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RISC2 highly represented at CARLA 2022

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October 13 2022
October 13, 2022
CARLACARLA 2022EuropeEventHPCLatam
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RISC2 was part of the organization committee of the Latin America High-Performance Computing Conference (CARLA 2022), which took place between September 26 and 30, 2022, in Porto Alegre, Brazil. For the second yea in a row, the RISC2 consortium participated in the organization of different activities and presentations.

RISC2 was responsible for the organization of the “HPC and Data Sciences meet Scientific Computing” workshop, on September 26, which gathered 15 participants. This workshop discussed different topics, such as Scientific Machine Learning, High Performance Scientific Computing, and Data Science. Álvaro Coutinho, Marta Mattoso (from COPPE/Federal University of Rio de Janeiro), Frédéric Valentin (from the National Laboratory for Scientific Computing), Luc Giraud, Stéphane Lanteri, and Patrick Valduriez (from Inria) were the organizers of the workshop.

RISC2 also organized a tutorial about physics-informed neural networks. Our partners from Brazil, Álvaro Coutinho and Romulo Montalvão, from the Federal University of Rio de Janeiro, António Tadeu Gomes and Frédéric Valentin, from the National Laboratory for Scientific Computing, were the instructors of the session.

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Our partners Carlos Barrios, from the Universidad Industrial de Santander, was one of the General Chairs of the Conference. “With 130 participants from all over the world, CARLA 2022 was a space of “rediscover” (to rediscover us) after two years in virtual mode. More than the scientific tracks and the panels, CARLA 2022 allowed us to discuss the challenges and the strengthening of collaboration between the partners (old and new)”, says Carlos Barrios.

Various RISC2 members also gave different presentations. Alba Cervera-Lierta, from the Barcelona Supercomputing Center, was one of the Keynote Speakers of the CARLA Conference, with a presentation about Quantum Computing. Esteban Meneses, from CeNAT, participated in a presentation about “Implementing a GPU-Portable Field-Line Tracing Application with OpenMP Offload”. Pablo Mininni, from the University of Buenos Aires, was responsible for one of the invited talks about “Multi-level parallelisation of computational fluid dynamics codes using CUDA, MPI and OpenMP.”

CARLA is an international conference that provides a forum to foste the growth and strength of the HPC community in Latin America through the exchange and dissemination of new ideas, techniques, and research in HPC and its application areas.

Also during the conference, the RISC2 members had a networking meeting with the SCALAC members, reinforcing the partnership with the SCALAC network.

 

About CARLA 2022:

 

“CARLA 2022 was a space of “rediscover” (to rediscover us) after two years in virtual mode. More than the scientific tracks and the panels, CARLA 2022 allowed us to discuss the challenges and the strengthening of collaboration between the partners (old and new)”.

Carlos Barrios Hernandez,  Universidad Industrial de Santander

 

 

 

 

“Having the RISC2 project supporting a networking dinner in CARLA was crucial in building up the next research collaboration we want to have in the region. I am thoroughly satisfied with the experience of connecting with European and Latin American peers”.

Esteban Meneses, CeNAT

 

 

 

“Among the most important elements, I can highlight the quality and variety of paper presented. This indicates to me that the Latin American HPC community is growing and getting stronger. In addition, I was able to notice efforts to generate relations between Europe and Latin America through the RISC2 project”.

Elvis Rojas Ramírez, CeNAT

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016478.
DISCLAIMER: The sole responsibility for the content lies with the authors. It does not necessarily reflect the opinion of the European Commission (EC). The EC is not responsible for any use that may be made of the information contained therein.

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