Rosa M. Badia

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 92

Top Venues

CoRR

Future Gener. Comput. Syst.

Int. J. High Perform. Comput. Appl.

J. Grid Comput.

Publications

Sameh Abdulah, Jorge Ejarque, Omar Marzouk, Hatem Ltaief, Ying Sun, Marc G. Genton, Rosa M. Badia, David E. Keyes
Portability and scalability evaluation of large-scale statistical modeling and prediction software through HPC-ready containers. Future Gener. Comput. Syst. 161 (2024)
Rafael Ferreira da Silva, Rosa M. Badia, Deborah Bard, Ian T. Foster, Shantenu Jha, Frédéric Suter
Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing. Computer 57 (8) (2024)
Loris Belcastro, Salvatore Giampà, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Nihad Mammadli
Boosting HPC data analysis performance with the ParSoDA-Py library. J. Supercomput. 80 (8) (2024)
Orcun Yildiz, Amal Gueroudji, Julien Bigot, Bruno Raffin, Rosa M. Badia, Tom Peterka
Extreme-scale workflows: A perspective from the JLESC international community. Future Gener. Comput. Syst. 161 (2024)
Marcos N. L. Carvalho, Anna Queralt, Oscar Romero, Alkis Simitsis, Cristian Tatu, Rosa M. Badia
Performance Analysis of Distributed GPU-Accelerated Task-Based Workflows. EDBT (2024)
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez-Novoa
Block size estimation for data partitioning in HPC applications using machine learning techniques. J. Big Data 11 (1) (2024)
Rolando P. Hong Enriquez, Rosa M. Badia, Barbara M. Chapman, Kirk Bresniker, Scott Pakin, Alok Mishra, Pedro Bruel, Aditya Dhakal, Gourav Rattihalli, Ninad Hogade, Eitan Frachtenberg, Dejan S. Milojicic
Quantum optimization algorithms: Energetic implications. Concurr. Comput. Pract. Exp. 36 (16) (2024)
Sameh Abdulah, Jorge Ejarque, Omar Marzouk, Hatem Ltaief, Ying Sun, Marc G. Genton, Rosa M. Badia, David E. Keyes
Portability and Scalability Evaluation of Large-Scale Statistical Modeling and Prediction Software through HPC-Ready Containers. CoRR (2023)
Rosa M. Badia, Laure Berti-Équille, Rafael Ferreira da Silva, Ulf Leser
Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352). Dagstuhl Reports 13 (8) (2023)
Fernando Vázquez-Novoa, Javier Conejero, Cristian Tatu, Rosa M. Badia
Scalable Random Forest with Data-Parallel Computing. Euro-Par (2023)
Jorge Ejarque, Rosa M. Badia
Automatizing the creation of specialized high-performance computing containers. Int. J. High Perform. Comput. Appl. 37 (3-4) (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)
Arnau Folch, Claudia Abril, Michael Afanasiev, Giorgio Amati, Michael Bader, Rosa M. Badia, Hafize B. Bayraktar, Sara Barsotti, Roberto Basili, Fabrizio Bernardi, Christian Boehm, Beatriz Brizuela, Federico Brogi, Eduardo Cabrera, Emanuele Casarotti, Manuel J. Castro, Matteo Cerminara, Antonella Cirella, Alexey Cheptsov, Javier Conejero, Antonio Costa, Marc de la Asunción, Josep de la Puente, Marco Djuric, Ravil Dorozhinskii, Gabriela Espinosa, Tomaso Esposti Ongaro, Joan Farnós, Nathalie Favretto-Cristini, Andreas Fichtner, Alexandre Fournier, Alice-Agnes Gabriel, Jean-Matthieu Gallard, Steven J. Gibbons, Sylfest Glimsdal, José Manuel González-Vida, José Gracia, Rose Gregorio, Natalia Gutiérrez, Benedikt Halldorsson, Okba Hamitou, Guillaume Houzeaux, Stephan Jaure, Mouloud Kessar, Lukas Krenz, Lion Krischer, Soline Laforet, Piero Lanucara, Bo Li, Maria Concetta Lorenzino, Stefano Lorito, Finn Løvholt, Giovanni Macedonio, Jorge Macías Sánchez, Guillermo Marin, Beatriz Martínez Montesinos, Leonardo Mingari, Geneviève Moguilny, Vadim Montellier, Marisol Monterrubio Velasco, Georges-Emmanuel