Scientific Workflows with FireWorks
Scientific workflow is an important technique used in many simulation and data analysis applications. In particular, workflows automate high-throughput / high-complexity computing applications, enable code and data reuse and provenance, provide methods for validation and error tracking, and exploit application concurrency using distributed computing resources. The goal of this tutorial is to learn composing and running workflow applications using the FireWorks workflow environment (FireWorks). The GridKa School Fireworks tutorial is available on GridKa School Fireworks GitLab.