关注
Silvina Caíno-Lores
Silvina Caíno-Lores
University of Rennes, Inria, CNRS, IRISA
在 inria.fr 的电子邮件经过验证
标题
引用次数
年份
(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
32021
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
222015
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
42014
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
132021
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
22022
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
22015
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
82016
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
22022
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
302020
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
42021
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
62022
Cloudification of a Legacy Hydrological Simulator using Apache Spark
P Kropf, A Lapin, J Carretero, S Caíno-Lores
XXVII Jornadas de Paralelismo, 2016
2016
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