diff --git a/README.md b/README.md
index 6387020..fb28203 100644
--- a/README.md
+++ b/README.md
@@ -13,3 +13,6 @@ The exercises related to OpenMP programming model can be found in the folder `op
 - `openmp\lab1`: OpenMP basics: *parallel*, *for-loop*, *sections*, and *tasking*.
 - `openmp\lab2`: OpenMP Advanced: *reduction*, *tasking*, *optimizations*.
 - `openmp\lab3`: OpenMP 4.x+: *Accelerator Model (targeting: Nvidia GP-GPU)*
+
+### CUDA Exercises
+- `cuda\lab1`: CUDA Basics.
diff --git a/cuda/lab1/.solutions/exercise1.cu b/cuda/lab1/.solutions/exercise1.cu
new file mode 100644
index 0000000..c215ea2
--- /dev/null
+++ b/cuda/lab1/.solutions/exercise1.cu
@@ -0,0 +1,76 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file exercise1.c
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief Exercise 1
+ * 
+ * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
+ */
+
+#include <stdlib.h>
+#include <stdio.h>
+#include <string.h>
+#include <math.h>
+
+#include <cuda_runtime.h>
+
+/**
+ * @brief  EX 1 - Launch CUDA kernel to "print" helloworld
+ *
+ * a) Detect global thread id. (tip: use threadIdx.x, blockDim.x, and blockIdx.x)
+ * b) Explore thread execution and schedule changing: N={8, 16, 32} and M={4,8,16}
+ * 
+ * @return void
+ */
+
+__global__ void helloworld(void)
+{
+    int gid = threadIdx.x + blockDim.x * blockIdx.x;
+    printf("Hello world, I am global thread %d (threadIdx=%d, blockIdx=%d, blockDim=%d)\n",
+           gid, threadIdx.x, blockIdx.x, blockDim.x);
+}
+
+#ifndef N
+#define N 8
+#endif
+
+#ifndef BLOCK_SIZE
+#define BLOCK_SIZE 4
+#endif
+
+int main(int argc, const char **argv)
+{
+    helloworld<<<N / BLOCK_SIZE, BLOCK_SIZE>>>();
+
+    // CUDA exit -- needed to flush printf write buffer
+    cudaDeviceReset();
+    return 0;
+}
diff --git a/cuda/lab1/.solutions/exercise2.cu b/cuda/lab1/.solutions/exercise2.cu
new file mode 100644
index 0000000..214d34e
--- /dev/null
+++ b/cuda/lab1/.solutions/exercise2.cu
@@ -0,0 +1,175 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file exercise1.c
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief Exercise 2
+ * 
+ * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
+ */
+
+#include <assert.h>
+#include <time.h>
+#include <stdlib.h>
+#include <stdio.h>
+#include <string.h>
+#include <math.h>
+#include <cuda_runtime.h>
+
+#define gpuErrchk(ans)                        \
+    {                                         \
+        gpuAssert((ans), __FILE__, __LINE__); \
+    }
+static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true)
+{
+    if (code != cudaSuccess)
+    {
+        fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
+        if (abort)
+            exit(code);
+    }
+}
+
+extern "C"
+{
+#include "utils.h"
+}
+
+#define TWO02 (1 << 2)
+#define TWO04 (1 << 4)
+#define TWO08 (1 << 8)
+#ifndef N
+#define N (1 << 27)
+#endif
+
+#ifndef BLOCK_SIZE
+#define BLOCK_SIZE (1024)
+#endif
+
+/*
+ *SAXPY (host implementation)
+ * y := a * x + y
+ */
+void host_saxpy(float * __restrict__ y, float a, float * __restrict__ x, int n)
+{
+#pragma omp parallel for simd schedule(simd: static)
+    for (int i = 0; i < n; i++)
+    {
+        y[i] = a * x[i] + y[i];
+    }
+}
+
+__global__ void gpu_saxpy(float * __restrict__ y, float a, float * __restrict__ x, int n)
+{
+    int i = blockIdx.x * blockDim.x + threadIdx.x;
+    if (i < n)
+        y[i] = a * x[i] + y[i];
+}
+
+int main(int argc, const char **argv)
+{
+    int iret = 0;
+    int n = N;
+    float *h_x, *d_x;
+    float *h_y, *d_y;
+    float *h_z;
+    float a = 101.0f / TWO02,
+          b, c;
+
+    if (argc > 1)
+        n = atoi(argv[1]);
+
+    if (NULL == (h_x = (float *)malloc(sizeof(float) * n)))
+    {
+        printf("error: memory allocation for 'x'\n");
+        iret = -1;
+    }
+    if (NULL == (h_y = (float *)malloc(sizeof(float) * n)))
+    {
+        printf("error: memory allocation for 'y'\n");
+        iret = -1;
+    }
+    if (NULL == (h_z = (float *)malloc(sizeof(float) * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+    if (0 != iret)
+    {
+        free(h_x);
+        free(h_y);
+        free(h_z);
+        exit(EXIT_FAILURE);
+    }
+
+    //Init Data
+    b = rand() % TWO04;
+    c = rand() % TWO08;
+    for (int i = 0; i < n; i++)
