SYCL Workshop
SYCL is a C++ abstraction layer for programming heterogeneous hardware with a single-source approach. SYCL is high-level, cross-platform, and extends standard ISO C++17. You will learn to:
Free
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Training on HPDA for climate data with the Ophidia framework
Training on HPDA for climate data with the Ophidia framework
This online training course aims to provide a basic understanding of HPDA challenges for eScience and how these are addressed by the Ophidia HPDA framework. Ophidia is a CMCC Foundation research effort targeting scientific data-intensive analysis, by joining HPC paradigms and Big Data approaches. The framework specifically targets the analysis on top of HPC systems and is currently involved in the ESiWACE2 CoE and the eFlows4HPC EuroHPC JU projects for large-scale scientific data analytics.
Free
1 event,
OpenMP Offloading Workshop
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)
Free
1 event,
Advanced Deep Learning with Transformers – ENCCS/RISE
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.
Free
1 event,
CMake Workshop
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.
Free
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 951732. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and its associated countries .