Silvina Caíno-Lores

According to our database, Silvina Caíno-Lores authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.

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

CoRR, 2024

Rethinking Programming Paradigms in the QC-HPC Context.

Silvina Caíno-Lores, Daniel Claudino, Eugene F. Dumitrescu, Travis S. Humble, Sonia Lopez Alarcon, Elaine Wong

Proceedings of the Asynchronous Many-Task Systems and Applications, 2024

Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI.

Renan Souza, Silvina Caíno-Lores, Mark Coletti, Tyler J. Skluzacek, Alexandru Costan, Frédéric Suter, Marta Mattoso, Rafael Ferreira da Silva

Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023

Reproducing the Results for Neutron Star Interior Composition Explorer Observation of PSR J0030 + 0451.

Chaitanya Afle, Patrick R. Miles, Silvina Caíno-Lores, Collin D. Capano, Ingo Tews, Karan Vahi, Ewa Deelman, Michela Taufer, Duncan A. Brown

Comput. Sci. Eng., 2023

Reproducing the results for NICER observation of PSR J0030+0451.

Chaitanya Afle, Patrick R. Miles, Silvina Caíno-Lores, Collin D. Capano, Ingo Tews, Karan Vahi, Ewa Deelman, Michela Taufer, Duncan A. Brown

CoRR, 2023

Workflows Community Summit 2022: A Roadmap Revolution.

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.

CoRR, 2023

Performance assessment of ensembles of in situ workflows under resource constraints.

Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman

Concurr. Comput. Pract. Exp., 2023

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments.

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

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.

Silvina Caíno-Lores, Michel A. Cuendet, Jack Marquez, Ekaterina D. Kots, Trilce Estrada, Ewa Deelman, Harel Weinstein, Michela Taufer

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification.

Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer

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.

Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack Marquez, Ewa Deelman, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada

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.

Ariel Keller Rorabaugh, Silvina Caíno-Lores, Travis Johnston, Michela Taufer

IEEE Trans. Parallel Distributed Syst., 2022

An analytical performance model of generalized hierarchical scheduling.

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

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.

Ria Patel, Brandan Roachell, Silvina Caíno-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Karan Vahi, Duncan A. Brown, Ewa Deelman, Michela Taufer

Comput. Sci. Eng., 2022

Reproducibility of the First Image of a Black Hole in the Galaxy M87 from the Event Horizon Telescope (EHT) Collaboration.

Ria Patel, Brandan Roachell, Silvina Caíno-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Duncan A. Brown, Ewa Deelman, Michela Taufer

CoRR, 2022

Co-scheduling Ensembles of In Situ Workflows.

Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Frédéric Suter, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman

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.

Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.

Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns.

Paula Olaya, Silvina Caíno-Lores, Vanessa Lama, Ria Patel, Ariel Keller Rorabaugh, Osamu Miyashita, Florence Tama, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling.

Jakob Lüttgau, Silvina Caíno-Lores, Kae Suarez, Dong H. Ahn, Stephen Herbein, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

A lightweight method for evaluating <i>in situ</i> workflow efficiency.

Tu Mai Anh Do, Loïc Pottier, Silvina Caíno-Lores, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman

J. Comput. Sci., 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.

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

CoRR, 2021

PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search.

Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt II, Travis Johnston, Michela Taufer

CoRR, 2021

Assessing Resource Provisioning and Allocation of Ensembles of In Situ Workflows.

Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

A Case Study in Scientific Reproducibility from the Event Horizon Telescope (EHT).

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

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.

Silvina Caíno-Lores, Andrei Lapin, Jesús Carretero, Peter G. Kropf

Future Gener. Comput. Syst., 2020

2019

Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY.

Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka

IEEE Access, 2019

2018

Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models.

Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka

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.

Silvina Caíno-Lores, Alberto García Fernández, Félix García Carballeira, Jesús Carretero

Integr. Comput. Aided Eng., 2017

Data-Aware Support for Hybrid HPC and Big Data Applications.

Silvina Caíno-Lores, Florin Isaila, Jesús Carretero

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

Lessons Learned from Applying Big Data Paradigms to Large Scale Scientific Workflows.

Silvina Caíno-Lores, Andrei Lapin, Peter G. Kropf, Jesús Carretero

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.

Silvina Caíno-Lores, Andrei Lapin, Peter G. Kropf, Jesús Carretero

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.

Silvina Caíno-Lores, Alberto García Fernández, Félix García Carballeira, Jesús Carretero Pérez

Simul. Model. Pract. Theory, 2015

A Multi-Objective Simulator for Optimal Power Dimensioning on Electric Railways using Cloud Computing.

Jesús Carretero, Silvina Caíno-Lores, Félix García Carballeira, Alberto García Fernández

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

A Cloudification Methodology for Numerical Simulations.

Silvina Caíno-Lores, Alberto García Fernández, Félix García Carballeira, Jesús Carretero

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014