| 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 | 25 | 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 | 19 | 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 | 17 | 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 | 15 | 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 | 14 | 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 | 10 | 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 | 9 | 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 | 9 | 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 | 8 | 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 | 7 | 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 | 5 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 3 | 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 | 3 | 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 | 3 | 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 | 2 | 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 | 2 | 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 | 2 | 2017 |
Jesus CarreteroUniversidad Carlos III de MAdridAdresă de e-mail confirmată pe inf.uc3m.es