+    {
+        h_x[i] = b / (float)TWO02;
+        h_y[i] = h_z[i] = c / (float)TWO04;
+    }
+
+    //CUDA Buffer Allocation
+    gpuErrchk(cudaMalloc((void **)&d_x, sizeof(float) * n));
+    gpuErrchk(cudaMalloc((void **)&d_y, sizeof(float) * n));
+
+    start_timer();
+    gpuErrchk(cudaMemcpy(d_x, h_x, sizeof(float) * n, cudaMemcpyHostToDevice));
+    gpuErrchk(cudaMemcpy(d_y, h_y, sizeof(float) * n, cudaMemcpyHostToDevice));
+    gpu_saxpy<<<((n + BLOCK_SIZE - 1) / BLOCK_SIZE), BLOCK_SIZE>>>(d_y, a, d_x, n);
+    gpuErrchk(cudaPeekAtLastError());
+    gpuErrchk(cudaMemcpy(h_y, d_y, sizeof(float) * n, cudaMemcpyDeviceToHost));
+    stop_timer();
+    printf("saxpy (GPU): %9.3f sec %9.1f MFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((1.0e6 / 1e9) * elapsed_ns()));
+
+    //Check Matematical Consistency
+    start_timer();
+    host_saxpy(h_z, a, h_x, n);
+    stop_timer();
+    printf("saxpy (Host): %9.3f sec %9.1f MFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((1.0e6 / 1e9) * elapsed_ns()));
+    for (int i = 0; i < n; ++i)
+    {
+        iret = *(int *)(h_y + i) ^ *(int *)(h_z + i);
+        assert(iret == 0);
+    }
+
+    //CUDA Buffer Allocation
+    free(h_x);
+    gpuErrchk(cudaFree(d_x));
+    free(h_y);
+    gpuErrchk(cudaFree(d_y));
+    free(h_z);
+
+    // CUDA exit -- needed to flush printf write buffer
+    cudaDeviceReset();
+    return 0;
+}
diff --git a/cuda/lab1/.solutions/exercise3-v1.cu b/cuda/lab1/.solutions/exercise3-v1.cu
new file mode 100644
index 0000000..72142e5
--- /dev/null
+++ b/cuda/lab1/.solutions/exercise3-v1.cu
@@ -0,0 +1,193 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file exercise3.cu
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief Exercise 3 - CUDA MATMUL
+ * 
+ * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+
+#define gpuErrchk(ans)                        \
+    {                                         \
+        gpuAssert((ans), __FILE__, __LINE__); \
+    }
+static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true)
+{
+    if (code != cudaSuccess)
+    {
+        fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
+        if (abort)
+            exit(code);
+    }
+}
+
+extern "C"
+{
+#include "utils.h"
+}
+
+#define TWO02 (1 << 2)
+#define TWO04 (1 << 4)
+#define TWO08 (1 << 8)
+
+#ifndef N
+#define N (32)
+#endif
+
+void gemm(float * __restrict__ a, float * __restrict__ b, float * __restrict__ c, int n)
+{
+    
+#pragma omp parallel for collapse(2)
+    for (int i = 0; i < n; ++i)
+    {
+        for (int j = 0; j < n; ++j)
+        {
+            float sum = 0.0;
+            for (int k = 0; k < n; ++k)
+            {
+                sum += a[i * n + k] * b[k *n + j];
+            }
+            c[i * n + j] = sum;
+        }
+    }
+}
+
+/**
+ * @brief  EX 3 - Complete Matrix Multiplication
+ */
+__global__ void gemm_kernel(float * __restrict__ a, float * __restrict__ b, float * __restrict__ c, int n)
+{
+    int row = threadIdx.x;
+    int col = threadIdx.y;
+
+    float sum = 0.0;
+    for (int k = 0; k < n; ++k)
+    {
+        sum += a[row * n + k] * b[k * n + col];
+    }
+    c[row * n + col] = sum;
+}
+
+int main(int argc, char *argv[])
+{
+    int n = N, iret = 0;
+    float *a, *b, *c, *g;
+    struct timespec rt[2];
+    double wt; // walltime
+
+    if (argc > 1)
+        n = atoi(argv[1]);
+
+    if (NULL == (a = (float *)malloc(sizeof(*a) * n * n)))
+    {
+        printf("error: memory allocation for 'x'\n");
+        iret = -1;
+    }
+    if (NULL == (b = (float *)malloc(sizeof(*b) * n * n)))
+    {
+        printf("error: memory allocation for 'y'\n");
+        iret = -1;
+    }
+    if (NULL == (c = (float *)malloc(sizeof(*c) * n * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+    if (NULL == (g = (float *)malloc(sizeof(*g) * n * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+
+    if (0 != iret)
+    {
+        free(a);
+        free(b);
+        free(c);
+        free(g);
+        exit(EXIT_FAILURE);
+    }
+
+    //Init Data
+    int _b = rand() % TWO04;
+    int _c = rand() % TWO08;
+#pragma omp parallel for
+    for (int i = 0; i < n * n; i++)
+    {
+        a[i] = _b / (float)TWO02;
+        b[i] = _c / (float)TWO04;
+        c[i] = g[i] = 0.0;
+    }
+
