(2020). Applying big data paradigms to a large scale scientific workflow: Lessons learned and future directions. Future Generation Computer Systems, 110, pp. 440-452. S Caíno-Lores, A Lapin, J Carretero, P Kropf | | 2020 |
2022 IEEE 18th International Conference on e-Science (e-Science)| 978-1-6654-6124-5/22/$31.00© 2022 IEEE| DOI: 10.1109/ESCIENCE55777. 2022.00096 K Abarenkov, D Abramson, C Acevedo, B Adams, A Agarwal, R Ahmad, ... | | |
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)| 978-1-6654-5191-8/22/$31.00© 2022 IEEE| DOI: 10.1109/WORKS56498. 2022.00017 I Abhinit, EK Adams, K Alam, A Alsaadi, A Amza, RM Badia, ... | | |
A case study in scientific reproducibility from the Event Horizon Telescope (EHT) R Ketron, J Leonard, B Roachell, R Patel, R White, S Caíno-Lores, N Tan, ... 2021 IEEE 17th International Conference on eScience (eScience), 249-250, 2021 | 3 | 2021 |
A cloudification methodology for multidimensional analysis: Implementation and application to a railway power simulator S Caíno-Lores, AG Fernandez, F Garcia-Carballeira, JC Perez Simulation Modelling Practice and Theory 55, 46-62, 2015 | 22 | 2015 |
A Cloudification Methodology for Numerical Simulations S Caíno-Lores, A García, F García-Carballeira, J Carretero Euro-Par 2014: Parallel Processing Workshops, 375-386, 2014 | 4 | 2014 |
A lightweight method for evaluating in situ workflow efficiency TMA Do, L Pottier, S Caíno-Lores, RF da Silva, MA Cuendet, H Weinstein, ... Journal of Computational Science 48, 101259, 2021 | 13 | 2021 |
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets R Patel, AK Rorabaugh, P Olaya, S Caino-Lores, G Channing, ... 2022 IEEE 18th International Conference on e-Science (e-Science), 389-390, 2022 | 2 | 2022 |
A multi-objective simulator for optimal power dimensioning on electric railways using cloud computing J Carretero, S Caíno-Lores, A García, F García-Carballeira 5th International Conference on Simulation and Modeling Methodologies …, 2015 | 2 | 2015 |
A Multi-Objective Simulator for Optimal Power Dimensioning on Electric Railways using Cloud Computing AG Fernández, SC Lores, F Garcıa-Carballeira, J Carretero | | 2015 |
A survey on data-centric and data-aware techniques for large scale infrastructures S Caíno-Lores, J Carretero International Journal of Computer and Information Engineering 10 (3), 517-523, 2016 | 8 | 2016 |
ADAPTATION, DEPLOYMENT AND EVALUATION OF A RAILWAY SIMULATOR IN CLOUD ENVIRONMENTS SC Lores | | 2014 |
Adaptation, deployment and evaluation of a railway simulator in cloud environments. S Caíno-Lores Universidad Carlos III de Madrid, 2014 | | 2014 |
An analytical performance model of generalized hierarchical scheduling S Herbein, T Patki, DH Ahn, S Mobo, C Hathaway, S Caíno-Lores, ... The International Journal of High Performance Computing Applications 36 (3 …, 2022 | 2 | 2022 |
Applying big data paradigms to a large scale scientific workflow: Lessons learned and future directions S Caíno-Lores, A Lapin, J Carretero, P Kropf Future Generation Computer Systems 110, 440-452, 2020 | 30 | 2020 |
Assessing resource provisioning and allocation of ensembles of in situ workflows TMA Do, L Pottier, R Ferreira da Silva, S Caíno-Lores, M Taufer, ... 50th International Conference on Parallel Processing Workshop, 1-10, 2021 | 4 | 2021 |
BDCAT 2018 S Caíno-Lores, J Carretero, S Kukreti, F Mueller, S Burdick, J Risner, ... | | |
Breaking data dependences in numerical simulations using Map-Reduce S Caíno-Lores, AG Fernández, F Garcıa-Carballeira, JC Pérez | | 2014 |
Building high-throughput neural architecture search workflows via a decoupled fitness prediction engine AK Rorabaugh, S Caino-Lores, T Johnston, M Taufer IEEE Transactions on Parallel and Distributed Systems 33 (11), 2913-2926, 2022 | 6 | 2022 |
Cloudification of a Legacy Hydrological Simulator using Apache Spark P Kropf, A Lapin, J Carretero, S Caíno-Lores XXVII Jornadas de Paralelismo, 2016 | | 2016 |