- The efficient provenance data capture of workflows executed on resource-constrained devices. The goal is to support workflow provenance capture on the Edge-to-Cloud Continuum ( published at IEEE Cluster 2023 https://t.co/hfbqYWfHk8 ).
Congrats @CarlosMaltzahn, P. Bonnet, @Tanu_Malik, and J. Lofstead for organizing and kicking off the very first ACM Conference on Reproducibility and Replicability @acmrep in the most original location"Hay Barn" at @ucsc!
A keystone moment for our community + great interactions.
Hi everyone!
On June 1st, I defended my Ph.D. thesis in @Inria_Rennes (@KerData team, @irisa_lab, @INSA_Rennes).
In my thesis, I propose methodologies that aim at overcoming the complexities of understanding, optimizing, and reproducing workflows on the Edge-to-Cloud Continuum.
Many thanks to
my advisors Gabriel Antoniu, Alexandru Costan, Patrick Valduriez
collaborators Pedro Silva, Matthieu Simonin, Alexis Joly, Jean-Christophe Lombardo, Kate Keahey, Marta Mattoso, Débora Barbosa Pina, Renan Souza
and jury @rosabadia, @EwaDeelman , Maria Perez
We didn't win the #SC22 Best Research Poster Award but it was an honor to be part of the finalists! Congratulations to all the Awardees 🎉 (cc @Inria_Rennes)
We will attend @Supercomputing 22 with a booth sharing the space with SEA projects (@Redsea_EU @DEEPprojects@iosea_eu ). Come and visit us at booth #4304! ☕️
Hi everyone!!!
I’m happy to see the E2Clab framework https://t.co/GWYGkmHuE8 (developed during my PhD) being explored in the ENGAGE project (collaboration between the DFKI and Inria).
Enjoy reading! :)
#AI#Edge#Cloud#HPC@KerData@Inria@DFKI
https://t.co/Twc0k1BKN0