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This paper describes an application of a second generation implementation of the Sepia architecture (Sepia-2) to interactive volumetric visualization of large rectilinear scalar fields. By employing pipelined associative blending operators in a sort-last configuration a demonstration system with 8 rendering computers sustains 24 to 28 frames per second while interactively rendering large data volumes (1024x256x256 voxels, and 512x512x512 voxels). We believe interactive performance at these frame rates and data sizes is unprecedented. We also believe these results can be extended to other types of structured and unstructured grids and a variety of GL rendering techniques including surface rendering and shadow mapping. We show how to extend our single-stage crossbar demonstration system to multi-stage networks in order to support much larger data sizes and higher image resolutions. This requires solving a dynamic mapping problem for a class of blending operators that includes Porter-Duff compositing operators.

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This paper describes a visualization architecture for scalable computer systems. The architecture is currently being prototyped for use in Beowulf-class clustered systems. A set of OpenGL frame buffers are driven in parallel by a set of CPUs. The visualization architecture merges the contents of these frame buffers by userprogrammable associative and commutative combining operations. The system hardware is built from off-the-shelf components including OpenGL accelerators, Field Programmable Gate Arrays (FP-GAs), and gigabit network interfaces and switches. A secondgeneration prototype supports 60 Hz operation at 1024 1024 pixel resolution with interactive latency up to 1000 nodes.