The eFlows4HPC project aims to deliver a workflow software stack and an additional set of services to enable the integration of HPC simulations and modelling 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.
eFlows4HPC, funded by the European High-Performance Computing Joint Undertaking (EuroHPC JU) with an overall budget of EUR 7,66M (EUR 3,57M), started on 1 January 2021 and will last for three year. Coordinated by the Barcelona Supercomputing Center (BSC), the project brings together a total 16 partners from seven different countries with expertise in technical aspects: CIMNE (Spain), FZJ (Germany), UPV (Spain), ATOS (France), DtoK (Italy), CMCC (Italy), INRIA (France), SISSA (Italy), PSNC (Poland), UMA (Spain), INGV (Italy), AWI (Germany), ETHZ (Switzerland), Siemens (Germany), NGI (Norway).
The eFlows4HPC consortium has extensive expertise in technical aspects: supercomputing and acceleration, workflow management and orchestration, machine learning, big data analytics, data management, and storage. Their knowledge is also adding to demonstrating the novel technologies through use cases of three application pillars with high industrial and social relevance: manufacturing, climate, and urgent computing for natural hazards.
Since the pandemic is still ongoing, the consortium celebrates its kick-off meeting in a digital format in March 2021. All partners are excited to come together, even if it is only online, to initiate the technical discussions about the project’s starting point and commencing activities.