This case study presents initial results from research targeted at the development of cost-effective scalable visualization and rendering technologies. The implementations of two 3D graphics libraries based on the popular sort-last and sort-middle parallel rendering techniques are discussed. An important goal of these implementations is to provide scalable rendering capability for extremely large datasets (>> 5 million polygons). Applications can use these libraries for either run-time visualization. by linking to an existing parallel simulation. or for traditional postprocessing by linking to an interactive display program. The use of parallel, hardware-accelerated rendering on commodity hardware is leveraged to achieve high performance. Current performance results show that, using our current hardware (a small 16-node cluster), we can utilize up to 850/. of the aggregate graphics performance and achieve rendering rates in excess of 20 million polygons/second using OpenGL@ with lighting, Gouraud shading. and indi\iduallj specified triangles (not [-stripped).
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