Accelerating the Design of Scientific Workflows with Simulation-Based Rapid Prototyping

Extreme-scale science requires scientists to combine multiple heterogeneous computational tasks in complex workflows, efficiently managing large amounts of data, and fully exploiting the performance of the entire edge-to-HPC computing continuum. Going from science to workflows requires domain scientists to express their research ideas from a computer science perspective so that the most adapted and efficient tools and techniques can be selected. However, this is a long, error-prone, and tedious process, as there is no 'turnkey solution' in such a diverse ecosystem. Therefore, we propose to develop a comprehensive simulation-based framework that will be used by domain scientists to easily prototype their scientific workflows, while expressing all the important information needed by computer scientists to provide them with the most efficient implementation.