diff --git a/compiled_example b/compiled_example
deleted file mode 100755
index af71cff..0000000
Binary files a/compiled_example and /dev/null differ
diff --git a/example.cu b/example.cu
deleted file mode 100644
index d4e8a9f..0000000
--- a/example.cu
+++ /dev/null
@@ -1,54 +0,0 @@
-#include <stdio.h>
-
-// Kernel definition
-__global__ void AddTwoVectors(float A[], float B[], float C[]) {
-    int i = threadIdx.x;
-    C[i] = A[i] + B[i];
-}
-
-int main() {
-    printf("kkkkkkkkkkkkkkkkkkkk");
-    int N = 1000; // Size of the vectors
-    float A[N], B[N], C[N]; // Arrays for vectors A, B, and C
-
-    // Initialize vectors A and B
-    for (int i = 0; i < N; ++i) {
-        A[i] = 1;
-        B[i] = 3;
-    }
-
-    float *d_A, *d_B, *d_C; // Device pointers for vectors A, B, and C
-
-    // Allocate memory on the device for vectors A, B, and C
-    cudaMalloc((void **)&d_A, N * sizeof(float));
-    cudaMalloc((void **)&d_B, N * sizeof(float));
-    cudaMalloc((void **)&d_C, N * sizeof(float));
-    printf("\nkk2kkkkkkkkkkkkkkkkkk");
-
-    // Copy vectors A and B from host to device
-    cudaMemcpy(d_A, A, N * sizeof(float), cudaMemcpyHostToDevice);
-    cudaMemcpy(d_B, B, N * sizeof(float), cudaMemcpyHostToDevice);
-    printf("\nkk3kkkkkkkkkkkkkkkkkk");
-
-    // Kernel invocation with N threads
-    AddTwoVectors<<<1, N>>>(d_A, d_B, d_C);
-    printf("\nkk4kkkkkkkkkkkkkkkkkk");
-
-    // Check for error
-    cudaError_t error = cudaGetLastError();
-    if(error != cudaSuccess) {
-        printf("CUDA error: %s\n", cudaGetErrorString(error));
-        exit(-1);
-    }
-    
-    // Waits untill all CUDA threads are executed
-    cudaDeviceSynchronize();
-    
-    // Copy vector C from device to host
-    cudaMemcpy(C, d_C, N * sizeof(float), cudaMemcpyDeviceToHost);
-
-    // Free device memory
-    cudaFree(d_A);
-    cudaFree(d_B);
-    cudaFree(d_C);
-}
\ No newline at end of file