manifests/registry_kernels.json

{
  "schema_version": 1,
  "kernels": [
    {
      "name": "matrix_mult",
      "source": "kernels/prototypes/baseline/matmul/kernel.cu",
      "description": "CUDA matrix multiplication kernel (compile-only baseline).",
      "tags": ["cuda", "matmul"],
      "compile_cmd": "{nvcc} -O3 -c {source} -o {build_dir}/{name}.o",
      "run_cmd": ""
    },
    {
      "name": "tokenizer_kernel",
      "source": "kernels/prototypes/experimental/tokenizer_matmul/kernel.cu",
      "description": "Experimental tokenizer/matrix CUDA kernel file.",
      "tags": ["cuda", "tokenizer", "experimental"],
      "compile_cmd": "{nvcc} -O2 -c {source} -o {build_dir}/{name}.o",
      "run_cmd": ""
    },
    {
      "name": "ada_gemm",
      "source": "kernels/prototypes/ada/gemm/kernel.cu",
      "description": "Ada-focused FP32 shared-memory GEMM prototype with standalone correctness and timing harness.",
      "tags": ["cuda", "matmul", "ada", "sm89", "prototype"],
      "compile_cmd": "{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}",
      "run_cmd": "{build_dir}/{name} 1024 1024 1024 10 50"
    },
    {
      "name": "ada_gemm_k64_warp32_async",
      "source": "kernels/prototypes/ada/gemm_k64_warp32_async/kernel.cu",
      "description": "Ada FP32 GEMM winner with 64x64x64 tiles, 32x8 threads, and cp.async double-buffered shared-memory stages.",
      "tags": ["cuda", "matmul", "ada", "sm89", "prototype", "fp32", "vectorized", "winner", "k64", "warp32", "async", "cpasync"],
      "compile_cmd": "{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}",
      "run_cmd": "{build_dir}/{name} 1024 1024 1024 10 50"
    },
    {
      "name": "ada_tensor_core_fp16",
      "source": "kernels/prototypes/ada/tensor_core/kernel.cu",
      "description": "Ada Tensor Core FP16 GEMM prototype.",
      "tags": ["cuda", "matmul", "ada", "sm89", "prototype", "tensor-core", "fp16"],
      "compile_cmd": "{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}",
      "run_cmd": "{build_dir}/{name} 1024 1024 1024 10 50"
    },
    {
      "name": "ada_tensor_core_bf16",
      "source": "kernels/prototypes/ada/tensor_core/kernel.cu",
      "description": "Ada Tensor Core BF16 GEMM prototype.",
      "tags": ["cuda", "matmul", "ada", "sm89", "prototype", "tensor-core", "bf16"],
      "compile_cmd": "{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}",
      "run_cmd": "{build_dir}/{name} 1024 1024 1024 10 50"
    },
    {
      "name": "hopper_tensor_core_fp16",
      "source": "kernels/prototypes/hopper/tensor_core/kernel.cu",
      "description": "Hopper Tensor Core FP16 GEMM prototype.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "fp16"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=0 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 1024 1024 1024 5 20"
    },
    {
      "name": "hopper_tensor_core_bf16",
      "source": "kernels/prototypes/hopper/tensor_core/kernel.cu",
      "description": "Hopper Tensor Core BF16 GEMM prototype.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 1024 1024 1024 5 20"
    },
    {
      "name": "hopper_tensor_core_bf16_perf",
      "source": "kernels/prototypes/hopper/tensor_core/kernel.cu",
      "description": "Hopper BF16 baseline performance lane.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "perf"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_tensor_core_bf16_warp2n",
      "source": "kernels/prototypes/hopper/tensor_core/kernel.cu",
      "description": "Hopper BF16 performance lane with two N fragments per warp.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "perf", "warp2n"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -DPYC_HOPPER_TC_WARP_COL_TILES=2 -DPYC_HOPPER_TC_WARP_ROW_GROUPS=4 -DPYC_HOPPER_TC_WARP_COL_GROUPS=2 -DPYC_HOPPER_TC_SHARED_PAD_A=8 -DPYC_HOPPER_TC_SHARED_PAD_B=8 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_tensor_core_bf16_k32",
