Practical Parallel Rendering
Alan Chalmers, Erik Reinhard, Tim Davis
Taylor & Francis, Jun 26, 2002 - Computers - 384 pages
Meeting the growing demands for speed and quality in rendering computer graphics images requires new techniques. Practical parallel rendering provides one of the most practical solutions. This book addresses the basic issues of rendering within a parallel or distributed computing environment, and considers the strengths and weaknesses of multiprocessor machines and networked render farms for graphics rendering. Case studies of working applications demonstrate, in detail, practical ways of dealing with complex issues involved in parallel processing.
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Introduction to Parallel Processing
Task Scheduling and Data Management
Parallel Global Illumination Algorithms
6 other sections not shown
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accel grid allocated application process approach architecture ATask BSP tree buffer cache cells chip communication complete data accesses data driven data manager data parallel data structure dataset demand driven distributed driven model efficiency example executed fetched form factors frame coherence frame rates geometry global illumination graphics graphics pipeline hardware hierarchy interactive intersection iso-surface iteration Kilauea large number light sources load balancing machines method multiple multithreaded number of processors objects octree optimized parallel computation parallel implementation parallel processing parallel ray tracing parallel rendering patches performance photon map pipeline pixel prefetching preprocessing primary rays principal data items problem domain processing element processors queue radiosity rasterization request sampling scene data Section sequential shader shading computation shadow rays ShotData shown in Figure SIMD single solution solve speed-up SPOT SPOTEngine stored strategy system controller task manager task packet task pool techniques texture thread traversal triangles update volume voxel