May 2024

HiDALGO2’s Urban Building pilot: Updates and Roadmap

Recent Developments  The HiDALGO2 project Urban Building pilot continues to make significant strides in enhancing our urban building modeling capabilities and user interfaces. Here’s a brief overview of the latest advancements: Modeling Enhancements – Multiple Storey Building Support: We’ve introduced support for multiple storey buildings in our models, allowing for more detailed and accurate simulations […]

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Assessing Computational Fluid Dynamics on GPU Using Portable Languages

Hardware acceleration, especially through Graphics Processing Units (GPUs), is vital for enhancing computational speed and efficiency. GPUs are designed for parallel processing, enabling them to handle multiple data sets simultaneously. This makes them highly efficient at rendering graphics, image processing, and machine learning tasks. In contrast, CPUs process operations sequentially, making GPUs faster at computations.

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Three scientific papers by Széchenyi István University (SZE)

A. Complex-Geometry 3D Computational Fluid Dynamics with Automatic Load Balancing, Fluids | (8(5):147, 2023) This paper introduces a new open-source code, Xyst (https://xyst.cc). The goal of Xyst is to simulate engineering problems with a production-quality code that is extensible and maintainable, using hardware resources efficiently, even for problems with unpredictable, heterogeneous, and dynamic compute-load distribution.

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Hungarian HPC users gain valuable insights into the applications of HiDALGO2

The last two months have been very active for our partner, the Széchenyi István University from Hungary. In March 2024, Kornyei Laszlo from Széchenyi István Egyetem had the chance to introduce our project, HiDALGO2 at the “HPC Matching Day”, organised by the Hungarian Governmental Agency for IT Development (KIFÜ) in Budapest. More specifically, he had

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