CMake is a language-agnostic, cross-platform build tool and is nowadays the de facto standard, with large projects using it to reliably build, test, and deploy their codebases.
GPU hackathons offer a unique opportunity for domain scientists and research software engineers to accelerate and optimize their applications on GPUs. Teams of researchers are paired with experienced GPU mentors to learn and apply the accelerated and parallel computing skills needed by the scientific community. Both current or prospective users of large hybrid CPU/GPU HPC clusters who develop applications that could benefit from GPU acceleration are encouraged to participate!
ENCCS is offering a training workshop on November 18-19 focused on GPU offloading using OpenMP. These new features, which are available since version 4.0, make OpenMP a good option for researchers and developers who wish to accelerate their code on GPUs using a cross-platform framework supported by all HPC device vendors (including NVIDIA, AMD, and Intel)
This workshop will take you from the representation of graphs and finite sets as inputs for neural networks to the implementation of full GNNs for a variety of tasks. You will learn about the central concepts used in GNNs in a hands-on setting using Jupyter Notebooks and a series of coding exercises. While the workshop will use problems from the field of chemistry as an example for applications, the skills you learn can be transferred to any domain where finite set or graph-based representations of data are appropriate. From GNNs, we will make the leap to Transformer architectures, and explain the conceptual ties between the two.