October 2023

HiDALGO Scientific Papers

Read below two papers on the results of work from the previous project, HiDALGO. The first one published in Future Generation Computer Systems is entitled: “Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism” and authored by Łukasz Szustak, Marcin Lawenda, Sebastian Arming, Gregor Bankhamer, Christoph […]

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HiDALGO2 Adopts DevOps and CI/CD for Seamless Supercomputer Deployments

HiDALGO2 brings together teams and institutions across different countries and time zones, all working together to improve the scalability of several applications from the domain of Global Challenges on Europe’s HPC systems. Here, the concept of DevOps provides the cultural push, and the methodology of continuous integration and deployment (CI/CD) provides the unified framework needed

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Data analytics, AI, and visualisation in the HiDALGO2 project

Technologies used in more detail    HiDALGO2 is building, from an AI point of view, on state-of-the-art algorithms and frameworks such as PyTorch, TensorFlow, or Theano to implement the intelligent workflow composition mechanism. From the HPDA perspective, well-adopted tools and their integration ability are being investigated to enable in-situ analysis of produced data. Specifically, the data

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HiDALGO2 in ICIAM 2023, Japan, August 2023

HiDALGO2 took part at the ICIAM 2023 conference in Tokyo in August 2023, where Zoltán Horváth from our partner Széchenyi István Egyetem (SZE) was an invited speaker in the mini-symposium “Physics-based and data-driven modeling for digital twins” with joint work of Mátyás Constans. He presented the RedSIM solver created in HiDALGO2. RedSIM is a CFD solver for compressible fluids

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