Keynotes

Confirmed Keynote speakers of GECON 2021. More keynote speakers will be announced in due time.

 

Speaker: Rosa M. Badia

Title: Dynamic and Intelligent Workflows with eFlows4HPC

Abstract: Distributed computing infrastructures are evolving from traditional models to environments that involve sensors, edge devices, instruments, etc, and,  as well, high-end  computing systems such as clouds and HPC clusters. A key aspect is how to describe and develop the applications to be executed in such platforms.What is more, the use of data analytics and artificial intelligence in general is on high demand in current HPC applications. However, the methodologies to develop such workflows that integrate HPC simulations and data analytics is not well integrated. eFlows4HPC project has recently started with the goal of providing 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 project will demonstrate its advances through three application Pillars with high industrial and social relevance: manufacturing, climate and urgent computing for natural hazards; these applications will help to prove how the realization of forthcoming efficient HPC and data-centric applications can be developed with new workflow technologies. The talk will present the motivation, challenges and project workplan.

Short Bio: Rosa M. Badia holds a PhD on Computer Science (1994) from the Technical University of Catalonia (UPC). She is the manager of the Workflows and Distributed Computing research group at the Barcelona Supercomputing Center (BSC). She is considered one of the key researchers in Parallel programming models for multicore and distributed computing due to her contribution to task-based programming models during the last 15 years. The research group focuses on PyCOMPSs/COMPSs, an parallel task-based programming distributed computing, and its application to the development of large heterogeneous workflows that combine HPC, Big Data and Machine Learning. The group is also doing research around the dislib, a parallel machine learning library parallelized with PyCOMPSs.  Dr Badia has published near 200 papers in international conferences and journals in the topics of her research. She has been very active in projects funded by the European Commission in contracts with industry. She has been actively contributing to the BDEC international initiative and is a member of HiPEAC Network of Excellence. She received the Euro-Par Achievement Award 2019 for her contributions to parallel processing and the DonaTIC award, category Academia/Researcher in 2019.  Rosa Badia is the IP of eFlows4HPC.