Silvina Caíno-Lores
Silvina Caíno-Lores
University of Rennes, Inria, CNRS, IRISA
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Cited by
Cited by
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
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
Spark-diy: A framework for interoperable spark operations with high performance block-based data models
S Caíno-Lores, J Carretero, B Nicolae, O Yildiz, T Peterka
2018 IEEE/ACM 5th International Conference on Big Data Computing …, 2018
Workflows community summit 2022: A roadmap revolution
RF da Silva, RM Badia, V Bala, D Bard, PT Bremer, I Buckley, ...
arXiv preprint arXiv:2304.00019, 2023
Workflows community summit: Advancing the state-of-the-art of scientific workflows management systems research and development
RF da Silva, H Casanova, K Chard, T Coleman, D Laney, D Ahn, S Jha, ...
arXiv preprint arXiv:2106.05177, 2021
Toward high-performance computing and big data analytics convergence: The case of spark-diy
S Caino-Lores, J Carretero, B Nicolae, O Yildiz, T Peterka
IEEE Access 7, 156929-156955, 2019
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
Efficient design assessment in the railway electric infrastructure domain using cloud computing
S Caíno-Lores, A García, F García-Carballeira, J Carretero
Integrated Computer-Aided Engineering 24 (1), 57-72, 2017
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
Lessons Learned from Applying Big Data Paradigms to a Large Scale Scientific Workflow
S Caíno-Lores, A Lapin, P Kropf, J Carretero
11th Workshop on Workflows in Support of Large-Scale Science (WORKS 2016), 2016
Reproducibility of the first image of a black hole in the Galaxy M87 from the Event Horizon Telescope Collaboration
R Patel, B Roachell, S Caino-Lores, R Ketron, J Leonard, N Tan, K Vahi, ...
Computing in Science & Engineering 24 (5), 42-52, 2022
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
High frequency accuracy and loss data of random neural networks trained on image datasets
AK Rorabaugh, S Caíno-Lores, T Johnston, M Taufer
Data in Brief 40, 107780, 2022
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
Performance assessment of ensembles of in situ workflows under resource constraints
TMA Do, L Pottier, R Ferreira da Silva, S Caíno‐Lores, M Taufer, ...
Concurrency and Computation: Practice and Experience 35 (20), e7111, 2023
Methodological approach to data-centric cloudification of scientific iterative workflows
S Caíno-Lores, A Lapin, P Kropf, J Carretero
International Conference on Algorithms and Architectures for Parallel …, 2016
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
Workflows Community Summit 2022: A Roadmap Revolution
R Ferreira Da Silva, R Badia, V Bala, D Bard, PT Bremer, I Buckley, ...
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023
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
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
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