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 ...

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 ...

Real-time scheduling of parallel tasks in multiprocessor systems is a critical field that underpins the reliability and efficiency of modern computing in applications ranging from embedded systems to ...

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