A Python-based execution framework that allows users to define, schedule, and monitor dependent tasks in the form of a Directed Acyclic Graph (DAG). This tool enables developers to define tasks as ...
Abstract: With the ever-increasing complexity of real-time applications, heterogeneous architectures are often applied, with tasks modelled as a Direct Acyclic Graph (DAG) to reflect their execution ...
from co_datasets.dag_priority_dataset import DAGPriorityDataset # noqa: E402 from pl_dag_priority_diffusion_model import DAGPriorityDiffusionModel # noqa: E402 from pl_dag_priority_model import ...
Abstract: Efficient scheduling algorithm is critical for DAG-based applications to obtain high-performance in heterogeneous computing systems. In comparison with heuristic-based algorithms, ...
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