HiReD

Abstract

High-resolution, wall-size displays often rely on bespoke software for performing interactive data visualisation, leading to interface designs with little or no consistency between displays. This makes adoption for novice users difficult when migrating from desktop environments. However, desktop interface techniques (such as task-and menu-bars) do not scale well and so cannot be relied on to drive the design of large display interfaces. In this paper we present HiReD, a multiwindow environment for cluster-driven displays. As well as describing the technical details of the system, we also describe a suite of low-precision interface techniques that aim to provide a familiar desktop environment to the user while Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. EICS '15, June 23 -26, 2015, Duisburg, Germany c 2015 ACM. ISBN 978-1-4503-3646-8/15/06...$15.00 DOI: http://dx.doi.org/10.1145 overcoming the scalability issues of high-resolution displays. We hope that these techniques, as well as the implementation of HiReD itself, can encourage good practice in the design and development of future interfaces for high-resolution, wall-size displays.

Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations

“…Using SRDEs for data visualization is not a new idea [12][13][14][15][16][17]. While many researchers have developed applicationspecific alternatives, those focused on reusability have opted to either develop new frameworks, introduce new applications for existing frameworks [7], extend existing frameworks [18], or combine multiple frameworks [19]. There are a number of competing frameworks, including Equalizer [20], Chromium [21], DisplayCluster [22], CGLX [23], CubIT [24], ContextuWall [25], and Canvus [26], but SAGE2 is currently the most widely used and has nearly 100 deployments worldwide.…”

Sage River Disaster Information (SageRDI)

“…However, low frame rates and latency may make interaction difficult [16]. HiReD [31] builds upon VRJuggler [6] which intercepts OpenGL calls to provide geometry data to the different display nodes of a tiled display wall. VRJuggler was designed to run one application at a time; HiReD adds a general purpose window manager to support multiple applications.…”