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 ...
Research-oriented experimental framework for DAG task scheduling using neural network architectures on heterogeneous multi-CPU graph environments. This repository contains the implementation and ...
Abstract: Motivated by the performance demands and stringent timing requirements of safety-critical systems like avionics and autonomous vehicles, research has focused on providing timing guarantees ...
Research code for heterogeneous DAG scheduling experiments. The repository contains Python implementations for offline MARL-HDS, MCTS-NG, and NN+GA experiments, plus a C++ simulator for online MLVP ...
DAG scheduling has CHANGED in Airflow 3+ Here is what you must know 👇 I just made this cheat sheet for you! DAG scheduling updated for Airflow 3. If you want to go back to Airflow 2.x behaviour, Set ...
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