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Parallel Rendering,Ed Angel Professor of Computer Science, Electrical and Computer Engineering, and Media Arts Director, Arts Technology Center University of New Mexico,2,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Introduction,In many situations, a standard rendering pipeline might not be sufficient Need higher resolution display More primitives than one pipeline can handle Want to use commodity components to build a system that can render in parallel Use standard network to connect,3,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Power Walls,Where do we display large data sets? CRTs have low resolution (1 Mpixel) LCD panels improving but still expensive Need resolution comparable to data set to see detail CT/MRI/MEG Ocean data Solution? Multiple projectors Commodity High-end See IEECE CG & A (July),4,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Tiled Display,5,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,CS Power Wall,6 dual processor Intellestations G Force 3 Graphics cards 6 commodity projectors (1024 x 768) Gigabit ethernet Back projected screen Shared facility with scalable system group Investigate OS and network issues,6,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,CS Power Wall,7,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,CS Power Wall,8,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Power Wall,Inexpensive solution but there are some problems Color matching Vignetting Alignment Overlap areas Synching Dark field,9,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Graphics Architectures,Pipeline Architecture SGI Geometry Engine Geometry passes through pipeline Hardware for clipping transformations texture mapping,Project/Sort,Clip,Transform,Rasterize,Screen,10,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Building Blocks,Graphics processors consist of geometric blocks and rasterizers Geometric units: transformations, clipping, lighting Rasterization: scan conversion, shading Parallelize by using mutiple blocks Where to do depth check?,11,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Sorting Paradigm,We can categorize different ways of interconnecting blocks using a sorting paradigm: each projector is responsible for one area of the screen. Hence, we must sort the primitives and assign them to the proper projector Algorithms can be categorized by where this sorting occurs,12,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Three Rendering Methods,Sort-First Rendering,Sort-Middle Rendering,Sort-Last Rendering,Sort,Sort,Composite,13,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Sort First,Each rasterization unit assigned to an area of the screen Each geometric unit coupled to its own rasterizer Must sort primitives first Can use commodity cards,Sort,14,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Sort-First Rendering for a Random Triangles Application,15,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Sort Middle,Geometric units and rasterization units decoupled Each geometric unit can be assigned any group of objects Each rasterizer is assigned to an area of the screen Must sort between stages,Sort,16,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Sort Last,Couple rasterizers and geometric units Assign objects to geometric units to load balance or via application Composite results at end,Composite,17,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Tree Compositing,Composite in pairs Send color and depth buffers Each time half processors become idle,18,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Binary Swap Compositing,19,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Sort-Last Rendering for a Random Triangles Application,20,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Comparison,Sort first Appealing but hard to implement Sort middle Used in hardware pipelines More difficult to implement with add-on commodity cards Sort last Easy to implement with a compositing stage High network traffic,21,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Mapping to Clusters,Different architectures Shared vs distributed memory Communication overhead Parallel vs distributed algorithms Easy to do sort last Must evaluate communication cost Standard visualization strategies are incorrect if transparency used,22,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Vista Azul,Experimental architecture from IBM donated to AHPCC Half Intel nodes, half AIX nodes Only one (PCI) graphics card per four processors Contained a Scalable Graphics Engine (SGE): high speed-high resolution color buffer that is accessible by all processors,23,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Vista Azul,24,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Comparison Between Sort-First and Sort-Last,25,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Performance on a PC Cluster,Following experiments were done by Ye Cong on the CS cluster 6 Intellestations Gigabit Ethernet GForce 3 graphics Show the effect of network,26,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Sort-First vs Sort Last Random Triangles,27,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Sort First vs Sort Last Teapot,28,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Azul vs Intellistations,29,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,Software for Parallel Rendering,Write your own sort-first sort-last WireGL/Chromium (Stanford) Embed inside package (VTK),30,Angel: Interactive Computer Graphics 4E Addison-Wesley 2005,WireGL: A Distributed Graphics System,A software-based parallel rendering system that unifies the rendering power of a collection of cluster nodes Scalability
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