Moulard, Masaru Nagaso, Massimo Nazaria, Christoph Niethammer, Federica Pardini, Marta Pienkowska, Luca Pizzimenti, Natalia Poiata, Leonhard Rannabauer, Otilio Rojas, Juan Esteban Rodriguez, Fabrizio Romano, Oleksandr Rudyy, Vittorio Ruggiero, Philipp Samfass, Carlos Sánchez-Linares, Sabrina Sanchez, Laura Sandri, Antonio Scala, Nathanaël Schaeffer, Joseph Schuchart, Jacopo Selva, Amadine Sergeant, Angela Stallone, Matteo Taroni, Solvi Thrastarson, Manuel Titos, Nadia Tonelllo, Roberto Tonini, Thomas Ulrich, Jean-Pierre Vilotte, Malte Vöge, Manuela Volpe, Sara Aniko Wirp, Uwe Wössner
The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase. Future Gener. Comput. Syst. 146 (2023)
Rosa M. Badia
Special Issue 19th international workshop on algorithms, models and tools for parallel computing on heterogeneous platforms (HeteroPar'21). Concurr. Comput. Pract. Exp. 35 (20) (2023)
Francesc Lordan, Gabriel Puigdemunt, Pere Vergés, Javier Conejero, Jorge Ejarque, Rosa M. Badia
Hierarchical Management of Extreme-Scale Task-Based Applications. Euro-Par (2023)
Rosa M. Badia, Ian T. Foster, Dejan S. Milojicic
Future of HPC. IEEE Internet Comput. 27 (1) (2023)
Rosa M. Badia, Javier Conejero, Jorge Ejarque, Daniele Lezzi, Francesc Lordan
PyCOMPSs as an Instrument for Translational Computer Science. Comput. Sci. Eng. 24 (2) (2022)
Raül Sirvent, Javier Conejero, Francesc Lordan, Jorge Ejarque, Laura Rodríguez-Navas, José María Fernández, Salvador Capella-Gutiérrez, Rosa M. Badia
Automatic, Efficient and Scalable Provenance Registration for FAIR HPC Workflows. WORKS@SC (2022)
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez
Block size estimation for data partitioning in HPC applications using machine learning techniques. CoRR (2022)
Jorge Ejarque, Rosa M. Badia, Loïc Albertin, Giovanni Aloisio, Enrico Baglione, Yolanda Becerra, Stefan Boschert, Julian R. Berlin, Alessandro D'Anca, Donatello Elia, François Exertier, Sandro Fiore, José Flich, Arnau Folch, Steven J. Gibbons, Nikolay Koldunov, Francesc Lordan, Stefano Lorito, Finn Løvholt, Jorge Macías Sánchez, Fabrizio Marozzo, Alberto Michelini, Marisol Monterrubio Velasco, Marta Pienkowska, Josep de la Puente, Anna Queralt, Enrique S. Quintana-Ortí, Juan Esteban Rodriguez, Fabrizio Romano, Riccardo Rossi, Jedrzej Rybicki, Miroslaw Kupczyk, Jacopo Selva, Domenico Talia, Roberto Tonini, Paolo Trunfio, Manuela Volpe
Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence. Future Gener. Comput. Syst. 134 (2022)
Jorge Ejarque, Rosa M. Badia, Loïc Albertin, Giovanni Aloisio, Enrico Baglione, Yolanda Becerra, Stefan Boschert, Julian R. Berlin, Alessandro D'Anca, Donatello Elia, François Exertier, Sandro Fiore, José Flich, Arnau Folch, Steven J. Gibbons, Nikolay Koldunov, Francesc Lordan, Stefano Lorito, Finn Løvholt, Jorge Macías Sánchez, Fabrizio Marozzo, Alberto Michelini, Marisol Monterrubio Velasco, Marta Pienkowska, Josep de la Puente, Anna Queralt, Enrique S. Quintana-Ortí, Juan Esteban Rodriguez, Fabrizio Romano, Riccardo Rossi, Jedrzej Rybicki, Miroslaw Kupczyk, Jacopo Selva, Domenico Talia, Roberto Tonini, Paolo Trunfio, Manuela Volpe
Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence. CoRR (2022)
Pere Vergés, Francesc Lordan, Jorge Ejarque, Rosa M. Badia
Task-Level Checkpointing System for Task-Based Parallel Workflows. Euro-Par Workshops (2022)
Jorge Ejarque, Pau Andrio, Adam Hospital, Javier Conejero, Daniele Lezzi, Josep Lluis Gelpí, Rosa M. Badia
The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows. CoRR (2022)
Hatem Elshazly, Jorge Ejarque, Rosa M. Badia
