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Walk through optimizing a CUDA kernel: warp divergence, memory coalescing, and shared-memory bank conflicts.

At NVIDIA and the labs this compute-intimacy question is real. The signal is owning the SIMT execution model and the three classic throughput killers, with the concrete fix for each. Here is the low-level answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

At NVIDIA and the labs this compute-intimacy question is real. The signal is owning the SIMT execution model and the three classic throughput killers, with the concrete fix for each. Here is the low-level answer.

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