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ORCIDSilvina Caíno-Lores
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2020 – today
- 2025
[e2]Silvina Caíno-Lores
, Demetris Zeinalipour, Thaleia Dimitra Doudali, David E. Singh, Gracia Ester Martín Garzón, Leonel Sousa, Diego Andrade, Tommaso Cucinotta, Donato D'Ambrosio, Patrick Diehl, Manuel F. Dolz, Admela Jukan, Raffaele Montella, Matteo Nardelli, Marta Garcia-Gasulla, Sarah Neuwirth:
Euro-Par 2024: Parallel Processing Workshops - Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15385, Springer 2025, ISBN 978-3-031-90199-7 [contents]- [e1]Silvina Caíno-Lores, Demetris Zeinalipour, Thaleia Dimitra Doudali, David E. Singh, Gracia Ester Martín Garzón, Leonel Sousa, Diego Andrade, Tommaso Cucinotta, Donato D'Ambrosio, Patrick Diehl, Manuel F. Dolz, Admela Jukan, Raffaele Montella, Matteo Nardelli, Marta Garcia-Gasulla, Sarah Neuwirth:
Euro-Par 2024: Parallel Processing Workshops - Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15386, Springer 2025, ISBN 978-3-031-90202-4 [contents] - 2024
- [c19]Renan Souza, Silvina Caíno-Lores, Mark Coletti, Tyler J. Skluzacek, Alexandru Costan, Frédéric Suter, Marta Mattoso, Rafael Ferreira da Silva:
Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI. e-Science 2024: 1-7 - [c18]Silvina Caíno-Lores, Daniel Claudino, Eugene F. Dumitrescu, Travis S. Humble, Sonia Lopez Alarcon, Elaine Wong:
Rethinking Programming Paradigms in the QC-HPC Context. WAMTA 2024: 84-91 - [i7]Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A. Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent:
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024) - 2023
- [j10]Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Performance assessment of ensembles of in situ workflows under resource constraints. Concurr. Comput. Pract. Exp. 35(20) (2023) - [j9]Chaitanya Afle, Patrick R. Miles, Silvina Caíno-Lores, Collin D. Capano, Ingo Tews, Karan Vahi, Ewa Deelman, Michela Taufer, Duncan A. Brown:
Reproducing the Results for Neutron Star Interior Composition Explorer Observation of PSR J0030 + 0451. Comput. Sci. Eng. 25(6): 16-26 (2023) - [c17]Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack Marquez, Ewa Deelman, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada:
Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. e-Science 2023: 1-10 - [c16]Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer:
Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification. ICPP 2023: 1 - [c15]Silvina Caíno-Lores, Michel A. Cuendet, Jack Marquez, Ekaterina D. Kots, Trilce Estrada, Ewa Deelman, Harel Weinstein, Michela Taufer:
Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables. PASC 2023: 21:1-21:11 - [c14]Jonathan Bader, Jim Belak, Matthew T. Bement, Matthew Berry, Robert Carson, Daniela Cassol, Stephen Chan, John Coleman, Kastan Day, Alejandro Duque, Kjiersten Fagnan, Jeff Froula, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Caíno-Lores, Anirban Mandal:
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. SC Workshops 2023: 2097-2108 - [i6]Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - [i5]Chaitanya Afle, Patrick R. Miles, Silvina Caíno-Lores, Collin D. Capano, Ingo Tews, Karan Vahi, Ewa Deelman, Michela Taufer, Duncan A. Brown:
Reproducing the results for NICER observation of PSR J0030+0451. CoRR abs/2304.01035 (2023) - 2022
- [j8]Ria Patel, Brandan Roachell, Silvina Caíno-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Karan Vahi, Duncan A. Brown, Ewa Deelman, Michela Taufer:
Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration. Comput. Sci. Eng. 24(5): 42-52 (2022) - [j7]Stephen Herbein, Tapasya Patki, Dong H. Ahn, Sebastian Mobo, Clark Hathaway, Silvina Caíno-Lores, James Corbett, David Domyancic, Thomas R. W. Scogland, Bronis R. de Supinski, Michela Taufer:
An analytical performance model of generalized hierarchical scheduling. Int. J. High Perform. Comput. Appl. 36(3): 289-306 (2022) - [j6]Ariel Keller Rorabaugh, Silvina Caíno-Lores, Travis Johnston, Michela Taufer:
Building High-Throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine. IEEE Trans. Parallel Distributed Syst. 33(11): 2913-2926 (2022) - [c13]Paula Olaya, Silvina Caíno-Lores, Vanessa Lama, Ria Patel, Ariel Keller Rorabaugh, Osamu Miyashita, Florence Tama, Michela Taufer:
Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns. e-Science 2022: 21-31 - [c12]Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer:
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets. e-Science 2022: 389-390 - [c11]Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer:
Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows. e-Science 2022: 421-422 - [c10]Jakob Lüttgau, Silvina Caíno-Lores, Kae Suarez, Dong H. Ahn, Stephen Herbein, Michela Taufer:
Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling. e-Science 2022: 450-455 - [c9]Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Frédéric Suter, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Co-scheduling Ensembles of In Situ Workflows. WORKS@SC 2022: 43-51 - [i4]Ria Patel, Brandan Roachell, Silvina Caíno-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Duncan A. Brown, Ewa Deelman, Michela Taufer:
Reproducibility of the First Image of a Black Hole in the Galaxy M87 from the Event Horizon Telescope (EHT) Collaboration. CoRR abs/2205.10267 (2022) - [i3]Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Frédéric Suter, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Co-scheduling Ensembles of In Situ Workflows. CoRR abs/2208.09190 (2022) - 2021
- [j5]Tu Mai Anh Do, Loïc Pottier, Silvina Caíno-Lores, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman:
A lightweight method for evaluating in situ workflow efficiency. J. Comput. Sci. 48: 101259 (2021) - [c8]Ross Ketron, Jacob Leonard, Brandan Roachell, Ria Patel, R. White, Silvina Caíno-Lores, Nigel Tan, Patrick R. Miles, Karan Vahi, Ewa Deelman, Duncan A. Brown, Michela Taufer:
A Case Study in Scientific Reproducibility from the Event Horizon Telescope (EHT). e-Science 2021: 249-250 - [c7]Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Assessing Resource Provisioning and Allocation of Ensembles of In Situ Workflows. ICPP Workshops 2021: 38:1-38:10 - [i2]Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt II, Travis Johnston, Michela Taufer:
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search. CoRR abs/2101.04185 (2021) - [i1]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - 2020
- [j4]Silvina Caíno-Lores, Andrei Lapin, Jesús Carretero, Peter G. Kropf:
Applying big data paradigms to a large scale scientific workflow: Lessons learned and future directions. Future Gener. Comput. Syst. 110: 440-452 (2020)
2010 – 2019
- 2019
- [j3]Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka:
Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access 7: 156929-156955 (2019) - 2018
- [c6]Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka:
Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models. BDCAT 2018: 1-10 - 2017
- [j2]Silvina Caíno-Lores, Alberto García Fernández, Félix García Carballeira, Jesús Carretero:
Efficient design assessment in the railway electric infrastructure domain using cloud computing. Integr. Comput. Aided Eng. 24(1): 57-72 (2017) - [c5]Silvina Caíno-Lores, Florin Isaila, Jesús Carretero:
Data-Aware Support for Hybrid HPC and Big Data Applications. CCGrid 2017: 719-722 - 2016
- [c4]Silvina Caíno-Lores, Andrei Lapin, Peter G. Kropf, Jesús Carretero:
Methodological Approach to Data-Centric Cloudification of Scientific Iterative Workflows. ICA3PP 2016: 469-482 - [c3]Silvina Caíno-Lores, Andrei Lapin, Peter G. Kropf, Jesús Carretero:
Lessons Learned from Applying Big Data Paradigms to Large Scale Scientific Workflows. WORKS@SC 2016: 54-58 - 2015
- [j1]Silvina Caíno-Lores, Alberto García Fernández, Félix García Carballeira, Jesús Carretero Pérez:
A cloudification methodology for multidimensional analysis: Implementation and application to a railway power simulator. Simul. Model. Pract. Theory 55: 46-62 (2015) - [c2]Jesús Carretero, Silvina Caíno-Lores, Félix García Carballeira, Alberto García Fernández:
A Multi-Objective Simulator for Optimal Power Dimensioning on Electric Railways using Cloud Computing. SIMULTECH 2015: 428-438 - 2014
- [c1]Silvina Caíno-Lores, Alberto García Fernández, Félix García Carballeira, Jesús Carretero:
A Cloudification Methodology for Numerical Simulations. Euro-Par Workshops (2) 2014: 375-386
Coauthor Index
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