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 #include<cuda.h>

#include<stdio.h>

int main(void) {

    void MatrixMultiplication(float *, float *, float *, int);

    const int Width = 5;

    float M[Width*Width], N[Width*Width], P[Width*Width];

    for(int i = 0; i < (Width*Width) ; i++) {

        M[i] = 5;

        N[i] = 5;

        P[i] = 0;

    }

    MatrixMultiplication(M, N, P, Width);

    for(int i = 0; i < (Width*Width) ; i++) {

        printf("%d \n", P[i]);

    }

    int quit;

    scanf("%d",&quit);

    return 0;

}

//Matrix multiplication kernel - thread specification

__global__ void MatrixMulKernel(float *Md, float *Nd, float *Pd, int Width) {

    //2D Thread ID

    int tx = threadIdx.x;

    int ty = threadIdx.y;

    //Pvalue stores the Pd element that is computed by the thread

    float Pvalue = 0;

    for(int k = 0; k < Width ; ++k) {

        float Mdelement = Md[ty*Width + k];

        float Ndelement = Nd[k*Width + tx];

        Pvalue += (Mdelement*Ndelement);

    }

    Pd[ty*Width + tx] = Pvalue;

}

void MatrixMultiplication(float *M, float *N, float *P, int Width) {

    int size = Width*Width*sizeof(float);

    float *Md, *Nd, *Pd;

    //Transfer M and N to device memory

    cudaMalloc((void**)&Md, size);

    cudaMemcpy(Md,M,size,cudaMemcpyHostToDevice);

    cudaMalloc((void**)&Nd, size);

    cudaMemcpy(Nd,N,size,cudaMemcpyHostToDevice);

    //Allocate P on the device

    cudaMalloc((void**)&Pd,size);

    //Setup the execution configuration

    dim3 dimBlock(Width,Width);

    dim3 dimGrid(1,1);

    //Launch the device computation threads!

    MatrixMulKernel<<<dimGrid,dimBlock>>>(Md,Nd,Pd,Width);

    //Transfer P from device to host

    cudaMemcpy(P,Pd,size,cudaMemcpyDeviceToHost);

    //Free device matrices

    cudaFree(Md);

    cudaFree(Nd);

    cudaFree(Pd);

}

output:-

1

0

0

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