+    clock_gettime(CLOCK_REALTIME, rt + 0);
+    gemm(a, b, g, n);
+    clock_gettime(CLOCK_REALTIME, rt + 1);
+    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
+    printf("GEMM (Host) : %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt));
+
+    //CUDA Buffer Allocation
+    float *d_a, *d_b, *d_c;
+    gpuErrchk(cudaMalloc((void **)&d_a, sizeof(float) * n * n));
+    gpuErrchk(cudaMalloc((void **)&d_b, sizeof(float) * n * n));
+    gpuErrchk(cudaMalloc((void **)&d_c, sizeof(float) * n * n));
+
+    clock_gettime(CLOCK_REALTIME, rt + 0);
+    gpuErrchk(cudaMemcpy(d_a, a, sizeof(float) * n * n, cudaMemcpyHostToDevice));
+    gpuErrchk(cudaMemcpy(d_b, b, sizeof(float) * n * n, cudaMemcpyHostToDevice));
+    dim3 dimBlock(n,n);
+    dim3 dimGrid(1,1);
+    gemm_kernel<<<dimGrid, dimBlock>>> (d_a, d_b, d_c, n);
+    gpuErrchk(cudaPeekAtLastError());
+    gpuErrchk(cudaMemcpy(c, d_c, sizeof(float) * n * n, cudaMemcpyDeviceToHost));
+    clock_gettime(CLOCK_REALTIME, rt + 1);
+    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
+    printf("GEMM (GPU): %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt));
+
+    for (int i = 0; i < n * n; i++)
+    {
+        iret = *(int *)(g + i) ^ *(int *)(c + i);
+        assert(iret == 0);
+    }
+    free(a);
+    free(b);
+    free(c);
+    free(g);
+    gpuErrchk(cudaFree(d_a));
+    gpuErrchk(cudaFree(d_b));
+    gpuErrchk(cudaFree(d_c));
+
+    return 0;
+}
diff --git a/cuda/lab1/.solutions/exercise3-v2.cu b/cuda/lab1/.solutions/exercise3-v2.cu
new file mode 100644
index 0000000..1884158
--- /dev/null
+++ b/cuda/lab1/.solutions/exercise3-v2.cu
@@ -0,0 +1,197 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file exercise3.cu
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief Exercise 3 - CUDA MATMUL
+ * 
+ * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
+ */
+ 
+#include <assert.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+
+#define gpuErrchk(ans)                        \
+    {                                         \
+        gpuAssert((ans), __FILE__, __LINE__); \
+    }
+static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true)
+{
+    if (code != cudaSuccess)
+    {
+        fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
+        if (abort)
+            exit(code);
+    }
+}
+
+extern "C"
+{
+#include "utils.h"
+}
+
+#define TWO02 (1 << 2)
+#define TWO04 (1 << 4)
+#define TWO08 (1 << 8)
+
+
+#ifndef N
+#define N (1 << 10)
+#endif
+#ifndef BLOCK_SIZE
+#define BLOCK_SIZE 32
+#endif
+
+void gemm(float * __restrict__ a, float * __restrict__ b, float * __restrict__ c, int n)
+{
+    
+#pragma omp parallel for collapse(2)
+    for (int i = 0; i < n; ++i)
+    {
+        for (int j = 0; j < n; ++j)
+        {
+            float sum = 0.0;
+            for (int k = 0; k < n; ++k)
+            {
+                sum += a[i * n + k] * b[k *n + j];
+            }
+            c[i * n + j] = sum;
+        }
+    }
+}
+
+/**
+ * @brief  EX 3 - Complete Matrix Multiplication
+ */
+__global__ void gemm_kernel(float * __restrict__ a, float * __restrict__ b, float * __restrict__ c, int n)
+{
+    int row = threadIdx.x + blockIdx.x * blockDim.x;
+    int col = threadIdx.y + blockIdx.y * blockDim.y;
+
+    float sum = 0.0;
+    for (int k = 0; k < n; ++k)
+    {
+        sum += a[row * n + k] * b[k * n + col];
+    }
+    c[row * n + col] = sum;
+}
+
+int main(int argc, char *argv[])
+{
+    int n = N, iret = 0;
+    float *a, *b, *c, *g;
+    struct timespec rt[2];
+    double wt; // walltime
+
+    if (argc > 1)
+        n = atoi(argv[1]);
+
+    if (NULL == (a = (float *)malloc(sizeof(*a) * n * n)))
+    {
+        printf("error: memory allocation for 'x'\n");
+        iret = -1;
+    }
+    if (NULL == (b = (float *)malloc(sizeof(*b) * n * n)))
+    {
+        printf("error: memory allocation for 'y'\n");
+        iret = -1;
+    }
+    if (NULL == (c = (float *)malloc(sizeof(*c) * n * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+    if (NULL == (g = (float *)malloc(sizeof(*g) * n * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+
+    if (0 != iret)
+    {
+        free(a);
+        free(b);
+        free(c);
+        free(g);
+        exit(EXIT_FAILURE);
+    }
+
+    //Init Data
+    int _b = rand() % TWO04;
