DeepGEMM - Эффективная библиотека умножения матриц FP8

// Simplified version of the core GEMM kernel
template <
    int BLOCK_M,
    int BLOCK_N,
    int BLOCK_K,
    int CLUSTER_M,
    int CLUSTER_N,
    int STAGES,
    int WARPGROUP_SIZE,
    bool ENABLE_INTERLEAVE
>
__global__ void gemm_fp8_fp8_bf16_nt_kernel(
    const void* __restrict__ lhs,
    const void* __restrict__ lhs_scale,
    const void* __restrict__ rhs,
    void* __restrict__ output,
    const void* __restrict__ rhs_scale,
    int m, int n, int k,
    int lhs_stride, int rhs_stride, int output_stride) {
    
    // Using TMA to load LHS, LHS scale factors, and RHS
    // Using CUDA cores for two-level accumulation (promotion)
    // Using TMA to store output
    
    // Persistent thread specialization implementation
    // Unaligned block size support
    // FFMA SASS interleaving optimization
}