This tutorial teaches you how to accelerate portable HPC applications with CPUs and GPUs using the parallelism and concurrency features of modern Standard C++ and Fortran standards. You'll find the following content:
- Notebooks containing lessons and exercises, intended for self-paced or instructor-led learning, which can be run on NVIDIA Brev or Google Colab.
- Slides containing the lecture content for the lessons.
- Docker Images and Docker Compose files for creating Brev Launchables or running locally.
Brev Launchables of this tutorial should use:
- 4xL4, 2xL4, 2xL40S, or 1x L40S instances.
- GCP, AWS, or any other with Flexible Ports and Linux 6.1.24+, 6.2.11+, or 6.3+ (for HMM).
| Notebook | Link |
|---|---|
| Introduction |  |
| Lab 1: DAXPY | |
| Lab 1: Select (optional) | |
| Lab 2: 2D Heat Equation | |
| Lab 3: Parallel Tree Construction | |
| Notebook | Link |
|---|---|
| Introduction | |
| Lab 1: MATMUL | |
| Lab 2: DAXPY | |
| Lab 3: Heat Equation | |