+    int _c = rand() % TWO08;
+#pragma omp parallel for
+    for (int i = 0; i < n * n; i++)
+    {
+        a[i] = _b / (float)TWO02;
+        b[i] = _c / (float)TWO04;
+        c[i] = g[i] = 0.0;
+    }
+
+    clock_gettime(CLOCK_REALTIME, rt + 0);
+    gemm(a, b, g, n);
+    clock_gettime(CLOCK_REALTIME, rt + 1);
+    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
+    printf("GEMM (Host) : %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt));
+
+    //CUDA Buffer Allocation
+    float *d_a, *d_b, *d_c;
+    gpuErrchk(cudaMalloc((void **)&d_a, sizeof(float) * n * n));
+    gpuErrchk(cudaMalloc((void **)&d_b, sizeof(float) * n * n));
+    gpuErrchk(cudaMalloc((void **)&d_c, sizeof(float) * n * n));
+
+    clock_gettime(CLOCK_REALTIME, rt + 0);
+    gpuErrchk(cudaMemcpy(d_a, a, sizeof(float) * n * n, cudaMemcpyHostToDevice));
+    gpuErrchk(cudaMemcpy(d_b, b, sizeof(float) * n * n, cudaMemcpyHostToDevice));
+    dim3 dimBlock(BLOCK_SIZE,BLOCK_SIZE);
+    dim3 dimGrid((n+BLOCK_SIZE-1)/BLOCK_SIZE,(n+BLOCK_SIZE-1)/BLOCK_SIZE);
+    gemm_kernel<<<dimGrid, dimBlock>>> (d_a, d_b, d_c, n);
+    gpuErrchk(cudaPeekAtLastError());
+    gpuErrchk(cudaMemcpy(c, d_c, sizeof(float) * n * n, cudaMemcpyDeviceToHost));
+    clock_gettime(CLOCK_REALTIME, rt + 1);
+    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
+    printf("GEMM (GPU): %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt));
+
+    for (int i = 0; i < n * n; i++)
+    {
+        iret = *(int *)(g + i) ^ *(int *)(c + i);
+        assert(iret == 0);
+    }
+    free(a);
+    free(b);
+    free(c);
+    free(g);
+    gpuErrchk(cudaFree(d_a));
+    gpuErrchk(cudaFree(d_b));
+    gpuErrchk(cudaFree(d_c));
+
+    return 0;
+}
diff --git a/cuda/lab1/.solutions/exercise3-v3.cu b/cuda/lab1/.solutions/exercise3-v3.cu
new file mode 100644
index 0000000..3337e53
--- /dev/null
+++ b/cuda/lab1/.solutions/exercise3-v3.cu
@@ -0,0 +1,208 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file exercise3.cu
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief Exercise 3 - CUDA MATMUL
+ * 
+ * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
+ */
+ 
+#include <assert.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+
+#define gpuErrchk(ans)                        \
+    {                                         \
+        gpuAssert((ans), __FILE__, __LINE__); \
+    }
+static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true)
+{
+    if (code != cudaSuccess)
+    {
+        fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
+        if (abort)
+            exit(code);
+    }
+}
+
+extern "C"
+{
+#include "utils.h"
+}
+
+#define TWO02 (1 << 2)
+#define TWO04 (1 << 4)
+#define TWO08 (1 << 8)
+
+
+#ifndef N
+#define N (1 << 10)
+#endif
+#ifndef TILE_W
+#define TILE_W 4
+#endif
+#ifndef BLOCK_SIZE
+#define BLOCK_SIZE 32
+#endif
+
+void gemm(float * __restrict__ a, float * __restrict__ b, float * __restrict__ c, int n)
+{
+    
+#pragma omp parallel for collapse(2)
+    for (int i = 0; i < n; ++i)
+    {
+        for (int j = 0; j < n; ++j)
+        {
+            float sum = 0.0;
+            for (int k = 0; k < n; ++k)
+            {
+                sum += a[i * n + k] * b[k *n + j];
+            }
+            c[i * n + j] = sum;
+        }
+    }
+}
+
+/**
+ * @brief  EX 3 - Complete Matrix Multiplication
+ */
+__global__ void gemm_kernel(float * __restrict__ a, float * __restrict__ b, float * __restrict__ c, int n)
+{
+    int row = (blockIdx.x * blockDim.x * TILE_W) + (threadIdx.x * TILE_W);
+    int col = (blockIdx.y * blockDim.y * TILE_W) + (threadIdx.y * TILE_W);
+    int end_row = row+TILE_W < n ? row+TILE_W : n;
+    int end_col = col+TILE_W < n ? col+TILE_W : n;
+
+    for (int i = row; i < end_row; ++i)
+    {
+        for (int j = col; j < end_col; ++j)
+        {
+            float sum = 0.0;
+            for (int k = 0; k < n; ++k)
+            {
+                sum += a[i * n + k] * b[k *n + j];
+            }
+            c[i * n + j] = sum;
+        }
+    }
+}
+
+int main(int argc, char *argv[])
+{
+    int n = N, iret = 0;
+    float *a, *b, *c, *g;
+    struct timespec rt[2];
+    double wt; // walltime
+
+    if (argc > 1)
+        n = atoi(argv[1]);
+
+    if (NULL == (a = (float *)malloc(sizeof(*a) * n * n)))
