I created to simulate a multilevel queue scheduling algorithm. Here I’ll discuss the program’s logic, sample inputs and outputs, analyze the results, and the strengths and weaknesses of each ...

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 ...

Abstract: With the widespread deployment of large language models (LLMs) across diverse applications, optimizing their inference processes to achieve high throughput and low latency has become ...

This project models a simplified compute system in which jobs arrive over time, wait in a queue and are processed by a limited number of workers. The simulator is designed to explore questions such as ...

We're passionate about giving school-aged children opportunities to create, explore and learn about the latest ideas in science, engineering, computing and mathematics. Personal insights from our ...