Don't just optimize CUDA kernels, focus on end-to-end performance
blelbach · x · 2026-08-30
A developer argues that the industry over-indexes on CUDA kernel optimization at the expense of end-to-end performance.
Real-world CUDA performance bottlenecks typically include:
- Launch latency
- Data transfer latency
- Insufficient parallelism exposure
Optimizing kernels in isolation often misses these actual performance issues.
Related event: Real CUDA Profiling Reveals Fragmented Execution as the True Bottleneck(2 posts)→
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