+    {
+        printf("error: memory allocation for 'x'\n");
+        iret = -1;
+    }
+    if (NULL == (b = (float *)malloc(sizeof(*b) * n * n)))
+    {
+        printf("error: memory allocation for 'y'\n");
+        iret = -1;
+    }
+    if (NULL == (c = (float *)malloc(sizeof(*c) * n * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+    if (NULL == (g = (float *)malloc(sizeof(*g) * n * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+
+    if (0 != iret)
+    {
+        free(a);
+        free(b);
+        free(c);
+        free(g);
+        exit(EXIT_FAILURE);
+    }
+
+    //Init Data
+    int _b = rand() % TWO04;
+    int _c = rand() % TWO08;
+#pragma omp parallel for
+    for (int i = 0; i < n * n; i++)
+    {
+        a[i] = _b / (float)TWO02;
+        b[i] = _c / (float)TWO04;
+        c[i] = g[i] = 0.0;
+    }
+
+    clock_gettime(CLOCK_REALTIME, rt + 0);
+    gemm(a, b, g, n);
+    clock_gettime(CLOCK_REALTIME, rt + 1);
+    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
+    printf("GEMM (Host) : %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt));
+
+    //CUDA Buffer Allocation
+    float *d_a, *d_b, *d_c;
+    gpuErrchk(cudaMalloc((void **)&d_a, sizeof(float) * n * n));
+    gpuErrchk(cudaMalloc((void **)&d_b, sizeof(float) * n * n));
+    gpuErrchk(cudaMalloc((void **)&d_c, sizeof(float) * n * n));
+
+    clock_gettime(CLOCK_REALTIME, rt + 0);
+    gpuErrchk(cudaMemcpy(d_a, a, sizeof(float) * n * n, cudaMemcpyHostToDevice));
+    gpuErrchk(cudaMemcpy(d_b, b, sizeof(float) * n * n, cudaMemcpyHostToDevice));
+    dim3 dimBlock(BLOCK_SIZE,BLOCK_SIZE);
+    dim3 dimGrid((n+(BLOCK_SIZE+TILE_W)-1)/(BLOCK_SIZE+TILE_W),(n+(BLOCK_SIZE+TILE_W)-1)/(BLOCK_SIZE+TILE_W));
+    gemm_kernel<<<dimGrid, dimBlock>>> (d_a, d_b, d_c, n);
+    gpuErrchk(cudaPeekAtLastError());
+    gpuErrchk(cudaMemcpy(c, d_c, sizeof(float) * n * n, cudaMemcpyDeviceToHost));
+    clock_gettime(CLOCK_REALTIME, rt + 1);
+    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
+    printf("GEMM (GPU): %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt));
+
+    for (int i = 0; i < n * n; i++)
+    {
+        iret = *(int *)(g + i) ^ *(int *)(c + i);
+        assert(iret == 0);
+    }
+    free(a);
+    free(b);
+    free(c);
+    free(g);
+    gpuErrchk(cudaFree(d_a));
+    gpuErrchk(cudaFree(d_b));
+    gpuErrchk(cudaFree(d_c));
+
+    return 0;
+}
diff --git a/cuda/lab1/Makefile b/cuda/lab1/Makefile
new file mode 100644
index 0000000..ef0f653
--- /dev/null
+++ b/cuda/lab1/Makefile
@@ -0,0 +1,55 @@
+ifndef CUDA_HOME
+CUDA_HOME:=/usr/local/cuda
+endif
+
+ifndef EXERCISE
+EXERCISE=exercise1.cu
+endif
+
+BUILD_DIR ?= ./build
+
+NVCC=$(CUDA_HOME)/bin/nvcc
+CXX=g++
+
+OPT:=-O2 -g
+NVOPT:=-Xcompiler -fopenmp -lineinfo -arch=sm_53 --ptxas-options=-v --use_fast_math
+
+CXXFLAGS:=$(OPT) -I. $(EXT_CXXFLAGS)
+LDFLAGS:=-lm -lcudart $(EXT_LDFLAGS)
+
+NVCFLAGS:=$(CXXFLAGS) $(NVOPT)
+NVLDFLAGS:=$(LDFLAGS) -lgomp
+
+SRCS:= utils.c
+OBJS := $(SRCS:%=$(BUILD_DIR)/%.o) $(EXERCISE:%=$(BUILD_DIR)/%.o)
+EXE=$(EXERCISE:.cu=.exe)
+
+$(EXE):	$(OBJS)
+	$(MKDIR_P) $(dir $@)
+	$(NVCC) $(NVCFLAGS) $(OBJS) -o $@ $(NVLDFLAGS)
+
+$(BUILD_DIR)/%.cu.o: %.cu
+	$(MKDIR_P) $(dir $@)
+	$(NVCC) $(NVCFLAGS) -c $< -o $@
+
+$(BUILD_DIR)/%.cpp.o: %.cpp
+	$(MKDIR_P) $(dir $@)
+	$(CXX) $(CXXFLAGS) -c $< -o $@
+
+$(BUILD_DIR)/%.c.o: %.c
+	$(MKDIR_P) $(dir $@)
+	$(CXX) $(CXXFLAGS) -c $< -o $@
+
+all: $(EXE)
+
+.PHONY: run profile clean
+run: $(EXE)
+	./$(EXE)
+
+profile: $(EXE)
+	sudo LD_LIBRARY_PATH=$(CUDA_HOME)/lib:/usr/ext/lib:${LD_LIBRARY_PATH} LIBRARY_PATH=/usr/ext/lib:${LIBRARY_PATH} nvprof ./$(EXE)
+
+clean:
+	-rm -fr $(BUILD_DIR) *.exe *.out *~
+
+MKDIR_P ?= mkdir -p
diff --git a/cuda/lab1/exercise1.cu b/cuda/lab1/exercise1.cu
new file mode 100644
index 0000000..942271f
--- /dev/null
+++ b/cuda/lab1/exercise1.cu
@@ -0,0 +1,76 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file exercise1.cu
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief Exercise 1
+ * 
+ * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
+ */
+
+#include <stdlib.h>
+#include <stdio.h>
+#include <string.h>
+#include <math.h>
+
+#include <cuda_runtime.h>
+
+#ifndef N
+#define N 32
+#endif
+
+#ifndef BLOCK_SIZE
+#define BLOCK_SIZE 4
+#endif
+
+/**
