Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

Scheduling algorithms lie at the heart of manufacturing systems optimisation by determining the order and allocation of tasks to resources. Their development is crucial for minimising production times ...

A C++ airline scheduling and optimization system with support for parallel scheduling, cost optimization, CSV/SQLite integration, and structured logging. Demonstrates modern C++ practices, ...

Abstract: Recently, many scientific researchers and applications work on large amounts of data or use high performance computing resources. A high performance cluster is developed to handle massively ...

Project Overview This repository showcases my work on a complex scheduling problem, bridging the gap between traditional classical optimization techniques and modern quantum computing approaches. The ...

Researchers at the University of Maryland have come up with a desktop parallel computing system they say is 100 times faster than current PCs and the kicker is, they want you to name it. That’s right, ...