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license: apache-2.0
tags:
- cuda
- kernel
- gpu-optimization
- hpc
---
# ada_tensor_core_bf16
Ada Tensor Core BF16 GEMM prototype with WMMA-backed 32x64x16 correctness and timing harness.
This repository contains the standalone CUDA source for the `ada_tensor_core_bf16` 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_tensor_core_bf16` | 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/tensor_core/kernel.cu`.
- Original lane tags: `cuda, matmul, ada, sm89, prototype, tensor-core, bf16`.
## Build/run contract
```text
{nvcc} -O3 -std=c++17 -lineinfo -DPYC_ADA_TENSOR_CORE_USE_BF16=1 -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
```
|