GitHub

xueqw/Look-Before-Scheduling-A-Low-Cost-Supervised-Graph-Scheduler-for-Dynamic-Workflows

This repository contains the code and packaged experiment artifacts for the paper A Low-Cost Supervised Graph Scheduler for Dynamic Workflow Scheduling. The repository focuses on supervised graph ...
Aerospace and Mechanical Insider on MSN

Hierarchical reinforcement learning boosts air defense efficiency

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
IEEE

Completion Time Optimization in UAV-Relaying-Assisted MEC Networks With Moving Users

Abstract: As one of the most popular consumer electronics, Unmanned Aerial Vehicle (UAV) has the potential to assist User Equipment (UE) in the Internet of Everything. Mobile edge computing (MEC) is ...
IEEE

Benchmarks and Recommendations for Quantum, Digital, and GPU Annealers in Combinatorial Optimization

Abstract: Annealers leverage quadratic unconstrained binary optimization (QUBO) formulas to address combinatorial optimization problems (COPs) and have shown potential to outperform classical ...
GitHub

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference

HybriMoE is a hybrid CPU-GPU scheduling and cache management system to improve the efficiency of MoE inference. It addresses the high latency overhead associated with on-demand expert loading and ...