The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: The 11th International Workshop on Data Analysis and Reduction for Big Scientific Data
Authors: Ronald J. Pandolfi (Lawrence Berkeley National Laboratory (LBNL)); Julian Todd (DOESLiverpool); Jeffrey Donatelli (Lawrence Berkeley National Laboratory (LBNL)); and Daniela Ushizima (Lawrence Berkeley National Laboratory (LBNL), University of California San Francisco)
Abstract: We introduce ASCRIBE-XR, an immersive software application designed to accelerate the visualization and exploration of 3D dense arrays and mesh files from scientific experiments. Based on Godot and PC-VR technologies, the platform enables users to dynamically load and manipulate scientific records to dive into the structure of data. The novelty lies in the unique integration at the system level, combining disparate technologies, such as VR, HPC, and AI-driven object modeling for scientific visualization. Its integration with HPC resources grants remote processing of large-scale data with results streamed directly into the VR environment. The program's multi-user capabilities, enabled through WebRTC and MQTT, allow multiple users to share data and visualize together in real-time, promoting a more interactive and engaging research experience. We describe the design and implementation of ASCRIBE-XR, highlighting its key features and capabilities. We also include examples of its application and discuss the potential benefits to the scientific community.
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