Files
project_6/upstream_ref/sgemm_cuda/runner.cuh
Claude 36676f2d1b data: complete SGEMM upstream from 3 repos (siboehm+wangzyon+edtallison) + xllm fused_qknorm_rope + xattention kernels
SGEMM repos (upstream_ref/sgemm_cuda/, 41 files):
  siboehm/SGEMM_CUDA: kernel 1-12, runner, CMake, cuBLAS benchmark
  wangzyon/NVIDIA_SGEMM_PRACTICE: kernel 1-7 (Chinese comments), utils
  edtallison/sgemm-cuda: kernel 01-09 (learning notes), Makefile

xllm kernels (ex_engine/xllm_kernels/cuda/):
  fused_qknorm_rope.cu + bind — saves 128 kernel launches/fwd
  xattention/ — 6 files from upstream xllm
  headers: corex_compat_utils.h, topk_last_dim.cuh
  ilu/CMakeLists.txt

SO_BUILD_MANIFEST.md — complete .so inventory and call chain analysis
2026-08-15 07:00:09 +00:00

26 lines
936 B
Plaintext

#pragma once
#include <cublas_v2.h>
#include <cuda_runtime.h>
#include <fstream>
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <time.h>
#include <unistd.h>
void cudaCheck(cudaError_t error, const char *file,
int line); // CUDA error check
void CudaDeviceInfo(); // print CUDA information
void range_init_matrix(float *mat, int N);
void randomize_matrix(float *mat, int N);
void zero_init_matrix(float *mat, int N);
void copy_matrix(const float *src, float *dest, int N);
void print_matrix(const float *A, int M, int N, std::ofstream &fs);
bool verify_matrix(float *mat1, float *mat2, int N);
float get_current_sec(); // Get the current moment
float cpu_elapsed_time(float &beg, float &end); // Calculate time difference
void run_kernel(int kernel_num, int m, int n, int k, float alpha, float *A,
float *B, float beta, float *C, cublasHandle_t handle);