How to answer this Technical interview question about Kernel Debugging for Senior-Level GPU Engineer?

How do you debug and resolve issues in GPU kernels for parallel processing?

GPU Engineer

Technical

Asked at

Intel

Difficulty :

Hard

Explanation

This question evaluates your ability to troubleshoot and debug GPU kernels used in parallel computing frameworks like CUDA or OpenCL. Recruiters are looking for candidates who can identify synchronization issues, optimize thread usage, and ensure correct kernel execution. A strong answer will include debugging tools and examples of resolving complex issues. Avoid failing to address performance and correctness.

Answer Example

I debug GPU kernels by using tools like CUDA-MEMCHECK and Nsight Compute to identify issues like race conditions or memory access violations. For example, I resolved a kernel synchronization issue by restructuring the thread hierarchy and ensuring proper use of shared memory, which improved parallel efficiency by 30%. This systematic approach ensures both performance and correctness in GPU computations.

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