      "source": "kernels/prototypes/hopper/tensor_core/kernel.cu",
      "description": "Hopper BF16 performance lane with 32-wide K staging.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "perf", "k32"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -DPYC_HOPPER_TC_TILE_K=32 -DPYC_HOPPER_TC_SHARED_PAD_A=8 -DPYC_HOPPER_TC_SHARED_PAD_B=8 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_tensor_core_bf16_warp2n_k32",
      "source": "kernels/prototypes/hopper/tensor_core/kernel.cu",
      "description": "Hopper BF16 performance lane combining warp2n and 32-wide K staging.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "perf", "warp2n", "k32"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -DPYC_HOPPER_TC_WARP_COL_TILES=2 -DPYC_HOPPER_TC_WARP_ROW_GROUPS=4 -DPYC_HOPPER_TC_WARP_COL_GROUPS=2 -DPYC_HOPPER_TC_TILE_K=32 -DPYC_HOPPER_TC_SHARED_PAD_A=8 -DPYC_HOPPER_TC_SHARED_PAD_B=8 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_cublaslt_bf16",
      "source": "kernels/prototypes/hopper/cublaslt_bf16/kernel.cu",
      "description": "Hopper cuBLASLt BF16 GEMM control lane.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "cublaslt", "bf16", "control"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -lcublasLt -lcublas -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_cublaslt_bf16_check",
      "source": "kernels/prototypes/hopper/cublaslt_bf16/kernel.cu",
      "description": "Smaller Hopper cuBLASLt BF16 correctness lane.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "cublaslt", "bf16", "correctness"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -lcublasLt -lcublas -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 512 512 512 2 10 0"
    },
    {
      "name": "hopper_tensor_core_bf16_async",
      "source": "kernels/prototypes/hopper/tensor_core_async/kernel.cu",
      "description": "Hopper BF16 async WMMA lane with double-buffered staging.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "async", "cpasync"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_tensor_core_bf16_async_wide",
      "source": "kernels/prototypes/hopper/tensor_core_async/kernel.cu",
      "description": "Hopper BF16 async WMMA lane widened to a 64x128 CTA.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "async", "wide"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -DPYC_HOPPER_TC_WARP_COL_GROUPS=4 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_tensor_core_bf16_async_wide_k64",
      "source": "kernels/prototypes/hopper/tensor_core_async/kernel.cu",
      "description": "Hopper BF16 async WMMA wide lane with K=64 staging.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "async", "wide", "k64"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -DPYC_HOPPER_TC_WARP_COL_GROUPS=4 -DPYC_HOPPER_TC_TILE_K=64 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_tensor_core_bf16_async_square",
      "source": "kernels/prototypes/hopper/tensor_core_async/kernel.cu",
      "description": "Hopper BF16 async WMMA lane widened to a 128x128 CTA.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "async", "square"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -DPYC_HOPPER_TC_WARP_ROW_GROUPS=4 -DPYC_HOPPER_TC_WARP_COL_GROUPS=4 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    },
    {
      "name": "hopper_tensor_core_bf16_async_square_k64",
      "source": "kernels/prototypes/hopper/tensor_core_async/kernel.cu",
      "description": "Hopper BF16 async WMMA square lane with K=64 staging.",
      "tags": ["cuda", "matmul", "hopper", "sm90", "prototype", "tensor-core", "bf16", "async", "square", "k64"],
      "compile_cmd": "{nvcc} -O3 -std=c++17 -lineinfo -DPYC_HOPPER_TENSOR_CORE_USE_BF16=1 -DPYC_HOPPER_TC_WARP_ROW_GROUPS=4 -DPYC_HOPPER_TC_WARP_COL_GROUPS=4 -DPYC_HOPPER_TC_TILE_K=64 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 {source} -o {build_dir}/{name}",
      "run_cmd": "{build_dir}/{name} 4096 4096 4096 3 30 1"
    }
  ]
}