July 2024

Diving into GPU Programming

In a previous blog, we discussed the performance of different programming models—SYCL, OpenMP, CUDA, and HIP—when applied to Computational Fluid Dynamics (CFD). In this article we will delve deeper into these three languages, comparing their pros and cons, installation requirements, and performance using a simple vector addition example. GPU programming CUDA has been the go-to […]

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Register now open! Workshop on Advancements of Global Challenges Applications | 15th PPAM 2024 Conference

Registration is now open for our upcoming Autumn workshop during the 15th PPAM 2024 Conference (International Conference on Parallel Processing and Applied Mathematics). You can now register via this link to our “Workshop on advancements of global challenges applications” (AGCA), featuring well respected researchers in an engaging presentation schedule. Our entire list of sessions is

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Uncertainty Quantification hackathon gets the attention of users

HiDALGO2 project together with CIRCE and SEAVEA projects organised a joint Uncertainty Quantification (UQ) hackathon in June 2024. It focused on enabling Verification, Validation, and Uncertainty Quantification (VVUQ) for global challenge applications (e.g., those used in HiDALGO2 and CIRCE) using the SEAVEA toolkit (SEAVEAtk). Along with other participants from several countries, HiDALGO2 partners participated in

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Advancements and Internships in Urban Building Energy Simulation

New York: the Financial District, Battery Park, and the southern tip of Manhattan Island, where the Hudson and East Rivers converge Roadmap and Recent Achievements The HiDALGO2 project is progressing steadily, with significant advancements in urban building energy simulations and CI/CD methodologies. The recent paper of our partner, Cemosis, Ktirio Urban Building: A Computational Framework

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Particle-resolved simulation of antidunes in free-surface flows

Computational Fluid Dynamics (CFD) simulations are critical for understanding and predicting complex fluid dynamics phenomena that are often difficult or impossible to capture by experimental methods alone. An example of the active use of CFD simulation to aid in the understanding of a complex flow scenario is demonstrated in this project, which marks the first

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