Planparallelism
Planparallelism, or plan parallelism, is a form of parallel computation in which the execution of a computational plan—composed of tasks and dependencies—is distributed across multiple processing units so that independent tasks can run in parallel while preserving the overall order dictated by the plan.
It differs from data parallelism, which replicates the same operation across data items, and from pure task
Implementation uses a plan graph or DAG, with a scheduler mapping tasks to cores or machines. Techniques
Applications include large-scale simulations, scientific workflows, database query execution plans, compiler optimization pipelines, and distributed workflow
Advantages include better utilization of heterogeneous resources and ability to exploit parallelism in complex, dependency-driven workloads.
See also: data parallelism, task parallelism, pipeline parallelism, DAG scheduling, parallel computation.