Pipeline GPU Kernel
- `analyze-kernel-bottleneck` — identify whether the kernel is memory-bound and calculate the compute/load ratio that drives variant selection
LLM Evaluation
Evaluated by: xiaomi/mimo-v2-flash:free
Last evaluated: May 17, 2026
Prompt Preview
---
name: pipeline-gpu-kernel
description: >
Apply software pipelining (double-buffering) to a tiled GPU kernel to overlap
global memory loads with Tensor Core computation. Covers prologue/loop/epilogue
restructuring, LDG-register vs cp.async (LDGSTS) variant selection based on
compute/load ratio, shared memory budget verification against architecture-specific
occupancy cliffs, and SASS-level verification of load/compute overlap.
license: MIT
allowed-tools: Read Write Edit Bash Grep Gl...
Full prompt length: 18908 characters