The Hiperwall Visualization Platform for Big Data Research
M. Saleem, Hugo Valle, Stephen Brown, Veronica Winters and, Akhtar Mahmood

TL;DR
The paper presents Hiperwall, a high-resolution visualization platform for Big Data research, enabling interactive analysis of large images and collaborative scientific exploration across multiple locations.
Contribution
Introduction of a next-generation Hiperwall visualization system that supports interactive, high-resolution display and collaboration for Big Data applications.
Findings
Supports interactive visual analytics of large images.
Enables simultaneous visualization of multiple high-res images.
Facilitates remote collaboration on scientific data.
Abstract
In the era of Big Data, with the increasing use of large-scale data-driven applications, the visualization of very large high-resolution images and extracting useful information (searching for specific targets or rare signal events) from these images can pose challenges to the current video-wall display technologies. At Bellarmine University, we have set up an Advanced Visualization and Computational Lab (AVCL) using a state-of-the-art next generation video-wall technology, called Hiperwall (Highly Interactive Parallelized Display Wall). The 16 feet wide by 4.5 feet high Hiperwall visualization system consists of eight display tiles that are arranged in a 4x2 tile format and has an effective resolution of 16.5 Megapixels. Using Hiperwall, we can perform interactive visual data analytics of large images by conducting comparative views of multiple large images in Astronomy and multiple…
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Taxonomy
TopicsData Visualization and Analytics · Scientific Computing and Data Management · Big Data Technologies and Applications