+ * @brief  EX 1 - Launch CUDA kernel to "print" helloworld
+ *
+ * a) Detect global thread id. (tip: use threadIdx.x, blockDim.x, and blockIdx.x)
+ * b) Explore thread execution and schedule changing: N={32} and M={4,8,16,32,64}
+ * c) Add corner case management
+ * 
+ * @return void
+ */
+
+__global__ void helloworld(void)
+{
+    int gid;
+    printf("Hello world, I am global thread %d (threadIdx=%d, blockIdx=%d, blockDim=%d)\n", gid, ...);
+}
+
+int main(int argc, const char **argv)
+{
+    helloworld<<<N / BLOCK_SIZE, BLOCK_SIZE>>>();
+
+    // CUDA exit -- needed to flush printf write buffer
+    cudaDeviceReset();
+    return 0;
+}
diff --git a/cuda/lab1/exercise2.cu b/cuda/lab1/exercise2.cu
new file mode 100644
index 0000000..a6d30d3
--- /dev/null
+++ b/cuda/lab1/exercise2.cu
@@ -0,0 +1,175 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file exercise2.cu
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief Exercise 2
+ * 
+ * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
+ */
+
+#include <assert.h>
+#include <time.h>
+#include <stdlib.h>
+#include <stdio.h>
+#include <string.h>
+#include <math.h>
+#include <cuda_runtime.h>
+
+#define gpuErrchk(ans)                        \
+{                                         \
+    gpuAssert((ans), __FILE__, __LINE__); \
+}
+static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true)
+{
+    if (code != cudaSuccess)
+    {
+        fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
+        if (abort)
+            exit(code);
+    }
+}
+
+extern "C"
+{
+    #include "utils.h"
+}
+
+#define TWO02 (1 << 2)
+#define TWO04 (1 << 4)
+#define TWO08 (1 << 8)
+#ifndef N
+#define N (1 << 27)
+#endif
+
+#ifndef BLOCK_SIZE
+#define BLOCK_SIZE (1024)
+#endif
+
+
+/*
+ *SAXPY (host implementation)
+ * y := a * x + y
+ */
+void host_saxpy(float * __restrict__ y, float a, float * __restrict__ x, int n)
+{
+#pragma omp parallel for simd schedule(simd: static)
+    for (int i = 0; i < n; i++)
+    {
+        y[i] = a * x[i] + y[i];
+    }
+}
+
+__global__ void saxpy(float * __restrict__ y, float a, float * __restrict__ x, int n)
+{
+    //TODO: Add saxpy kernel body
+}
+
+int main(int argc, const char **argv)
+{
+    int iret = 0;
+    int n = N;
+    float *h_x, *d_x;
+    float *h_y, *d_y;
+    float *h_z;
+    float a = 101.0f / TWO02,
+          b, c;
+
+    if (argc > 1)
+        n = atoi(argv[1]);
+
+    if (NULL == (h_x = (float *)malloc(sizeof(float) * n)))
+    {
+        printf("error: memory allocation for 'x'\n");
+        iret = -1;
+    }
+    if (NULL == (h_y = (float *)malloc(sizeof(float) * n)))
+    {
+        printf("error: memory allocation for 'y'\n");
+        iret = -1;
+    }
+    if (NULL == (h_z = (float *)malloc(sizeof(float) * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+    if (0 != iret)
+    {
+        free(h_x);
+        free(h_y);
+        free(h_z);
+        exit(EXIT_FAILURE);
+    }
+
+    //Init Data
+    b = rand() % TWO04;
+    c = rand() % TWO08;
+    for (int i = 0; i < n; i++)
+    {
+        h_x[i] = b / (float)TWO02;
+        h_y[i] = h_z[i] = c / (float)TWO04;
+    }
+
+    //CUDA Buffer Allocation
+    gpuErrchk(cudaMalloc((void **)&d_x, sizeof(float) * n));
+    gpuErrchk(cudaMalloc((void **)&d_y, sizeof(float) * n));
+
+    //TODO: ADD CUDA Data Move
+    start_timer();
+    cudaMemcpy(h_x, d_x, sizeof(float) * n, cudaMemcpyDeviceToHost);
+
+    //TODO: Add kernel call here
+
+    gpuErrchk(cudaPeekAtLastError());
+
+    //TODO: ADD CUDA Data Move
+
+    stop_timer();
+    printf("saxpy (GPU): %9.3f sec %9.1f MFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((1.0e6 / 1e9) * elapsed_ns()));
+
+    //Check Matematical Consistency
+    start_timer();
+    host_saxpy(h_z, a, h_x, n);
+    stop_timer();
+    printf("saxpy (Host): %9.3f sec %9.1f MFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((1.0e6 / 1e9) * elapsed_ns()));
+    for (int i = 0; i < n; ++i)
+    {
+        iret = *(int *)(h_y + i) ^ *(int *)(h_z + i);
+        assert(iret == 0);
+    }
+
+    //CUDA Buffer Allocation
+    free(h_x);
+    gpuErrchk(cudaFree(d_x));
+    free(h_y);
+    gpuErrchk(cudaFree(d_y));
+    free(h_z);
+    return 0;
+}
diff --git a/cuda/lab1/exercise3.cu b/cuda/lab1/exercise3.cu
new file mode 100644
