The Competence Center in Monitoring and Control (CCMC) is
intended to:
- Gather the accumulated expertise in sensors, electronics and software used in Monitoring and Control by several experiments where LIP participate and have direct responsibilities;
- Facilitate the sharing of know how, solutions in electronic and software design among LIP persons/groups
- Establish partnerships/contracts with third parties (e.g. other laboratories, industry) where our scientific deliverables can be re-used.
- Avoid time/costs associated of development of new products.
Simulation
In 2017, the Simulation branch of the competence center undertook a survey of the GEANT4 competences at LIP. The following items were identified:
- LIP is a member of the GEANT4 collaboration for more than 10 years, accumulating an important expertise, both from the user and developer points of view, with an important know-how beyond applications development;
- LIP members hold expertise in several GEANT4 kernel categories;
- There is a potential to increase LIP’s contribution to the GEANT4 toolkit;
- LIP members undertake teaching activities in MSc and PhD level courses with some emphasis in GEANT4.
Big Data
The Big Data branch of the competence center developed a survey of the big-data and machine learning competences at LIP, and the following items were identified:
- Development of multivariate data analysis using advanced techniques (e.g. boosted decision trees, shallow and deep neural networks and principal component analysis);
- Expertise in modern tools used in HEP and beyond it (e.g. TMVA, Octave, Keras, SK-learn, Pandas, Theano, Tensorflow);
- Expertise in advanced methods for training and validation of multivariate analysis (e.g. use of accelerators such as GPUs, distributed training and cross-validation);
- Expertise in complex file systems and tools to deal with large volumes of data.

Cloud Computing
O serviço é vocacionado para aplicações que não se enquadrem nos paradigmas de computação HTC ou HPC.
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HTC Computing
Processamento sequencial de elevado débito.
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HPC Computing
Processamento paralelo de elevado desempenho.
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Email: helpdesk@incd.pt
//Coordinator
Francisco Neves
239 410 659
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Lorem Ipsum passage, and going through the cites of the word in classical literature.