Rindow Math Matrix is the fundamental package for scientific matrix operation
- A powerful N-dimensional array object
- Sophisticated (broadcasting) functions
- A high-speed calculation library written in C.
- Useful linear algebra and random number capabilities
- Parallel calculation with OpenMP
You can call a high-speed calculation library written in C language to speed up matrix calculation processing. Rindow Matlib includes many matrix operations functions used in machine learning.
Please see the documents about rindow mathematics on Rindow Mathematics web pages.
- Windows 10/11 , Linux(Ubuntu 20.04, Debian 12), MacOS or later
Download the pre-build binary file.
Unzip the file for Windows and copy rindowmatlib.dll to the directory set in PATH.
C> PATH %PATH%;C:\path\to\binDownload the pre-build binary file.
Please install using the apt command.
$ sudo apt install ./rindow-matlib_X.X.X_amd64.debSince rindow-matlib currently uses OpenMP, choose the OpenMP version for OpenBLAS as well.
Using the pthread version of OpenBLAS can cause conflicts and become unstable and slow. This issue does not occur on Windows.
If you have already installed the pthread version of OpenBLAS,
$ sudo apt install libopenblas0-openmp liblapacke
$ sudo apt remove libopenblas0-pthreadBut if you can't remove it, you can switch to it using the update-alternatives command.
$ sudo update-alternatives --config libopenblas.so.0-x86_64-linux-gnu
$ sudo update-alternatives --config liblapack.so.3-x86_64-linux-gnuIf you really want to use the pthread version of OpenBLAS, please switch to the serial version of rindow-matlib.
There are no operational mode conflicts with OpenBLAS on Windows.
But, If you really want to use the pthread version of OpenBLAS, please switch to the serial version of rindow-matlib.
$ sudo update-alternatives --config librindowmatlib.so
There are 2 choices for the alternative librindowmatlib.so (providing /usr/lib/librindowmatlib.so).
Selection Path Priority Status
------------------------------------------------------------
* 0 /usr/lib/rindowmatlib-openmp/librindowmatlib.so 95 auto mode
1 /usr/lib/rindowmatlib-openmp/librindowmatlib.so 95 manual mode
2 /usr/lib/rindowmatlib-serial/librindowmatlib.so 90 manual mode
Press <enter> to keep the current choice[*], or type selection number: 2Choose the "rindowmatlib-serial".
Download the pre-build binary file.
Extract the tar.gz file to the tmp directory and navigate to the directory.
$ tar -xzf rindow-matlib-X.X.X-Darwin.tar.gz -C /tmp
$ cd /tmp/rindow-matlib-X.X.X-DarwinNext, copy the include and lib directories to /usr/local.
$ sudo cp -r usr/include /usr/local/
$ sudo cp -r usr/lib /usr/local/
$ brew install libompYou can also build and use from source code.
Download source code from release and unzip
Build with Visual Studio.
C> cd \path\to\here
C> cmake -S . -B build
C> cmake --build build --config Release
C> cd build
C> ctest -C Release
C> cpack -C Release
C> cd ..\packagesUnzip the package file from packages directory.
C> PATH %PATH%;C:\path\to\binYou can also build and use from source code.
Download source code from release and extract
Build with cmake.
$ cd \path\to\here
$ cmake -S . -B build
$ cmake --build build --config Release
$ (cd build; ctest -C Release)
$ (cd build; cpack -C Release)Install with apt command.
$ sudo apt install ./packages/rindow-matlib_X.X.X_amd64.debYou can also build and use from source code.
Download source code from release and extract
Install openmp library with brew before build with cmake.
$ brew install libomp
$ cd \path\to\here
$ cmake -S . -B build
$ cmake --build build --config Release
$ (cd build; ctest -C Release)
$ (cd build; cpack -C Release)#include <iostream>
#include <string>
#include <iomanip>
#include <rindow/matlib.h>
void printMatrix(int m, int n, void *matrix)
{
float *v = (float *)matrix;
for(int i=0; i<m; i++) {
for(int j=0; j<n; j++) {
std::cout << std::setw(4) << v[i*n+j] << ",";
}
std::cout << std::endl;
}
}
int main(int ac, char **av)
{
const int M = 2;
const int N = 3;
// float
float sX[N] = {1, 2, 3};
float sY[M][N] = {{1,10,100}, {-1,-10,-100}};
float alpha = 2.0;
std::cout << "X:" << std::endl;
printMatrix(1, N, sX);
std::cout << std::endl << "Y:" << std::endl;
printMatrix(M, N, sY);
std::cout << std::endl << "alpha:" << std::endl;
std::cout << std::setw(4) << alpha << std::endl;
rindow_matlib_s_add(
RINDOW_MATLIB_NO_TRANS, // int32_t trans,
M, // int32_t m,
N, // int32_t n,
alpha, // float alpha,
(float *)&sX, // float *x,
1, // int32_t incX,
(float *)&sY, // float *a,
N // int32_t ldA
);
std::cout << std::endl << "Results:" << std::endl;
printMatrix(M, N, sY);
std::string mode;
switch(rindow_matlib_common_get_parallel()) {
case RINDOW_MATLIB_SEQUENTIAL: {
mode = "SEQUENTIAL";
break;
}
case RINDOW_MATLIB_THREAD: {
mode = "THREAD";
break;
}
case RINDOW_MATLIB_OPENMP: {
mode = "OPENMP";
break;
} default: {
mode = "UNKOWN";
break;
}
}
std::cout << mode << std::endl;
return 0;
}C> cl /EHsc -I.\path\to\include sample.cpp \path\to\lib\rindowmatlib.lib$ g++ sample.cpp -lrindowmatlib -lm$ c++ sample.cpp -lrindowmatlib -lm