diff --git a/docs/cuda-bindings/jupyter_execute/overview.ipynb b/docs/cuda-bindings/jupyter_execute/overview.ipynb
index 87f099ba..a426861b 100644
--- a/docs/cuda-bindings/jupyter_execute/overview.ipynb
+++ b/docs/cuda-bindings/jupyter_execute/overview.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "214bc135",
+   "id": "a16d0ef4",
    "metadata": {},
    "source": [
     "# Overview\n",
@@ -50,7 +50,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "f28214bf",
+   "id": "43b88e17",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c0614a21",
+   "id": "09acb1b1",
    "metadata": {},
    "source": [
     "Error checking is a fundamental best practice in code development and a code\n",
@@ -72,7 +72,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "81e6cce9",
+   "id": "184ad6b3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -98,7 +98,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f65bd3f8",
+   "id": "f62be9c2",
    "metadata": {},
    "source": [
     "It’s common practice to write CUDA kernels near the top of a translation unit,\n",
@@ -112,7 +112,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "7db14249",
+   "id": "a3e242cf",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -130,7 +130,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4ff004fb",
+   "id": "0f941eff",
    "metadata": {},
    "source": [
     "Go ahead and compile the kernel into PTX. Remember that this is executed at runtime using NVRTC. There are three basic steps to NVRTC:\n",
@@ -147,7 +147,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "df079b61",
+   "id": "48cb4d28",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,7 +177,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "242a26d1",
+   "id": "5d0eba31",
    "metadata": {},
    "source": [
     "Before you can use the PTX or do any work on the GPU, you must create a CUDA\n",
@@ -189,7 +189,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "ed5b0372",
+   "id": "978a75f9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -199,7 +199,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4c9a10d3",
+   "id": "5ab569fe",
    "metadata": {},
    "source": [
     "With a CUDA context created on device 0, load the PTX generated earlier into a\n",
@@ -211,7 +211,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "3769c6b2",
+   "id": "2d93e0b8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,7 +224,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bcc474fd",
+   "id": "73264741",
    "metadata": {},
    "source": [
     "Next, get all your data prepared and transferred to the GPU. For increased\n",
@@ -236,7 +236,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "ab27308f",
+   "id": "68589a2b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -254,7 +254,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "59f2a516",
+   "id": "999beb62",
    "metadata": {},
    "source": [
     "With the input data `a`, `x`, and `y` created for the SAXPY transform device,\n",
@@ -271,7 +271,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "183bed83",
+   "id": "6106ebc1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -291,7 +291,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c7cd6857",
+   "id": "1fa5eddf",
    "metadata": {},
    "source": [
     "With data prep and resources allocation finished, the kernel is ready to be\n",
@@ -308,7 +308,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "bd93f23f",
+   "id": "7b5cd74a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -324,7 +324,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5ecbb413",
+   "id": "62ca0d26",
    "metadata": {},
    "source": [
     "Now the kernel can be launched:"
@@ -333,7 +333,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "738b9255",
+   "id": "10977bc8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -359,7 +359,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cbaee309",
+   "id": "7e9411c8",
    "metadata": {},
    "source": [
     "The `cuLaunchKernel` function takes the compiled module kernel and execution\n",
@@ -374,7 +374,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "fdf04b35",
+   "id": "39a99d72",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -386,7 +386,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1b55d350",
+   "id": "5ea9abd6",
    "metadata": {},
    "source": [
     "Perform verification of the data to ensure correctness and finish the code with\n",
@@ -396,7 +396,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "3ca6c337",
+   "id": "0826ba84",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -410,7 +410,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "169cd592",
+   "id": "bc02626b",
    "metadata": {},
    "source": [
     "## Performance\n",
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