index 0000000..d915004
--- /dev/null
+++ b/cuda/lab1/exercise3.cu
@@ -0,0 +1,190 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file exercise3.cu
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief Exercise 3 - CUDA MATMUL
+ * 
+ * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
+ */
+ 
+#include <assert.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+
+#define gpuErrchk(ans)                        \
+    {                                         \
+        gpuAssert((ans), __FILE__, __LINE__); \
+    }
+static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true)
+{
+    if (code != cudaSuccess)
+    {
+        fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
+        if (abort)
+            exit(code);
+    }
+}
+
+extern "C"
+{
+#include "utils.h"
+}
+
+#define TWO02 (1 << 2)
+#define TWO04 (1 << 4)
+#define TWO08 (1 << 8)
+
+
+#ifndef N
+#define N (1 << 10)
+#endif
+#ifndef TILE_W
+#define TILE_W 4
+#endif
+#ifndef BLOCK_SIZE
+#define BLOCK_SIZE 32
+#endif
+
+void gemm(float * __restrict__ a, float * __restrict__ b, float * __restrict__ c, int n)
+{
+    
+#pragma omp parallel for collapse(2)
+    for (int i = 0; i < n; ++i)
+    {
+        for (int j = 0; j < n; ++j)
+        {
+            float sum = 0.0;
+            for (int k = 0; k < n; ++k)
+            {
+                sum += a[i * n + k] * b[k *n + j];
+            }
+            c[i * n + j] = sum;
+        }
+    }
+}
+
+/**
+ * @brief  EX 3 - Complete Matrix Multiplication
+ */
+__global__ void gemm_kernel(float *__restrict__ a, float *__restrict__ b, float *__restrict__ c, int n)
+{
+    //TODO: Add GEMM kernel body
+}
+
+int main(int argc, char *argv[])
+{
+    int n = N, iret = 0;
+    float *a, *b, *c, *g;
+    struct timespec rt[2];
+    double wt; // walltime
+
+    if (argc > 1)
+        n = atoi(argv[1]);
+
+    if (NULL == (a = (float *)malloc(sizeof(*a) * n * n)))
+    {
+        printf("error: memory allocation for 'x'\n");
+        iret = -1;
+    }
+    if (NULL == (b = (float *)malloc(sizeof(*b) * n * n)))
+    {
+        printf("error: memory allocation for 'y'\n");
+        iret = -1;
+    }
+    if (NULL == (c = (float *)malloc(sizeof(*c) * n * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+    if (NULL == (g = (float *)malloc(sizeof(*g) * n * n)))
+    {
+        printf("error: memory allocation for 'z'\n");
+        iret = -1;
+    }
+
+    if (0 != iret)
+    {
+        free(a);
+        free(b);
+        free(c);
+        free(g);
+        exit(EXIT_FAILURE);
+    }
+
+    //Init Data
+    int _b = rand() % TWO04;
+    int _c = rand() % TWO08;
+#pragma omp parallel for
+    for (int i = 0; i < n * n; i++)
+    {
+        a[i] = _b / (float)TWO02;
+        b[i] = _c / (float)TWO04;
+        c[i] = g[i] = 0.0;
+    }
+
+    clock_gettime(CLOCK_REALTIME, rt + 0);
+    gemm(a, b, g, n);
+    clock_gettime(CLOCK_REALTIME, rt + 1);
+    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
+    printf("GEMM (Host) : %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt));
+
+    //CUDA Buffer Allocation
+    float *d_a, *d_b, *d_c;
+    //TODO: Add HERE Cuda data allocation
+
+    clock_gettime(CLOCK_REALTIME, rt + 0);
+    //TODO: Add HERE Cuda data transfer
+
+    //TODO: Add HERE dimBlock
+    //TODO: Add HERE dimGrid
+    //TODO: Add HERE kernel launch
+    gpuErrchk(cudaPeekAtLastError());
+    //TODO: Add HERE Cuda data transfer
+    clock_gettime(CLOCK_REALTIME, rt + 1);
+    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
+    printf("GEMM (GPU): %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt));
+
+    for (int i = 0; i < n * n; i++)
+    {
+        iret = *(int *)(g + i) ^ *(int *)(c + i);
+        assert(iret == 0);
+    }
+    free(a);
+    free(b);
+    free(c);
+    free(g);
+    gpuErrchk(cudaFree(d_a));
+    gpuErrchk(cudaFree(d_b));
+    gpuErrchk(cudaFree(d_c));
+
+    return 0;
+}
diff --git a/cuda/lab1/utils.c b/cuda/lab1/utils.c
new file mode 100644
index 0000000..0ce0dc5
--- /dev/null
+++ b/cuda/lab1/utils.c
@@ -0,0 +1,138 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+/**
+ * @file utils.c
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief File containing utilities functions for HPC Unimore Class
+ *
+ * Utilities for OpenMP lab.
