IEEE

Performance Enhancement Using a Dynamic Scoring-Based Task Scheduling Algorithm for Heterogeneous Multicore Systems

Abstract: Heterogeneous multicore systems, such as ARM's big.LITTLE architecture requires efficient task scheduling to balance deadline misses, energy consumption, and throughput. Traditional methods ...
IEEE

Research on Dynamic Scheduling Algorithm for Cloud Computing Tasks

Abstract: For dynamic task scheduling problems in cloud computing environments, we propose a deep reinforcement learning algorithm based on graph neural networks (GNN-PPO) that enables real-time ...
GitHub

A project aiming to simulate the behavior of Tomasulo's algorithm with speculation supporting the ISA of the Ridiculously Simple Computer (RiSC-16) proposed by Bruce Jacob.

Support a variable hardware organization, where the user can specify the number of reservation stations for each class of instructions and the number of ROB entries, as well, will specify the number ...
GitHub

Reinforcement Learning for Scheduling Problems

Research-ready implementation of reinforcement learning algorithms for job scheduling optimization. This project demonstrates state-of-the-art RL techniques applied to realistic scheduling problems ...