Abstract: Most of the DAG scheduling algorithms only take the performance of the processor, bandwidth, the cost of the task and other factors into consideration, but regardless of the effect of ...
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 ...
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 ...
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