2007 · 45 citations · 13 references
ComputingComputer ScienceHigh-performance ComputingComputational Fluid DynamicsComputational PhysicsParallel ComputingAnimationHardware AccelerationMultiphysics SimulationPhysical ComputingVisual EffectsAccelerated SimulationFacial AnimationFacial Expression AnimationMultiprocessor SchedulingParallelizationPhysics-based SimulationScientific Computing AccelerationSimulation Acceleration
Applications in this domain model and simulate natural phenomena and often drive visual components of motion pictures. The study explores physics‑based simulation for computer animation and visual effects, focusing on its parallelization potential on chip‑multiprocessor systems. The authors analyze parallel performance on a chip‑multiprocessor by characterizing three representative workloads—fluid dynamics, facial animation, and cloth simulation. These workloads are computationally demanding, taking seconds to minutes per frame, and can benefit greatly from acceleration on large‑scale chip‑multiprocessor systems.
We explore the emerging application area of physics-based simulation for computer animation and visual special effects. In particular, we examine its parallelization potential and characterize its behavior on a chip multiprocessor (CMP). Applications in this domain model and simulate natural phenomena, and often direct visual components of motion pictures. We study a set of three workloads that exemplify the span and complexity of physical simulation applications used in a production environment: fluid dynamics, facial animation, and cloth simulation. They are computationally demanding, requiring from a few seconds to several minutes to simulate a single frame; therefore, they can benefit greatly from the acceleration possible with large scale CMPs.
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Steven Cameron Woo, Moriyoshi Ohara, Evan Torrie et al. · 1995 · 3.6K citations · Full text
A fast sweeping method for Eikonal equations
Hongkai Zhao · Mathematics of Computation · 2004 · 1.1K citations · Full text