Debugging a complex issue in the NVIDIA CUDA driver:

A complex issue in the NVIDIA CUDA driver can be a challenging problem to debug. The process I usually take to debug such issues is:

1. Reproducing the issue.
2. Collecting all the relevant information such as logs, error messages, and system configuration details.
3. Breaking down the problem into smaller parts and isolating the root cause.
4. Proposing a fix for the issue and testing it thoroughly.

Example:

One particularly challenging issue I faced was related to a memory leak in the CUDA driver. The issue caused the system to become unstable after a prolonged period of application usage. After gathering relevant information such as system configuration and logs, I isolated the issue to a specific function call in the driver.

I then proceeded to analyze the function call in detail and identified a bug in the code that caused the memory leak. I proposed a fix for the issue that involved modifying the code to free up memory after its usage. I tested the fix extensively to ensure there were no other issues and submitted it for review and verification.

The fix was eventually accepted and merged into the mainline code for the next release of the CUDA driver.

Relevant citations:

• CUDA Toolkit
• CUDA Documentation
• NVIDIA Developer Blog: CUDA