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metadata 
license: apache-2.0
tags:
  - cuda
  - kernel
  - gpu-optimization
  - hpc

ada_tensor_core_fp16

Ada Tensor Core FP16 GEMM prototype with WMMA-backed 32x64x16 correctness and timing harness.

This repository contains the standalone CUDA source for the ada_tensor_core_fp16 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_fp16 not recorded 1024x1024x1024 0.134 ms Measured on not recorded, shape 1024x1024x1024; evidence hopper-tensorcore-bringup-20260421T191817Z.json.

Performance plot

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, fp16.

Build/run contract 

{nvcc} -O3 -std=c++17 -lineinfo -DPYC_ADA_TENSOR_CORE_USE_BF16=0 -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