EuroCC Portugal

The EuroCC project – National Competence Center in HPC – co-financed by the EuroHPC Joint Undertaking partnership – will establish a network of National Centers of Competence in High Performance Computing in Europe, providing a wide range of services adapted to the respective national needs of the industry, academy and public administration.

FCT is the national coordinator of EuroCC Portugal, which includes 6 partners. This distributed competence center will create access points and support for High Performance Computing (HPC), High Performance Data Analysis (HPDA) and Artificial Intelligence (AI). The 6 partner entities of this project are:

For more information about EuroCC Portugal, consult social networks:

Other co-financed projects:

BigHPCCOMPETE2020/UTAustin: A Management Framework for Consolidated Big Data and High-Performance ComputingMACC, LIP, UTA, TACC, Wavecom
HPC+HPDAERASMUS+, 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.UÉ, UCoimbra & others
SPARCITYH2020-JTIEuroHPC-2019-1, ref. 956213: An Optimization and Co-Design Framework for Sparse ComputationINESC-ID
exaFOAMH2020-JTIEuroHPC-2019-3, ref 956416: Exploitation of Exascale Systems for Open-Source Computational Fluid Dynamics by MainstreamUMinho & others
RISC2H2020 FETHPC: A network for supporting the coordination of High-Performance Computing research between Europe and Latin AmericaUCoimbra, INESCTEC & others
SENTINELNORTE2020: Novel injectable biosensor for continuous remote monitoring of cancer patients at high-risk of relapseStemmatters, LIN, UMinho, CCA, UTA
PAStorUTAustin Portugal, ref:
UTA-EXPL/CA/0075/2019: Programmable and Adaptable Storage for AI-oriented HPC Ecosystems. URL do projeto
INESCTEC, MACC, UTA, TACC
ACT-PMUTAustin Portugal, ref: UTA-EXPL/CA/0080/2019: Automating Crash-Consistency Testing for Persistent MemoryINESCTEC, INESC-ID, UTA
STREACKERUTAustin Portugal, ref: UTAP-EXPL/CA/0065/2017: Skeletal Tracking Enhanced with Anatomically Correct Kinematics for Exergames and Rehabilitation. URL do projetoINESC-ID, UTA, HFF-EPE, IDMEC