Silvina Caíno-Lores

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 31

Top Topics

Neural Architecture

Scientific Workflows

Cloud Computing

Top Venues

Comput. Sci. Eng.

Publications

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)
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)
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)
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 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 (2023)
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)
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) (2023)
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)
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 (2023)
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)
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 (2022)
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) (2022)
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) (2022)
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)
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 (2022)
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)
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)
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)
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)
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) (2022)
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 (2021)
Tu Mai Anh Do, Loïc Pottier, Silvina Caíno-Lores, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman
workflow efficiency. J. Comput. Sci. 48 (2021)
R. Ketron, J. Leonard, B. Roachell, R. Patel, R. White, Silvina Caíno-Lores, N. Tan, P. 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)
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 Williams, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR (2021)
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)
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 (2020)
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 (2019)
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)
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) (2017)
Silvina Caíno-Lores, Florin Isaila, Jesús Carretero
Data-Aware Support for Hybrid HPC and Big Data Applications. CCGrid (2017)
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)
Silvina Caíno-Lores, Andrei Lapin, Peter G. Kropf, Jesús Carretero
Methodological Approach to Data-Centric Cloudification of Scientific Iterative Workflows. ICA3PP (2016)
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 (2015)
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)
Silvina Caíno-Lores, Alberto García Fernández, Félix García Carballeira, Jesús Carretero
A Cloudification Methodology for Numerical Simulations. Euro-Par Workshops (2) (2014)