+ * 
+ * @see http://algo.ing.unimo.it/people/andrea/Didattica/HPC/index.html
+ */
+
+#define _POSIX_C_SOURCE 199309L
+#include <time.h>
+#include <limits.h>
+#include <math.h>
+#include <stdio.h>
+#include <assert.h>
+
+extern "C" {
+
+#include "utils.h"
+
+#define MAX_ITERATIONS 100
+static struct timespec timestampA, timestampB;
+static unsigned long long statistics[MAX_ITERATIONS];
+static int iterations = 0;
+
+static unsigned long long __diff_ns(struct timespec start, struct timespec end)
+{
+    struct timespec temp;
+    if ((end.tv_nsec - start.tv_nsec) < 0)
+    {
+        temp.tv_sec = end.tv_sec - start.tv_sec - 1;
+        temp.tv_nsec = 1000000000ULL + end.tv_nsec - start.tv_nsec;
+    }
+    else
+    {
+        temp.tv_sec = end.tv_sec - start.tv_sec;
+        temp.tv_nsec = end.tv_nsec - start.tv_nsec;
+    }
+
+    return temp.tv_nsec + temp.tv_sec * 1000000000ULL;
+}
+
+void start_timer()
+{
+    asm volatile("" ::
+                     : "memory");
+    clock_gettime(CLOCK_MONOTONIC_RAW, &timestampA);
+    asm volatile("" ::
+                     : "memory");
+}
+
+void stop_timer()
+{
+    unsigned long long elapsed = 0ULL;
+    asm volatile("" ::
+                     : "memory");
+    clock_gettime(CLOCK_MONOTONIC_RAW, &timestampB);
+    asm volatile("" ::
+                     : "memory");
+}
+
+unsigned long long elapsed_ns()
+{
+    return __diff_ns(timestampA, timestampB);
+}
+
+void start_stats()
+{
+    start_timer();
+}
+
+void collect_stats()
+{
+    assert(iterations < MAX_ITERATIONS);
+    stop_timer();
+    statistics[iterations++] = elapsed_ns();
+}
+
+void print_stats()
+{
+    unsigned long long min = ULLONG_MAX;
+    unsigned long long max = 0LL;
+    double average = 0.0;
+    double std_deviation = 0.0;
+    double sum = 0.0;
+
+    /*  Compute the sum of all elements */
+    for (int i = 0; i < iterations; i++)
+    {
+        if (statistics[i] > max)
+            max = statistics[i];
+        if (statistics[i] < min)
+            min = statistics[i];
+        sum = sum + statistics[i] / 1E6;
+    }
+    average = sum / (double)iterations;
+
+    /*  Compute  variance  and standard deviation  */
+    for (int i = 0; i < iterations; i++)
+    {
+        sum = sum + pow((statistics[i] / 1E6 - average), 2);
+    }
+    std_deviation = sqrt(sum / (double)iterations);
+
+    printf("AvgTime\tMinTime\tMaxTime\tStdDev\n");
+    printf("%.4f ms\t%.4f ms\t%.4f ms\t%.4f\n", (double)average, (double)min / 1E6, (double)max / 1E6, (double)std_deviation);
+}
+
+}
diff --git a/cuda/lab1/utils.h b/cuda/lab1/utils.h
new file mode 100644
index 0000000..966281c
--- /dev/null
+++ b/cuda/lab1/utils.h
@@ -0,0 +1,142 @@
+/*
+ * BSD 2-Clause License
+ * 
+ * Copyright (c) 2020, Alessandro Capotondi
+ * All rights reserved.
+ * 
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * * Redistributions of source code must retain the above copyright notice, this
+ *   list of conditions and the following disclaimer.
+ * 
+ * * Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+/**
+ * @file utils.h
+ * @author Alessandro Capotondi
+ * @date 27 Mar 2020
+ * @brief File containing utilities functions for HPC Unimore Class
+ *
+ * The header define time functions and dummy workload used on the example tests.
+ * 
+ * @see http://algo.ing.unimo.it/people/andrea/Didattica/HPC/index.html
+ */
+#ifndef __UTILS_H__
+#define __UTILS_H__
+
+#include <stdarg.h>
+
+#if defined(VERBOSE)
+#define DEBUG_PRINT(x, ...) printf((x), ##__VA_ARGS__)
+#else
+#define DEBUG_PRINT(x, ...)
+#endif
+
+#if !defined(NTHREADS)
+#define NTHREADS (4)
+#endif
+
+extern "C"
+{
+
+/**
+ * @brief The function set the timestampA
+ *
+ * The function is used to measure elapsed time between two execution points.
+ * The function start_timer() sets the starting point timestamp, while the function
+ * stop_timer() sets the termination timestamp. The elapsed time, expressed in nanoseconds,
+ * between the two points can be retrieved using the function elapsed_ns().
+ * 
+ * Example usage:
+ * @code
+ * start_timer(); // Point A
+ * //SOME CODE HERE
+ * stop_timer(); // Point B
+ * printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and B
+ * //SOME OTHER CODE HERE
+ * stop_timer(); // Point C
+ * printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and C
+ * @endcode
+ * 
+ * @return void
+ * @see start_timer()
+ * @see stop_timer()
+ * @see elapsed_ns()
+ */
+    void start_timer();
+
+/**
+ * @brief The function set the second timestamps
+ *
+ * The function is used to measure elapsed time between two execution points.
+ * The function start_timer() sets the starting point timestamp, while the function
+ * stop_timer() returns the elapsed time, expressed in nanoseconds between the last call
+ * of start_timer() and the current execution point.
+ * 
+ * Example usage:
+ * @code
+ * start_timer(); // Point A
+ * //SOME CODE HERE
+ * stop_timer(); // Point B
+ * printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and B
+ * //SOME OTHER CODE HERE
+ * stop_timer(); // Point C
+ * printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and C
+ * @endcode
+ * 
+ * @return void
+ * @see start_timer()
+ * @see stop_timer()
+ * @see elapsed_ns()
+ */
+    void stop_timer();
+
+/**
+ * @brief Elapsed nano seconds between start_timer() and stop_timer().
+ *
+ * @return Elapsed nano seconds
+ * @see start_timer()
+ * @see stop_timer()
+ */
+    unsigned long long elapsed_ns();
+
+/**
+ * @brief The function init the starting point of stat measurement.
+ *
+ * The function is similar to start_timer().
+ * 
+ * @return void
+ * @see start_timer
+ */
+    void start_stats();
+
+/**
+ * @brief The function collects the elapsed time between the current exeuction point and the 
+ * last call of start_stats().
+ * 
+ * @return void
+ */
+    void collect_stats();
+
+/**
+ * @brief The function display the collected statistics.
+ * @return void
+ */
+    void print_stats();
+}    
+#endif /*__UTILS_H__*/