Storage-Heterogeneity Aware Task-based Programming Models to Optimize I/O Intensive Applications. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Sergio Sánchez Ramírez, Javier Conejero, Francesc Lordan, Anna Queralt, Toni Cortes, Rosa M. Badia, Artur García-Sáez
RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation. CoRR (2022)
Rosa M. Badia, Ian T. Foster, Dejan S. Milojicic
More Real Than Real: The Race to Simulate Everything. Computer 55 (7) (2022)
Jorge Ejarque, Pau Andrio, Adam Hospital, Javier Conejero, Daniele Lezzi, Josep Lluis Gelpí, Rosa M. Badia
The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows. e-Science (2022)
Hatem Elshazly, Jorge Ejarque, Francesc Lordan, Rosa M. Badia
Towards enabling I/O awareness in task-based programming models. Future Gener. Comput. Syst. 121 (2021)
Rosa M. Badia
Superscalar Programming Models: A Perspective from Barcelona. HPDC (2021)
Francesc Lordan, Daniele Lezzi, Rosa M. Badia
Colony: Parallel Functions as a Service on the Cloud-Edge Continuum. Euro-Par (2021)
Cristian Ramon-Cortes, Pol Álvarez, Francesc Lordan, Javier Álvarez, Jorge Ejarque, Rosa M. Badia
A survey on the Distributed Computing stack. Comput. Sci. Rev. 42 (2021)
Hatem Elshazly, Jorge Ejarque, Francesc Lordan, Rosa M. Badia
Towards Enabling I/O Awareness in Task-based Programming Models. CoRR (2021)
Riccardo Tosi, Ramon Amela, Rosa M. Badia, Riccardo Rossi
A Parallel Dynamic Asynchronous Framework for Uncertainty Quantification by Hierarchical Monte Carlo Algorithms. J. Sci. Comput. 89 (1) (2021)
Hamta Sedghani, Danilo Ardagna, Matteo Matteucci, Giulio Angelo Fontana, Giacomo Verticale, Fabrizio Amarilli, Rosa M. Badia, Daniele Lezzi, Ignacio Blanquer, André Martin, Konrad Wawruch
Advancing Design and Runtime Management of AI Applications with AI-SPRINT (Position Paper). COMPSAC (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
A Community Roadmap for Scientific Workflows Research and Development. WORKS (2021)
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. CoRR (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR (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)
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. HPDC (2021)
Lucas M. Ponce, Daniele Lezzi, Rosa M. Badia, Dorgival O. Guedes
DDF Library: Enabling functional programming in a task-based model. J. Parallel Distributed Comput. 151 (2021)
Hatem Elshazly, Francesc Lordan, Jorge Ejarque, Rosa M. Badia
Accelerated execution via eager-release of dependencies in task-based workflows. Int. J. High Perform. Comput. Appl. 35 (4) (2021)
Javier Álvarez Cid-Fuentes, Pol Álvarez, Salvi Solà, Kuninori Ishii, Rafael K. Morizawa, Rosa M. Badia
ds-array: A Distributed Data Structure for Large Scale Machine Learning. CoRR (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
A Community Roadmap for Scientific Workflows Research and Development. CoRR (2021)
Cristian Ramon-Cortes, Ramon Amela, Jorge Ejarque, Philippe Clauss, Rosa M. Badia
AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python. Int. J. High Perform. Comput. Appl. 34 (6) (2020)
Jorge Ejarque, Marta Bertran, Javier Álvarez Cid-Fuentes, Javier Conejero, Rosa M. Badia
Managing Failures in Task-Based Parallel Workflows in Distributed Computing Environments. Euro-Par (2020)
Richard E. Kavanagh, Karim Djemame, Jorge Ejarque, Rosa M. Badia, David García-Pérez
Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures. IEEE Trans. Sustain. Comput. 5 (1) (2020)
Rosa M. Badia, Jorge Ejarque, Francesc Lordan, Daniele Lezzi, Javier Conejero, Javier Álvarez Cid-Fuentes, Yolanda Becerra, Anna Queralt
