The rapid growth of data in Astrophysics and Cosmology creates significant challenges that require scalable computing and advanced visualization solutions. Cineca is Italy’s largest supercomputing center and a leading global provider of high-performance computing (HPC) services. This paper shows that the integration of the VisIVO scientific visualization framework is with the cloud-based InterActive Computing (IAC) service at Cineca. This integration enables GPU-accelerated, real-time visualization on HPC resources via a Jupyter interface in their browser. A new dedicated Python wrapper and a custom Jupyter kernel enable VisIVO to run smoothly from interactive notebooks, avoid command-line operations, and visualize data directly on HPC compute nodes. Furthermore, we enabled cloud-oriented RESTful APIs, built with the Flask framework, to perform VisIVO operations remotely via simple web services. This setup hides the backend’s complexity and simplifies connections with other applications. Our framework increases system accessibility, ensures reproducibility of results, and supports rapid data exploration for large astrophysical simulations. The system was evaluated using real-world cases, including visual analysis of cosmological simulations generated using the OpenGadget3 code. Results indicate that the system is scalable and reliable, and that it facilitates interactive scientific discovery on high-performance computing (HPC) infrastructures.
Arshad et al. (Thu,) studied this question.