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 ...
Frontiers

Day-Ahead Optimal Scheduling of Large-Scale Renewable Energy Bases Based on Rime Optimization Algorithm

Inspired by the growing potential of artificial intelligence (AI) in clean energy systems, this paper introduces an AI-powered scheduling framework based on the Rime Optimization Algorithm (RIME) to ...
IEEE

A Large Language Model-Assisted Reinforcement Learning Framework with Evolutionary Algorithm for Hybrid Flow-Shop Scheduling

Abstract: With the growing emphasis on sustainable manufacturing, green scheduling has gained prominence from practitioners and researchers in the industry manufacturing enterprises. This article ...
marktechpost

How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...