Nowadays, developers lack tools that enable the development of complex workflows involving HPC simulations and modeling with data analytics and machine learning.eFlows4HPC aims to deliver a workflow software stack and an additional set of services to enable the integration of HPC simulations and modeling with big data analytics and machine learning in scientific and industrial applications. The software stack will allow creating innovative adaptive workflows that efficiently use the computing resources considering novel storage solutions.
Coordinated by the Barcelona Supercomputing Center (BSC), the eFlows4HPC consortium comprises 16 partners from seven different countries with expertise in technical aspects: supercomputing and acceleration, workflow management and orchestration, machine learning, big data analytics, data management, and storage; together with expertise in the pillar workflows’ areas: manufacturing, climate, urgent computing.
