Deployment of HPCW from ESiWACE3 at the 6th MareNostrum5 Hackathon

From 7 to 9 October, the Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC-CNS) celebrated its 6th MareNostrum and our team from HPCW- The High Performance (Climate&Weather Benchmark took part, using the opportunity to work on HPCW, a domain-specific benchmark that provides a set of relevant and realistic near-operational weather and climate workloads. Read the HPCW article!

External stakeholders CoEs Success Story

ESiWACE3 has two services. Read a success story about Service 1: “Collaborations to prepare Europe’s weather and climate models for pre-exascale systems” – focused on porting and refactoring weather and climate models to new computing architectures, such as GPUs. Read the ESiWACE-3 story!

Upcoming Events

Extrae and Paraver: Profiling Weather and Climate Applications: January 27th, 2025

The NCC for HPC in Austria and ESiWACE3 are organizing a one-day training on BSC performance analysis tools, Extrae and Paraver, for profiling weather and climate models in HPC. The course includes theory and hands-on labs, covering trace analysis, performance tuning, and optimization for various programming models. Register for ESiWACE training!

From petascale to exascale and beyond: The Centres of Excellence challenge: January 20, 2025

Workshop organized within the HiPEAC conference. The HiPEAC 2025 conference will take place in Barcelona, Spain. Associated workshops, tutorials, special sessions, several large poster session and an industrial exhibition will run in parallel with the conference. More on ESiWACE at HiPEAC!

Data analytics for engineering data using machine learning (Fraunhofer SCAI + HLRS): March 10-12, 2025.

This three-day online workshop addresses the preparation, analysis and interpretation of numerical simulation data by machine learning methods. Besides the introduction of the most important concepts like clustering, dimensionality reduction, visualization and prediction, this course provides several practical hands-on tutorials using the python libraries numpy, scikit-learn and pytorch as well as the SCAI DataViewer (see also the SimExplore tool). Register for data analytics with ML!