Lozada, Ignacio Peluaga - Search Results

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ARCHIVER - Data archiving and preservation for research environments / Devouassoux, Marion (CERN) ; Fernandes, João (CERN) ; Jones, Bob (CERN) ; Lozada, Ignacio Peluaga (CERN) ; Urban, Jakub (CERN)
Over the last decades, several data preservation efforts have been undertaken by the HEP community, as experiments are not repeatable and consequently their data considered unique. ARCHIVER is a European Commission (EC) co-funded Horizon 2020 pre-commercial procurement project procuring R&D; combining multiple ICT technologies including data-intensive scalability, network, service interoperability and business models, in a hybrid cloud environment. [...]
2021 - 10 p. - Published in : EPJ Web Conf. 251 (2021) 02044 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02044

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Accelerating GAN training using highly parallel hardware on public cloud / Cardoso, Renato (CERN) ; Golubovic, Dejan (CERN) ; Lozada, Ignacio Peluaga (CERN) ; Rocha, Ricardo (CERN) ; Fernandes, João (CERN) ; Vallecorsa, Sofia (CERN)
With the increasing number of Machine and Deep Learning applications in High Energy Physics, easy access to dedicated infrastructure represents a requirement for fast and efficient R&D.; This work explores different types of cloud services to train a Generative Adversarial Network (GAN) in a parallel environment, using Tensorflow data parallel strategy. More specifically, we parallelize the training process on multiple GPUs and Google Tensor Processing Units (TPU) and we compare two algorithms: the TensorFlow built-in logic and a custom loop, optimised to have higher control of the elements assigned to each GPU worker or TPU core. [...]
arXiv:2111.04628.- 2021 - 11 p. - Published in : EPJ Web Conf. 251 (2021) 02073 Fulltext: 2111.04628 - PDF; document - PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02073

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