Portable GPU Acceleration with Standard Parallelism

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).

Notebooks

Portable GPU Acceleration of HPC Applications with ISO C++

Notebook	Link
Introduction
Lab 1: DAXPY
Lab 1: Select (optional)
Lab 2: 2D Heat Equation
Lab 3: Parallel Tree Construction

Accelerating Portable HPC Applications with ISO Fortran

Notebook	Link
Introduction
Lab 1: MATMUL
Lab 2: DAXPY
Lab 3: Heat Equation