The SPACE Center of Excellence and NCC Czechia are pleased to announce an upcoming workshop on High-Performance Computing (HPC) Visualization. This workshop will focus on the latest tools and techniques for managing the vast datasets generated by large-scale simulations and observational surveys...
The SPACE Centers of Excellence (CoE) and NCC Czechia invite you to online training on the Standardization and Development of ONNX (Open Neural Network Exchange) scheduled for 27 February 2025. In a talk about ONNX and the LF AI & Data (Linux Foundation AI & Data) initiative, attendees...
The third webinar in a series of three, organized by SPACE CoE and NCC Czechia, is scheduled for 15 October 2024. The webinar is aimed at researchers working in the field of fluid dynamics and astrophysicists interested in structure formation. It will cover the main features of the RAMSES cod...
The second webinar in a series of three, organized by SPACE CoE and NCC Czechia, is scheduled for 1 October 2024. The webinar titled A Kinetic Approach to Simulating Plasmas Using iPic3D is designed for researchers interested in particle-in-cell methods and high-performance computing. The pres...
SPACE CoE and NCC Czechia are inviting you to a series of three webinars that will be held online in the upcoming months. The first event is scheduled for 17 September 2024 and will introduce two advanced simulation tools: BHAC (Black Hole Accretion Code) and FIL (Frankfurt/IllinoisGRMHD).
B...
The SPACE CoE is hosting an event on the ChaNGa code and the Charm++ framework on 2 July 2024. The training is aimed at researchers interested in high-performance computing (HPC) and the challenges that astrophysics codes present when scaling towards exascale. The event will cover the advant...
On 18 June 2024, the SPACE CoE will be hosting an event on the OpenGadget code for Cosmological Simulations. The training is aimed at HPC experts from all domains who are interested in adapting their codes for exascale computing. Participants will benefit from the training by learning how anothe...
