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Sixth IEEE International Conference on Cluster Computing (CLUSTER'04)
JuxtaView - a tool for interactive visualization of large imagery on scalable tiled displays
San Diego, CA, USA
September 20-September 23
ISBN: 0-7803-8694-9
N.K. Krishnaprasad, Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA
V. Vishwanath, Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA
S. Venkataraman, Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA
A.G. Rao, Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA
L. Renambot, Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA
J. Leigh, Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA
A.E. Johnson, Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA
JuxtaView is a cluster-based application for viewing ultra-high-resolution images on scalable tiled displays. We present in JuxtaView, a new parallel computing and distributed memory approach for out-of-core montage visualization, using LambdaRAM, a software-based network-level cache system. The ultimate goal of JuxtaView is to enable a user to interactively roam through potentially terabytes of distributed, spatially referenced image data such as those from electron microscopes, satellites and aerial photographs. In working towards this goal, we describe our first prototype implemented over a local area network, where the image is distributed using LambdaRAM, on the memory of all nodes of a PC cluster driving a tiled display wall. Aggressive prefetching schemes employed by LambdaRAM help to reduce latency involved in remote memory access. We compare LambdaRAM with a more traditional memory-mapped file approach for out-of-core visualization.
Citation:
N.K. Krishnaprasad, V. Vishwanath, S. Venkataraman, A.G. Rao, L. Renambot, J. Leigh, A.E. Johnson, B. Davis, "JuxtaView - a tool for interactive visualization of large imagery on scalable tiled displays," cluster, pp.411-420, Sixth IEEE International Conference on Cluster Computing (CLUSTER'04), 2004
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