Magpie

Performs GPU kernel correctness and performance evaluation and LLM inference benchmarking with Magpie. Analyzes single or multiple kernels (HIP/CUDA/PyTorch), compares kernel implementations, runs vLLM/SGLang benchmarks with profiling and TraceLens, and runs gap analysis on torch traces. Creates kernel config YAMLs, discovers kernels in a project, and queries GPU specs. Use when the user mentions Magpie, kernel analyze or compare, HIP/CUDA kernel evaluation, vLLM/SGLang benchmark, gap analysis, TraceLens, creating kernel configs, or discovering GPU kernels.

Find kernel source code, test files, and test commands for AMD GPU kernels identified in profiler traces. Use when the user wants to locate kernel implementations, find tests for specific kernels, or enrich gap_analysis results with source information. Supports Triton JIT (ROCm), Tensile GEMM (rocBLAS), CK Tile, hipBLASLt, and HIP kernels.