Description: Delivering solutions to address the complex problems encountered in science and engineering requires significant development and consideration of methods to automate and scale end-to-end analysis pipelines and workflows. Traditional methods of managing scientific workflows for High Performance Computing (HPC) environments have become increasingly difficult to implement in response to the growing number of heterogenous compute resources, availability of data, and ongoing advancements of simulation and data analysis tools. Workflow managers provide a high-level interface between system resource management and available programming models to abstract the process of defining computational tasks and how they should be executed. These interfaces and tools have become important components of recent scientific discoveries, demonstrating the ability to accelerate the time-to-solution while preserving data provenance and ensuring reproducible results. In this training event, we will discuss one such tool, Galaxy Simulation Builder, and how it can be used to accelerate the development, management, and execution of scientific workflows. To demonstrate the applicability of this tool, the development of three workflows related to modeling/simulation, optimization and machine learning will be discussed.