2026-06-10 –, Poster Island C
Vitamin‑V (2023–2025) is a Horizon Europe project building a production‑grade, open‑source RISC‑V ecosystem for cloud environments. It extends RISC-V ISA support in three execution platforms (QEMU, gem5, FPGA), enables virtualization and contributes to the development of full cloud‑native stacks—OpenStack, Kubernetes, Kata Containers, RustVMM. The project also boosts commercial developments from Semidynamics, ZeroPoint, and Virtual Open Systems. This paper summarizes the technical outcomes and lessons learned.
Ramon Canal (PhD ,2004) is a Professor at the Universitat Politècnica de Catalunya (UPC), in Barcelona, Catalonia, EU. He worked at Sun Microsystems in 2000, and he was a Fulbright visiting scholar at Harvard University in 2006/2007 and a visiting professor at the University of Cyprus in 2019/2020. His research focuses on power and thermal aware architectures, as well as reliability and security. He has been programme committee member in several editions of HPCA, ISCA, MICRO, DATE, HiPC, IPDPS, ICCD, ICPADS, CF. He has been co-general chair of DFTS 2025, HPCA 2016 and IOLTS 2012. He has been track co-chair for DATE 2019 and 2020. He is currently an associate editor of the IEEE Transactions on Computers, ACM Transactions on Architecture and Code Optimization (TACO) and the Journal of Parallel and Distributed Computing (JPDC). He is a member of the IEEE.
Stefano Di Carlo is a full professor of computer engineering at Politecnico di Torino, Department of Control and Computer Engineering, Italy. He received his Ph.D. and M.S. degrees in Computer Engineering from Politecnico di Torino in 1999 and 2003, respectively.
He has authored over 300 publications in major journals and conference proceedings on a wide range of topics. Major topics include dependable computing, artificial intelligence systems, and computational biology. His current research interests include emerging computing paradigms for reliable, energy-efficient computing; computer architectures; neuromorphic computing; systems; and computational biology.