Patrice Hirtzlin

GPU Shape Grammars

GPU Shape Grammars provide a solution for interactive procedural generation, tuning and visualization of massive environment elements for both video games and production rendering. Our technique generates detailed models without explicit geometry storage. To this end we reformulate the grammar expansion for generation of detailed models at the tesselation control and geometry shader stages. Using the geometry generation capabilities of modern graphics hardware, our technique generated massive, highly detailed models. GPU Shape Grammars integrate within a scalable framework by introducing automatic generation of levels of detail at reduced cost. We apply our solution for interactive generation and rendering of scenes containing thousands of buildings and trees.

Many-core event evaluation

We present a Many-Core Event Evaluation framework for real-time execution of many complex animation schemes applicable to a wide range of domains such as gaming and interactive pre-visualization in studio production. Our technique takes advantages of task parallelism on many-core CPU architecture using a two-level scheduling approach. Our generic approach can deal with tens of thousands event-processing nodes, event loops, non-deterministic and interaction-driven animation modifications at runtime. Versatility is further enforced through a native support of hierarchical animation graphs using prototypes and inline files. Our implementation based on the X3D event-based animation model exhibits performances approaching the theoretical upper bounds of parallelization.