| license: apache-2.0 | |
| tags: | |
| - cuda | |
| - kernel | |
| - gpu-optimization | |
| - hpc | |
| # ada_gemm | |
| Ada-focused FP32 shared-memory GEMM prototype with standalone correctness and timing harness. | |
| This repository contains the standalone CUDA source for the `ada_gemm` lane from | |
| the PyC kernel lab. It is a source artifact for inspection and benchmarking; | |
| it is not a precompiled binary and the result below is not a universal ranking. | |
| ## Performance | |
| | Kernel | GPU / architecture | Shape | Best recorded result | Evidence | | |
| |---|---|---|---|---| | |
| | `ada_gemm` | not recorded | not recorded | Not measured in the published campaign | No published performance receipt was found for this lane. | | |
|  | |
| The result is reported with the original campaign's timing and correctness | |
| context. Compare kernels only when GPU, CUDA version, matrix shape, warmup, | |
| repeats, and reference/correctness mode match. | |
| ## Source | |
| - `kernel.cu` — copied from `kernels/prototypes/ada/gemm/kernel.cu`. | |
| - Original lane tags: `cuda, matmul, ada, sm89, prototype`. | |
| ## Build/run contract | |
| ```text | |
| {nvcc} -O3 -std=c++17 -lineinfo -gencode arch=compute_89,code=sm_89 -gencode arch=compute_89,code=compute_89 {source} -o {build_dir}/{name} | |
| {build_dir}/{name} 1024 1024 1024 10 50 | |
| ``` | |