Workflow environments for advanced cyberinfrastructure platforms. CoRR (2020)
Clément Foyer, Javier Conejero, Jorge Ejarque, Rosa M. Badia, Adrian Tate, Simon McIntosh-Smith
Enabling System Wide Shared Memory for Performance Improvement in PyCOMPSs Applications. PyHPC@SC (2020)
Cristian Ramon-Cortes, Francesc Lordan, Jorge Ejarque, Rosa M. Badia
A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one. CoRR (2020)
Hatem Elshazly, Francesc Lordan, Jorge Ejarque, Rosa M. Badia
Performance Meets Programmabilty: Enabling Native Python MPI Tasks In PyCOMPSs. PDP (2020)
Javier Álvarez Cid-Fuentes, Pol Álvarez, Ramon Amela, Kuninori Ishii, Rafael K. Morizawa, Rosa M. Badia
Efficient development of high performance data analytics in Python. Future Gener. Comput. Syst. 111 (2020)
Cristian Ramon-Cortes, Francesc Lordan, Jorge Ejarque, Rosa M. Badia
A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one. Future Gener. Comput. Syst. 113 (2020)
Elvis Rojas, Albert Njoroge Kahira, Esteban Meneses, Leonardo Bautista-Gomez, Rosa M. Badia
A Study of Checkpointing in Large Scale Training of Deep Neural Networks. CoRR (2020)
Javier Álvarez Cid-Fuentes, Salvi Solà, Pol Álvarez, Alfred Castro-Ginard, Rosa M. Badia
dislib: Large Scale High Performance Machine Learning in Python. eScience (2019)
Kallia Chronaki, Miquel Moretó, Marc Casas, Alejandro Rico, Rosa M. Badia, Eduard Ayguadé, Mateo Valero
On the maturity of parallel applications for asymmetric multi-core processors. J. Parallel Distributed Comput. 127 (2019)
Lucas M. Ponce, Walter dos Santos, Wagner Meira Jr., Dorgival O. Guedes, Daniele Lezzi, Rosa M. Badia
Upgrading a high performance computing environment for massive data processing. J. Internet Serv. Appl. 10 (1) (2019)
Lucas M. Ponce, Daniele Lezzi, Rosa M. Badia, Dorgival O. Guedes
Extension of a Task-Based Model to Functional Programming. SBAC-PAD (2019)
Jorge Ejarque, Marc Domínguez, Rosa M. Badia
A hierarchic task-based programming model for distributed heterogeneous computing. Int. J. High Perform. Comput. Appl. 33 (5) (2019)
Xavi Masip-Bruin, Eva Marín-Tordera, Ana Juan Ferrer, Antonio Salis, John Kennedy, Jens Jensen, Admela Jukan, Andrea Bartoli, Rosa M. Badia, Matija Cankar, Marc-Elian Bégin
mF2C: The Evolution of Cloud Computing Towards an Open and Coordinated Ecosystem of Fogs and Clouds. Euro-Par Workshops (2019)
Andy S. Alic, Jussara M. Almeida, Giovanni Aloisio, Nazareno Andrade, Nuno Antunes, Danilo Ardagna, Rosa M. Badia, Tânia Basso, Ignacio Blanquer, Tarciso Braz, Andrey Brito, Donatello Elia, Sandro Fiore, Dorgival O. Guedes, Marco Lattuada, Daniele Lezzi, Matheus Maciel, Wagner Meira Jr., Demetrio Gomes Mestre, Regina Moraes, Fábio Morais, Carlos Eduardo S. Pires, Nádia P. Kozievitch, Walter dos Santos, Paulo Silva, Marco Vieira
BIGSEA: A Big Data analytics platform for public transportation information. Future Gener. Comput. Syst. 96 (2019)
Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka
Heterogeneous Hierarchical Workflow Composition. Comput. Sci. Eng. 21 (4) (2019)
Albert Njoroge Kahira, Leonardo Bautista-Gomez, Javier Conejero, Rosa M. Badia
Accelerating Hyperparameter Optimisation with PyCOMPSs. ICPP Workshops (2019)
Rosa M. Badia, Jorge Ejarque, Francesc Lordan, Daniele Lezzi, Javier Conejero, Javier Álvarez Cid-Fuentes, Yolanda Becerra, Anna Queralt
Workflow Environments for Advanced Cyberinfrastructure Platforms. ICDCS (2019)
Mark Asch, Terry Moore, Rosa M. Badia, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov
Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. 32 (4) (2018)
