kebab-benchmark-and-run

name	kebab-benchmark-and-run
description	Run operator benchmarks and single-run executables in Kebab for GEMM and elementwise add. Use when asked to execute performance baselines, compare implementations, or run quick correctness/perf checks through Make targets.

Kebab Benchmark and Run

When to Use This Skill

• User asks to benchmark GEMM or elementwise add
• User asks to run one implementation quickly (cute/cuda/ref)
• User asks to generate benchmark summary CSV/Markdown outputs

Prerequisites

• Build succeeded (make build)
• GPU and CUDA available

Step-by-Step Workflows

Workflow A: Operator Benchmarks

1. Build:
   • make build
2. Run one benchmark:
   • make bench-gemm
   • make bench-elementwise-add
3. Run all benchmarks:
   • make bench-all

Expected outputs:

• CSV files under bench_results/
• Optional summary: bench_results/summary.md

Workflow B: Single-Run Binaries

For GEMM variants:

• make run-gemm-cute
• make run-gemm-cuda
• make run-gemm-ref

Notes

• make test maps to bench-gemm in this repository.
• Elementwise single-run binary naming in CMake differs from run-*-cute template usage; prefer bench-elementwise-add for reliable checks.

Troubleshooting

Issue	Mitigation
Benchmark target not found	Confirm target exists in Makefile help output
Binary missing under build/lib/benchmark	Re-run make build and inspect CMake benchmark targets
Empty summary report	Verify CSV files exist and scripts/generate_report.py is present

References

• Makefile (bench-*, bench-all, run-*, test)
• kebab/lib/benchmark/CMakeLists.txt
• scripts/generate_report.py