Offload Compiler Options for Target Code
Passing Additional Options
Optimized Code for Host or target Applications.

Get Started Guides: Linux*: https://intel.ly/3WvtJox

Get Started Guides: Windows*: https://intel.ly/3JVirSX

Tutorials: Debug with GDB | Debug on Linux*: https://intel.ly/3QzsZek

Tutorials: Debug with GDB | Debug on Windows*: https://intel.ly/3wvDpEN

oneAPI Programming Guide: Debugging: https://intel.ly/44DnroY

In this video we discuss how to debug applications using SYCL--based GPU Offload when Just-In-Time or Ahead-of-Time compilation modes are used. We go into detail on different compilation build options and how they impact and interact with debugging applications that use JIT and/or AOT compilation modes combined with GPU offload. We walk through an example application and cover the debug flow in detail, enabling the developer to directly apply learnings to real-world debug scenarios.
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Debugging Just-in-Time and Ahead-of-Time Compiled GPU Code | Part 2 | Intel Software



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