Silvina Caíno-Lores
Orcid: 0000-0002-6922-0138
According to our database1,
Silvina Caíno-Lores
authored at least 33 papers
between 2014 and 2024.
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Bibliography
2024
Proceedings of the Asynchronous Many-Task Systems and Applications, 2024
2023
Reproducing the Results for Neutron Star Interior Composition Explorer Observation of PSR J0030 + 0451.
Comput. Sci. Eng., 2023
Concurr. Comput. Pract. Exp., 2023
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023
Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification.
Proceedings of the 52nd International Conference on Parallel Processing, 2023
Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
2022
Building High-Throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine.
IEEE Trans. Parallel Distributed Syst., 2022
Int. J. High Perform. Comput. Appl., 2022
Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration.
Comput. Sci. Eng., 2022
Reproducibility of the First Image of a Black Hole in the Galaxy M87 from the Event Horizon Telescope (EHT) Collaboration.
CoRR, 2022
Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022
Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
2021
J. Comput. Sci., 2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search.
CoRR, 2021
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021
Proceedings of the 17th IEEE International Conference on eScience, 2021
2020
Applying big data paradigms to a large scale scientific workflow: Lessons learned and future directions.
Future Gener. Comput. Syst., 2020
2019
Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY.
IEEE Access, 2019
2018
Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models.
Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018
2017
Efficient design assessment in the railway electric infrastructure domain using cloud computing.
Integr. Comput. Aided Eng., 2017
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017
2016
Lessons Learned from Applying Big Data Paradigms to Large Scale Scientific Workflows.
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016
Methodological Approach to Data-Centric Cloudification of Scientific Iterative Workflows.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
2015
A cloudification methodology for multidimensional analysis: Implementation and application to a railway power simulator.
Simul. Model. Pract. Theory, 2015
A Multi-Objective Simulator for Optimal Power Dimensioning on Electric Railways using Cloud Computing.
Proceedings of the SIMULTECH 2015 - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Colmar, Alsace, France, 21, 2015
2014
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014