icc和mkl的安装与编译

icc的安装

1. 注册intel官网账号，进入该网址安装https://registrationcenter-download.intel.com/akdlm/irc_nas/17928/l_dpcpp-cpp-compiler_p_2021.3.0.3168_offline.sh

2. 在linux中执行：

   ./l_dpcpp-cpp-compiler_p_2021.3.0.3168_offline.sh
   #如果没有权限可以
   chmod +x l_dpcpp-cpp-compiler_p_2021.3.0.3168_offline.sh
   ./l_dpcpp-cpp-compiler_p_2021.3.0.3168_offline.sh
   #或者使用sh命令
   sh l_dpcpp-cpp-compiler_p_2021.3.0.3168_offline.sh

3. 然后根据图形化界面一步步安装

4. 检验是否安装成功

   wuhlan3@ubuntu:~/Desktop/matrix$ . /opt/intel/oneapi/setvars.sh
   
   :: initializing oneAPI environment ...
      bash: BASH_VERSION = 5.0.17(1)-release
   :: compiler -- latest
   :: debugger -- latest
   :: dev-utilities -- latest
   :: mkl -- latest
   :: tbb -- latest
   :: oneAPI environment initialized ::

mkl的安装

mkl，即英特尔数学核心函数库Intel Math Kernel Library

之前不懂oneapi怎么安装，所以先使用apt安装了mkl~😑

1.直接安装官网上的.sh文件

https://registrationcenter-download.intel.com/akdlm/irc_nas/17901/l_onemkl_p_2021.3.0.520_offline.sh

与icc的安装方法类似

2.apt的安装方法

cd /tmp
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
sudo sh -c 'echo deb https://apt.repos.intel.com/mkl all main /etc/apt/sources.list.d/intel-mkl.list'
sudo apt-get update
sudo apt-get install intel-mkl-64bit-2020.2
source /opt/intel/compilers_and_libraries_2020/linux/mkl/bin/mklvars.sh intel64 ilp64

测试程序

#define min(x,y) (((x) < (y)) ? (x) : (y))

#include <stdio.h>
#include <stdlib.h>
#include "mkl.h"

int main()
{
    double *A, *B, *C;
    int m, n, k, i, j;
    double alpha, beta;

    printf ("\n This example computes real matrix C=alpha*A*B+beta*C using \n"
            " Intel(R) MKL function dgemm, where A, B, and  C are matrices and \n"
            " alpha and beta are double precision scalars\n\n");

    m = 2000, k = 200, n = 1000;
    printf (" Initializing data for matrix multiplication C=A*B for matrix \n"
            " A(%ix%i) and matrix B(%ix%i)\n\n", m, k, k, n);
    alpha = 1.0; beta = 0.0;

    printf (" Allocating memory for matrices aligned on 64-byte boundary for better \n"
            " performance \n\n");
    A = (double *)mkl_malloc( m*k*sizeof( double ), 64 );
    B = (double *)mkl_malloc( k*n*sizeof( double ), 64 );
    C = (double *)mkl_malloc( m*n*sizeof( double ), 64 );
    if (A == NULL || B == NULL || C == NULL) {
      printf( "\n ERROR: Can't allocate memory for matrices. Aborting... \n\n");
      mkl_free(A);
      mkl_free(B);
      mkl_free(C);
      return 1;
    }

    printf (" Intializing matrix data \n\n");
    for (i = 0; i < (m*k); i++) {
        A[i] = (double)(i+1);
    }

    for (i = 0; i < (k*n); i++) {
        B[i] = (double)(-i-1);
    }

    for (i = 0; i < (m*n); i++) {
        C[i] = 0.0;
    }

    printf (" Computing matrix product using Intel(R) MKL dgemm function via CBLAS interface \n\n");
    cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, 
                m, n, k, alpha, A, k, B, n, beta, C, n);
    printf ("\n Computations completed.\n\n");

    printf (" Top left corner of matrix A: \n");
    for (i=0; i<min(m,6); i++) {
      for (j=0; j<min(k,6); j++) {
        printf ("%12.0f", A[j+i*k]);
      }
      printf ("\n");
    }

    printf ("\n Top left corner of matrix B: \n");
    for (i=0; i<min(k,6); i++) {
      for (j=0; j<min(n,6); j++) {
        printf ("%12.0f", B[j+i*n]);
      }
      printf ("\n");
    }

    printf ("\n Top left corner of matrix C: \n");
    for (i=0; i<min(m,6); i++) {
      for (j=0; j<min(n,6); j++) {
        printf ("%12.5G", C[j+i*n]);
      }
      printf ("\n");
    }

    printf ("\n Deallocating memory \n\n");
    mkl_free(A);
    mkl_free(B);
    mkl_free(C);

    printf (" Example completed. \n\n");
    return 0;
}

编译与运行

gcc编译方法：

$ . /opt/intel/bin/compilervars.sh intel64
$ gcc matrix.c -lmkl_rt
$ ./a.out

icc编译方法：

$ . /opt/intel/oneapi/setvars.sh
$ icc -mkl matrix.c
$ ./a.out

使用icc编译器，可以达到性能优化的效果

小插曲

ubuntu虚拟机的磁盘空间不足：

1. 在VMware那里手动设置磁盘空间
2. 下载gparted进行分区

sudo apt-get install gparted
sudo gparted

image-20210901102704269

image-20210901102644127