diff --git a/docs/cuda-bindings/jupyter_execute/overview.ipynb b/docs/cuda-bindings/jupyter_execute/overview.ipynb
index e0f20623..30bde4c2 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": "d90c5550",
+   "id": "2198ca39",
    "metadata": {},
    "source": [
     "# Overview\n",
@@ -50,7 +50,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "124f7cec",
+   "id": "fd59bdd6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3710b1d8",
+   "id": "c42dee65",
    "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": "ae255764",
+   "id": "021523bf",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -98,7 +98,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b6903a05",
+   "id": "22a0fcae",
    "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": "51b42144",
+   "id": "85c44dc2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -130,7 +130,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1d80e91a",
+   "id": "aa3ed455",
    "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": "ba345248",
+   "id": "edc74315",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,7 +177,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d1cd099b",
+   "id": "5cd47ef9",
    "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": "ea49fc45",
+   "id": "36fd67db",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -199,7 +199,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "abe1841f",
+   "id": "4e380475",
    "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": "e0e7e2c0",
+   "id": "2a92aeba",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,7 +224,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2958bc64",
+   "id": "2af98ad4",
    "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": "6fb34467",
+   "id": "d676a891",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -254,7 +254,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ca36747d",
+   "id": "373c47ba",
    "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": "1b09a341",
+   "id": "b2974687",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -291,7 +291,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ed518811",
+   "id": "4686bcb9",
    "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": "5ae33105",
+   "id": "dfbf9d47",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -324,7 +324,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0c023001",
+   "id": "7cc9ea58",
    "metadata": {},
    "source": [
     "Now the kernel can be launched:"
@@ -333,7 +333,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "df102a6d",
+   "id": "8b9cf952",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -359,7 +359,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "291726f4",
+   "id": "49945073",
    "metadata": {},
    "source": [
     "The `cuLaunchKernel` function takes the compiled module kernel and execution\n",
@@ -374,7 +374,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "e21ca9ce",
+   "id": "3ad9d8d2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -386,7 +386,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bee6fe29",
+   "id": "ec5a9a54",
    "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": "e5df84c0",
+   "id": "17d9d025",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -410,7 +410,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "460f890d",
+   "id": "0abc3b16",
    "metadata": {},
    "source": [
     "## Performance\n",
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