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139 changes: 139 additions & 0 deletions 96463303_Harshal/Assignment4.cu
Original file line number Diff line number Diff line change
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#include<iostream>
using namespace std;
int Array_Size;

__global__ void Min(float* d_in1, float* d_out,int* d_array_size)
{
int id = blockIdx.x * blockDim.x + threadIdx.x;
int t_id = threadIdx.x;
int b_id = blockIdx.x;

__shared__ float a[1024];

if(id < *d_array_size)
a[t_id] = d_in1[id];

__syncthreads();

for(int s = 512; s>0; s = s/2)
{
__syncthreads();
if(id>=*d_array_size || id+s>=*d_array_size)
continue;
if(t_id<s)
{
if(a[t_id] > a[t_id + s])
a[t_id]= a[t_id + s];
}
// Each iteration reduces size of active array by half
}
__syncthreads();

if(t_id==0)
d_out[b_id] = a[t_id];
}
__global__ void Max(float* d_in1, float* d_out,int* d_array_size)
{
int id = blockIdx.x * blockDim.x + threadIdx.x;
int t_id = threadIdx.x;
int b_id = blockIdx.x;

__shared__ float a[1024];

if(id < *d_array_size)
a[t_id] = d_in1[id];

__syncthreads();

for(int s = 512; s>0; s = s/2)
{
__syncthreads();
if(id>=*d_array_size || id+s>=*d_array_size)
continue;
if(t_id<s)
{
if(a[t_id] < a[t_id + s])
a[t_id] = a[t_id + s];
}
// Each iteration reduces size of active array by half
}
__syncthreads();

if(t_id==0)
d_out[b_id] = a[t_id];
}
float Find_min_CPU(float h_array[], int Size)
{
float naive_min = h_array[0] ;
for(int i=0; i<Size-1; i++)
{
if(h_array[i]>h_array[i+1])
naive_min=h_array[i+1];
}
return naive_min;
}



float Find_max_CPU(float h_array[], int Size)
{
float naive_max = h_array[0];
for(int i=0; i<Size-1; i++)
{
if(h_array[i]<h_array[i+1])
naive_max=h_array[i+1];
}
return naive_max;
}
int main()
{
cout << "Enter the array size : ";
cin >> Array_Size;

float h_in1[Array_Size],h_min,h_max;
int Array_Bytes = Array_Size * sizeof(float);
int Array_Bytes_1 = (int)ceil(1.0*Array_Bytes/1024);

for(int i=0; i<Array_Size; i++)
{
h_in1[i] = i + 1.5;
}

float *d_in1, *d_out, *d_min,*d_max;
int *d_array_size,*d_array_size_1;

cudaMalloc((void**)&d_in1, Array_Bytes);
cudaMalloc((void**)&d_min, sizeof(float));
cudaMalloc((void**)&d_max, sizeof(float));
cudaMalloc((void**)&d_out, Array_Bytes);
cudaMalloc((void**)&d_array_size, sizeof(int));
cudaMalloc((void**)&d_array_size_1, sizeof(int));

cudaMemcpy(d_in1, h_in1, Array_Bytes, cudaMemcpyHostToDevice);
cudaMemcpy(d_array_size, &Array_Size, sizeof(int), cudaMemcpyHostToDevice);
cudaMemcpy(d_array_size_1, &Array_Bytes_1, sizeof(int), cudaMemcpyHostToDevice);
Min<<<((int)ceil(1.0*Array_Size/1024)), 1024>>>(d_in1, d_out, d_array_size);
Min<<<1, 1024>>>(d_out, d_min, d_array_size_1);

Max<<<((int)ceil(1.0*Array_Size/1024)), 1024>>>(d_in1, d_out,d_array_size);
Max<<<1, 1024>>>(d_out, d_max,d_array_size_1);

float naive_min = Find_min_CPU(h_in1, Array_Size);
float naive_max = Find_max_CPU(h_in1, Array_Size);

cudaMemcpy(&h_min, d_min, sizeof(float), cudaMemcpyDeviceToHost);
cudaMemcpy(&h_max, d_max, sizeof(float), cudaMemcpyDeviceToHost);

cout << " Max " << h_max << " Min " << h_min << endl;
//cout << " Max " << naive_max << " Min " << naive_min << endl;
if(h_max==naive_max&&h_min==naive_min)
printf("Correct\n");
else
printf("Error\n");

cudaFree(d_in1);
cudaFree(d_min);
cudaFree(d_max);
cudaFree(d_out);
cudaFree(d_array_size);
}