受强制性开放获取政策约束的文章 - Silvina Caíno-Lores了解详情
无法在其他位置公开访问的文章：6 篇
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
强制性开放获取政策： European Commission, Government of Spain
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
强制性开放获取政策： European Commission, Government of Spain
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
强制性开放获取政策： Government of Spain
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
强制性开放获取政策： European Commission, Government of Spain
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
强制性开放获取政策： Government of Spain
Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling
J Luettgau, S Caino-Lores, K Suarez, DH Ahn, S Herbein, M Taufer
2022 IEEE 18th International Conference on e-Science (e-Science), 450-455, 2022
强制性开放获取政策： US National Science Foundation
可在其他位置公开访问的文章：26 篇
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, Government of Spain
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, Government of Spain
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
强制性开放获取政策： US National Science Foundation, US Department of Energy
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
强制性开放获取政策： European Commission, Government of Spain
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
强制性开放获取政策： European Commission, Government of Spain
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation, US Department of Energy
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
强制性开放获取政策： US National Science Foundation, US Department of Energy
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
强制性开放获取政策： US National Science Foundation, US Department of Energy
Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI
R Souza, S Caino-Lores, M Coletti, TJ Skluzacek, A Costan, F Suter, ...
2024 IEEE 20th International Conference on e-Science (e-Science), 1-7, 2024
强制性开放获取政策： Agence Nationale de la Recherche
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments
J Bader, J Belak, M Bement, M Berry, R Carson, D Cassol, S Chan, ...
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
强制性开放获取政策： US National Science Foundation, US Department of Energy, European Commission
Runtime steering of molecular dynamics simulations through in situ analysis and annotation of collective variables
S Caino-Lores, M Cuendet, J Marquez, E Kots, T Estrada, E Deelman, ...
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-11, 2023
强制性开放获取政策： US National Science Foundation
Co-scheduling ensembles of in situ workflows
TMA Do, L Pottier, RF da Silva, F Suter, S Caíno-Lores, M Taufer, ...
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS …, 2022
强制性开放获取政策： US National Science Foundation, US Department of Energy
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
强制性开放获取政策： US National Science Foundation, US Department of Energy
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