Accelerated Python: Add syllabus for 4 hour Python HPC tutorial.

Author: brycelelbach

tutorials/accelerated-python/notebooks/syllabi/pyhpc__numpy_cupy_mpi4py__4_hours.ipynb

@@ -0,0 +1,54 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2f93e5f6",
+   "metadata": {},
+   "source": [
+    "## PyHPC - NumPy, CuPy, & mpi4py - 4 Hours\n",
+    "\n",
+    "### Notebooks\n",
+    "\n",
+    "| # | Topic | Solution | Technologies | \n",
+    "|---|-------|----------|--------------|\n",
+    "| 01 | [NumPy Intro - ndarray Basics](../fundamentals/01__numpy_intro__ndarray_basics.ipynb) | [Click](../fundamentals/solutions/01__numpy_intro__ndarray_basics__SOLUTION.ipynb) | NumPy |\n",
+    "| 05 | [Memory Spaces - Power Iteration](../fundamentals/05__memory_spaces__power_iteration.ipynb) | [Click](../fundamentals/solutions/05__memory_spaces__power_iteration__SOLUTION.ipynb) | CuPy |\n",
+    "| 06 | [Asynchrony - Power Iteration](../fundamentals/06__asynchrony__power_iteration.ipynb) | [Click](../fundamentals/solutions/06__asynchrony__power_iteration__SOLUTION.ipynb) | CuPy |\n",
+    "| 60 | [mpi4py](../distributed/60__mpi4py.ipynb) | - | mpi4py |\n",
+    "\n",
+    "### Materials\n",
+    "\n",
+    "| Docker Compose | Brev Instance | Brev Provider |\n",
+    "|----------------|---------------|---------------|\n",
+    "| [Link](https://github.com/NVIDIA/accelerated-computing-hub/blob/generated/main/tutorials/accelerated-python/notebooks/syllabi/pyhpc__numpy_cupy_mpi4py__4_hours__docker_compose.yml) | 4xL4, 2xL4, 2xL40S, or 1x L40S | Crusoe or any other with Flexible Ports |\n",
+    "\n",
+    "### Introduction\n",
+    "\n",
+    "In this tutorial we will cover:\n",
+    "- NumPy fundamentals and operations for scientific computing.\n",
+    "- Accelerating NumPy workflows with CuPy on GPUs\n",
+    "- Understanding memory spaces and data movement between CPU and GPU\n",
+    "- Leveraging asynchronous operations for better performance\n",
+    "- Distributed computing with mpi4py for multi-node parallelism\n",
+    "\n",
+    "Attendees will be expected to have a general knowledge of HPC and Python programming concepts. Some familiarity with NumPy is helpful but not required.\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "gpuType": "T4",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}