Wu, QiDoyle, Michael J.Ma, Kwan-LiuBujack, RoxanaTierny, JulienSadlo, Filip2022-06-022022-06-022022978-3-03868-175-51727-348Xhttps://doi.org/10.2312/pgv.20221064https://diglib.eg.org:443/handle/10.2312/pgv20221064Modern simulations and experiments can produce massive amounts of high-fidelity data that are challenging to transport and visualize interactively. We have designed a data streaming system to support interactive visualization of large volume data. Our streaming system design is unique in its flexibility to support diverse data organizations and its coupling with a highly efficient CPU-based ray-tracing renderer. In this paper, we present our streaming and rendering design and demonstrate the efficacy of our system with progressive rendering of streaming tree-based AMR (TAMR) volume data and radial basis function (RBF) particle volume data. With our system, interactive visualization can be achieved using only a mid-range workstation with a single CPU and a modest quantity of RAM.Attribution 4.0 International License10.2312/pgv.2022106437-4711 pages