http://goodluck1982.blog.sohu.com/94851969.html void cblas_sgemm(const CBLAS_LAYOUT Layout, const CBLAS_TRANSPOSE transa, const CBLAS_TRANSPOSE transb, const MKL_INT m, const MKL_INT n, const MKL_INT k, const float alpha, const float *a, const MKL_INT lda, const float *b, const MKL...
void cblas_sgemm(const CBLAS_LAYOUT Layout, const CBLAS_TRANSPOSE transa, const CBLAS_TRANSPOSE transb, const MKL_INT m, const MKL_INT n, const MKL_INT k, const float alpha, const float *a, const MKL_INT lda, const float *b, const MKL_INT ldb, const float beta, float *c, const ...
} cblas_sgemm(CblasColMajor, CblasNoTrans, CblasNoTrans, M, K, N,1, A, lda, B, ldb,0, C, ldc);for(i =0; i < K; i++) {memcpy(MatrixC[i], C + i * M, M *sizeof(float)); } }//如果alloc是列在前行在后else{ lda = N; ldb = K; ldc = K;for(i =0; i < M; ...
cblas_sgemm cblas.h 2018-08-01 15:51 − BLAS(Basic Linear Algebra Subprograms)库,是用Fortran语言实现的向量和矩阵运算库,是许多数值计算软件库的核心, 但也有一些其它的包装, 如cblas是C语言, 也有C++的包装, boost/ublas 是C++ template class的实现; 另外... 有梦就要去实现他 0 923 BLAS dge...
cblas_sgemm(order,transA,transB,M,N,K,alpha,A,lda,B,ldb,beta,C,ldc); 1 1.2、函数作用 C=alphaAB+beta*C ,当alpha =1,beta =0 的情况下,等于两个矩阵相乘。 1.3、函数参数说明 参数1: 设置数据在内存中如何存储,ClasRowMajow 按行存储,ClasColMajow 按列存储,一般用ClasRowMajow。 参数2:Cbl...
cblas_sgemm : s: 单精度浮点数; ge: 一般矩阵; mm: 矩阵矩阵乘法; 1. 2. 3. 4. 5. 全局枚举变量定义 列出几个最常用到的,MKL已经定义的枚举变量类型: //行主序 or 列主序 enum CBLAS_LAYOUT { CblasRowMajor=101, /* row-major arrays */ ...
omp parallel cblas_sgemm(<paras group A>); 其中cblas_sgemm使用从for循环派生的线程,因为MKL还使用OpenMP来创建线程。 浏览5提问于2016-03-08得票数 0 1回答 gprofile中的mkl_vml_serv_threader是否意味着MKL没有按顺序运行? 、、、 我们正在运行一个正在进行MKL增强的应用程序。我们被告知不要使用超线程...
The critical part is that a call to "cblas_sgemm" is followed by a call to "system".I'm new to using MKL, so perhaps I'm not linking correctly, or making some other stupid mistake.I'm using GCC (Ubuntu/Linaro 4.5.2-8ubuntu4) 4.5.2 to compile and link this as ...
libmkl_core.so #2 0x00007fffedb36ba9 in mkl_cblas_sgemm_cl_offload_ilp64 () from /opt/intel/oneapi/mkl/2021.1-beta09/lib/intel64/libmkl_core.so #3 0x0000000000401fbf in main.DIR.OMP.TARGET.DATA.629.split () at blas/sgemm.c:84 #4 0x0000000000401879 in main () at blas/sgemm....
[N]; cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, N, N, N, 1.0, A, N, B, N, 0.0, C, N); std::cout << "Result of matrix multiplication: "; for (int i = 0; i < N; ++i) { for (int j = 0; j < N; ++j) { std::cout << C[i]...