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GPU Kernel Profiling & Launch-Parameter Optimization Tool

Seed: kernel_sources, test_inputs, profiling_hooks; example: sweep block/grid sizes and memory tiling configs
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Implementation Guide

Implement tooling to sweep kernel launch parameters and memory configurations, collect occupancy, throughput and cache-miss metrics, and recommend optimal parameter sets for target hardware. Automate profiling runs and aggregate results for engineers optimizing GPU workloads or shader pipelines.

💡 Expert Q&A Insights

Q: \

How to choose tuning dimensions?\" \"

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