HiPEAC

Rosa M. Badia

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 has been involved in teaching and research activities at the UPC from 1989 to 2008, where she was an Associated Professor since year 1997. From 1999 to 2005 she was involved in research and development activities at the European Center of Parallelism of Barcelona (CEPBA). Her current research interest are programming models for complex platforms (from multicore, GPUs to Grid/Cloud). The group lead by Dr. Badia has been developing StarSs programming model for more than 10 years, with a high success in adoption by application developers. Currently the group focuses its efforts in the development of PyCOMPSs/COMPSs for distributed computing including HPC, Cloud, and edge-to-Cloud.

Dr. Badia has published more than 200 papers in international conferences and journals in the topics of her research. She is currently participating in the following European funded projects: AI-Sprint, CALESTIS, ICOS, CEEC CoE, PerMedCoE, and DT-GEO. She is the PI of the EuroHPC eFlows4HPC project. She is also involved in the Spanish funded projects COLMENA and HP2C-DT. She is a member of HiPEAC.

She received the Euro-Par Achievement Award 2019 for her contributions to parallel processing, the DonaTIC award, category Academia/Researcher in 2019 and the HPDC Achievement Award 2021 for her innovations in parallel task-based programming models, workflow applications and systems, and leadership in the high performance computing research community. In 2023, she was nominated member of the Institut d’Estudis Catalans.


Expertise areas

Topics: High-performance computing, Networking / Distributed computing, Parallel computing, Performance portability, Resource management / Scheduling, Runtime performance