DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.272
Haeyong Chung , Virginia Polytechnic Institute and State University, Blacksburg
Christopher Andrews , Middlebury College
Chris North , Virginia Polytechnic Institute and State University, Blacksburg
Large high-resolution displays (LHRD) enable visualization of extremely large-scale datasets with high resolution, large physical size, scalable rendering performance, advanced interaction methods, and collaboration. Despite the advantages, applications for LHRD can be developed only by a select group of researchers and programmers, since its software implementation requires design and development paradigms different from typical desktop environments. It is critical for developers to understand and take advantage of appropriate software tools and methods for their LHRD applications. In this paper, we present a survey of the state-of-the-art software frameworks and applications for cluster-based LHRD, highlighting a 3-aspect taxonomy. This survey can aid LHRD application and framework developers in choosing more suitable development techniques and software environments for new LHRD applications, and guide LHRD researchers to open needs in LHRD software frameworks.
Applications, Distributed/network graphics, Graphics Systems, Computer Graphics, Computing Methodologies, Visualization, Simulation, Modeling, and Visualization, Parallel processing, Hardware Architecture, Distributed systems, Systems and Software, Information Storage and Retrieval, User Interfaces, Information Interfaces and Representation (HCI), Information Technology and Systems
C. North, C. Andrews and H. Chung, "A Survey of Software Frameworks for Cluster-Based Large High-Resolution Displays," in IEEE Transactions on Visualization & Computer Graphics.