Interactive High-Performance Visualization for Astronomy and Cosmology
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915534042300416 |
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| author | Sciacca, Eva Tuccari, Nicola Arshad, Umer Pitari, Fabio Muscianisi, Giuseppa Tramontana, Emiliano |
| author_facet | Sciacca, Eva Tuccari, Nicola Arshad, Umer Pitari, Fabio Muscianisi, Giuseppa Tramontana, Emiliano |
| contents | The exponential growth of data in Astrophysics and Cosmology demands scalable computational tools and intuitive interfaces for analysis and visualization. In this work, we present an innovative integration of the VisIVO scientific visualization framework with the InterActive Computing (IAC) service at Cineca, enabling interactive, high-performance visual workflows directly within HPC environments. Through seamless integration into Jupyter-based science gateways, users can now access GPU-enabled compute nodes to perform complex 3D visualizations using VisIVO via custom Python wrappers and preconfigured interactive notebooks. We demonstrate how this infrastructure simplifies access to advanced HPC resources, enhances reproducibility, and accelerates exploratory workflows in astronomical research. Our approach has been validated through a set of representative use cases involving large-scale simulations from the GADGET code, highlighting the effectiveness of this system in visualizing the large-scale structure of the Universe. This work exemplifies how science gateways can bridge domain-specific tools and advanced infrastructures, fostering user-centric, scalable, and reproducible research environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_04665 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interactive High-Performance Visualization for Astronomy and Cosmology Sciacca, Eva Tuccari, Nicola Arshad, Umer Pitari, Fabio Muscianisi, Giuseppa Tramontana, Emiliano Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing The exponential growth of data in Astrophysics and Cosmology demands scalable computational tools and intuitive interfaces for analysis and visualization. In this work, we present an innovative integration of the VisIVO scientific visualization framework with the InterActive Computing (IAC) service at Cineca, enabling interactive, high-performance visual workflows directly within HPC environments. Through seamless integration into Jupyter-based science gateways, users can now access GPU-enabled compute nodes to perform complex 3D visualizations using VisIVO via custom Python wrappers and preconfigured interactive notebooks. We demonstrate how this infrastructure simplifies access to advanced HPC resources, enhances reproducibility, and accelerates exploratory workflows in astronomical research. Our approach has been validated through a set of representative use cases involving large-scale simulations from the GADGET code, highlighting the effectiveness of this system in visualizing the large-scale structure of the Universe. This work exemplifies how science gateways can bridge domain-specific tools and advanced infrastructures, fostering user-centric, scalable, and reproducible research environments. |
| title | Interactive High-Performance Visualization for Astronomy and Cosmology |
| topic | Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2510.04665 |