Silvina Caíno-Lores
Silvina Caíno-Lores
Adresă de e-mail confirmată pe utk.edu
Citat de
Citat de
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
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
A cloudification methodology for multidimensional analysis: Implementation and application to a railway power simulator
S Caíno-Lores, AG Fernandez, F García-Carballeira, JC Perez
Simulation Modelling Practice and Theory 55, 46-62, 2015
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
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
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
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
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
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
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
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
Reproducibility of the first image of a black hole in the galaxy M87 from the event horizon telescope (EHT) collaboration
R Patel, B Roachell, S Caino-Lores, R Ketron, J Leonard, N Tan, K Vahi, ...
Computing in Science & Engineering, 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
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, e7111, 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 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
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
Peng4nn: An accurate performance estimation engine for efficient automated neural network architecture search
AK Rorabaugh, S Caíno-Lores, MR Wyatt II, T Johnston, M Taufer
arXiv preprint arXiv:2101.04185, 2021
Data-aware support for hybrid HPC and big data applications
S Caíno-Lores, F Isaila, J Carretero
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017
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