General Workload Manager: A task manager as a service

During the recent past, the demand on High Throughput Computing has been increasing because of the new scientific challenges. Since the access to several computational resources to manage thousands of simulations can be difficult for scientists, different initiatives have tried to provide the scientific community with interfaces that are user-friendly for several computational resources. Usually, these are designed for some specific codes and for a given research field, such as oceanographic, climate modeling and physics, among others. To overcome this situation, we have developed the General Workload Manager (GWM), a universal-purpose very light management system, capable of working with different computing resources with the least configuration as possible, such as HPC and HTC clusters, standalone worker nodes, hypervisor-enabled servers, and cloud platforms. The suggested system is able to deploy thousands of different simulation tasks using several computing resources, and collecting the results in an easy way.