Minisymposium Presentation

Scientific workflows are becoming more complex. While previously computations were focused only on a single computational domain, nowadays it is common that users pursue the combination of traditional HPC simulations, together with High Performance Data Analytics and Machine Learning algorithms, while having complex mechanisms to manage their executions (fault tolerance, heterogeneity, …). In this presentation, we will show our current efforts towards simplifying the lifecycle management of HPC, data analytics and AI workflows for both scientific and industrial applications. The concept of HPC Workflows as a Service will be introduced and its application will be shown in the domains of prototyping of complex manufactured objects, adaptive workflows for climate and tropical cyclones studies and urgent computing for natural hazards (in particular, earthquakes and their associated tsunamis). Besides, we will also show our efforts towards the adaptation of such complex workflows for the computing continuum (cloud, edge and IoT infrastructures) through the design of a meta-OS. Applications on the domain of personalised healthcare (stroke detection) will be shown. Finally, our newest proposal focused on providing a programming model and architecture for an easy development of applications in swarm computing environments will also be introduced.