Distributed Scientific Computation Scheduler

Create a type-safe distributed computation scheduler for scientific workloads using TypeScript, supporting complex task dependency graphs and heterogeneous computational resources. Implement a generic task scheduling system with compile-time type checking for computational task specifications, resource allocation strategies, and inter-node communication protocols. Design the system to handle scientific computing workloads like Monte Carlo simulations, machine learning model training, and large-scale data processing with robust error handling and dynamic resource management.