EuroCC Portugal
The project EuroCC - National HPCCompetence Centre - co-funded by the EuroHPC Joint Undertaking - will establish a network of National High Performance Computing Competence Centres in Europe, providing a wide range of services tailored to the respective national needs of industry, academia and public administration.
A FCT is the national coordinator of EuroCC Portugal, which includes 6 partners. This distributed competence centre will create access and support points for High Performance Computing (HPC), High Performance Data Analysis (HPDA) and Artificial Intelligence (AI). The 6 partner entities in this project are:
For more information about the EuroCC Portugal, please see:
Other co-financed projects:
| BigHPC | COMPETE2020/UTAustin: A Management Framework for Consolidated Big Data and High-Performance Computing | MACC, LIP, UTA, TACC, Wavecom |
| HPC+HPDA | ERASMUS+, ref. 2019-1-PT01-KA103-060660: High Performance Computing and High Performance Data Analytics. It enables outgoing mobility of students, academic and non-academic staff of the consortium university partners to programme countries. | UÉvora, UCoimbra and others |
| SPARCITY | H2020-JTIEuroHPC-2019-1, ref. 956213: An Optimization and Co-Design Framework for Sparse Computation | INESC-ID |
| exaFOAM | H2020-JTIEuroHPC-2019-3, ref 956416: Exploitation of Exascale Systems for Open-Source Computational Fluid Dynamics by Mainstream Industry | UMinho and others |
| RISC2 | H2020 FETHPC: A network for supporting the coordination of High-Performance Computing research between Europe and Latin America | UCoimbra, INESCTEC and others |
| SENTINEL | NORTE2020: Novel injectable biosensor for continuous remote monitoring of cancer patients at high-risk of relapse | Stemmatters, LIN, UMinho, CCA, UTA |
| PAStor | UTAustin Portugal, ref: UTA-EXPL/CA/0075/2019: Programmable and Adaptable Storage for AI-oriented HPC Ecosystems. Project URL | INESCTEC, MACC, UTA, TACC |
| ACT-PM | UTAustin Portugal, ref: UTA-EXPL/CA/0080/2019: Automating Crash-Consistency Testing for Persistent Memory. | INESCTEC, INESC-ID, UTA |
| STREACKER | UTAustin Portugal, ref: UTAP-EXPL/CA/0065/2017: Skeletal Tracking Enhanced with Anatomically Correct Kinematics for Exergames and Rehabilitation. Project URL | INESC-ID, UTA, HFF-EPE, IDMEC |