Dxtu
Dxtu is a distributed task execution framework designed to orchestrate parallel workloads across clusters of compute resources. It provides a central scheduler, multiple worker processes, and a task queue, with an emphasis on simplicity and extensibility. The framework is commonly used to run data processing pipelines, simulations, and machine learning workflows.
The architecture centers on a scheduler that determines task placement, a fleet of workers that execute tasks,
Deployment and use: Dxtu can operate in on-premises environments or in the cloud, and can be integrated
History and status: Dxtu originated in the open-source community during the late 2010s as a lighter alternative