摘要
Abstract
Aiming at the inefficiency caused by complex dependency relationships of traditional workflow in film and television visual effects and post-production,this study explores the core features of directed acyclic graph(DAG)architecture and its application value in task scheduling and computational optimization.A cross-software,a unified task scheduling framework is proposed to resolve critical bottlenecks in collaboration within the industry and resource management.By analyzing the DAG architecture towards mainstream digital content creation(DCC)software such as Houdini,Maya,and Nuke,this research studies their implementations of task scheduling,parallel computing,and dynamic scalability.By intergrating with the requirements of full-cycle film production workflow,we designed a DAG-based unified framework,which incorporates universal data standards,a global task schedul-ing engine,and a resource repository.The framework also adopt Kahn algorithm to realize topological sorting and dynamic dependency management.DAG technology,leveraging its acyclic dependency,topological sorting,and dynamic scalability,provides an efficient solution for task scheduling and computational optimization in film pro-duction.In the future,it is still necessary to focus on resolving cross-software compatibility and standardization is-sues,integrating artificial intelligence(AI)and cloud-native technologies,and ultimately achieving end-to-end auto-mation to support the industrialization of film production.关键词
有向无环图(DAG)/影视特效/后期制作/全局任务调度/动态依赖管理Key words
Directed Acyclic Graph(DAG)/Visual Effects/Post-production/Global Task Scheduling/Dynamic Dependency Management分类
艺术学
