add lab pdf

GPU-Introduction.ipynb

@@ -18,19 +18,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 6,
    "id": "6d20c462-711f-4f72-abbf-8bab4117e9d7",
    "metadata": {},
    "outputs": [],
    "source": [
     "import numpy as np\n",
-    "size = 4096 * 4096\n",
+    "size = 40 * 40\n",
     "input = np.random.random(size).astype(np.float32)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "id": "99ad7f98-138d-45e4-9268-f42cb3a98f21",
    "metadata": {},
    "outputs": [
@@ -38,7 +38,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "69.6 ms ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)\n"
+      "120 μs ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)\n"
      ]
     }
    ],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 8,
    "id": "0d3af9b3-f418-44ed-8a23-e30aa188fd98",
    "metadata": {},
    "outputs": [
@@ -56,7 +56,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.000734 s\n"
+      "0.000225 s\n"
      ]
     }
    ],
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 9,
    "id": "02440471-d8c6-4ba8-8a89-e3f8c0dcca0a",
    "metadata": {},
    "outputs": [