HPC and Large Data Challenges for Public Exhibitions
DescriptionHis presentation aims to address the challenges of effectively presenting and communicating large data sets to a broad audience. In order to achieve this goal, we will focus on three main areas: quality of visualization, simplification and vulgarisation, and technical challenges. We will discuss the importance of high-quality visualization and interactivity to engage and retain the attention of viewers. We will also explore the need for simplification and vulgarisation in order to present understandable trends to a non-technical audience. Lastly, we will examine the technical challenges of preprocessing data, achieving real-time performance, and ensuring portability across various platforms. To illustrate these concepts, we will showcase a range of concrete past and current installations from the eM+ laboratory. These setups include a CAVE, 360° panorama stereo, and linear navigator, to visualize a variety of research work and material, such as the Montreux Jazz, Video archive exhibition, Photogrammetry scans, Plasma Fusion, and cosmological exploration… Overall, this presentation will offer insights and practical solutions for effectively communicating large data sets to a broad audience, while also highlighting different use cases of high-power computing.
TimeTuesday, June 2716:00 - 16:30 CEST
Session Chair
Event Type
Computer Science, Machine Learning, and Applied Mathematics