Fredy Juarez, Jorge Ejarque, Rosa M. Badia, Sergio Natan González Rocha, Oscar A. Esquivel-Flores
Energy-Aware Scheduler for HPC Parallel Task Base Applications in Cloud Computing. Int. J. Comb. Optim. Probl. Informatics 9 (1) (2018)
Francesc Lordan, Jens Jensen, Rosa M. Badia
Towards Mobile Cloud Computing with Single Sign-on Access. J. Grid Comput. 16 (4) (2018)
Rosa M. Badia
Programmability versus performance tradeoff: overcoming the hardware challenges from a task-based approach. CF (2018)
Fredy Juarez, Jorge Ejarque, Rosa M. Badia
Dynamic energy-aware scheduling for parallel task-based application in cloud computing. Future Gener. Comput. Syst. 78 (2018)
Javier Conejero, Cristian Ramon-Cortes, Kim Serradell, Rosa M. Badia
Boosting Atmospheric Dust Forecast with PyCOMPSs. eScience (2018)
Javier Conejero, Sandra Corella, Rosa M. Badia, Jesús Labarta
Task-based programming in COMPSs to converge from HPC to big data. Int. J. High Perform. Comput. Appl. 32 (1) (2018)
Albert Kahira, Leonardo Bautista-Gomez, Rosa M. Badia
Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study. ISC Workshops (2018)
Cristian Ramon-Cortes, Ramon Amela, Jorge Ejarque, Philippe Clauss, Rosa M. Badia
AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests. CoRR (2018)
Kallia Chronaki, Marc Casas, Miquel Moretó, Jaume Bosch, Rosa M. Badia
TaskGenX: A Hardware-Software Proposal for Accelerating Task Parallelism. ISC (2018)
Cristian Ramon-Cortes, Albert Serven, Jorge Ejarque, Daniele Lezzi, Rosa M. Badia
Transparent Orchestration of Task-based Parallel Applications in Containers Platforms. J. Grid Comput. 16 (1) (2018)
Francesc Lordan, Rosa M. Badia
COMPSs-Mobile: Parallel Programming for Mobile Cloud Computing. J. Grid Comput. 15 (3) (2017)
Kallia Chronaki, Alejandro Rico, Marc Casas, Miquel Moretó, Rosa M. Badia, Eduard Ayguadé, Jesús Labarta, Mateo Valero
Task Scheduling Techniques for Asymmetric Multi-Core Systems. IEEE Trans. Parallel Distributed Syst. 28 (7) (2017)
Francesc Lordan, Rosa M. Badia, Wen-Mei Hwu
Enabling GPU Support for the COMPSs-Mobile Framework. WACCPD@SC (2017)
Enric Tejedor, Yolanda Becerra, Guillem Alomar, Anna Queralt, Rosa M. Badia, Jordi Torres, Toni Cortes, Jesús Labarta
PyCOMPSs: Parallel computational workflows in Python. Int. J. High Perform. Comput. Appl. 31 (1) (2017)
Rosa M. Badia, Eduard Ayguadé, Jesús Labarta
Workflows for Science: a Challenge when Facing the Convergence of HPC and Big Data. Supercomput. Front. Innov. 4 (1) (2017)
Victor Anton, Cristian Ramon-Cortes, Jorge Ejarque, Rosa M. Badia
Transparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar. PDP (2017)
Francesc Lordan, Daniele Lezzi, Jorge Ejarque, Rosa M. Badia
An Architecture for Programming Distributed Applications on Fog to Cloud Systems. Euro-Par Workshops (2017)
Ramon Amela, Cristian Ramon-Cortes, Jorge Ejarque, Javier Conejero, Rosa M. Badia
Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs. PyHPC@SC (2017)
Kallia Chronaki, Miquel Moretó, Marc Casas, Alejandro Rico, Rosa M. Badia, Eduard Ayguadé, Jesús Labarta, Mateo Valero
POSTER: Exploiting Asymmetric Multi-Core Processors with Flexible System Sofware. PACT (2016)
Francesc Lordan, Rosa M. Badia
COMPSs-Mobile: Parallel Programming for Mobile-Cloud Computing. CCGrid (2016)
Karim Djemame, Django Armstrong, Richard E. Kavanagh, Jean-Christophe Deprez, Ana Juan Ferrer, David García-Pérez, Rosa M. Badia, Raül Sirvent, Jorge Ejarque, Yiannis Georgiou
TANGO: Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation. CoRR (2016)
Emilio Castillo, Miquel Moretó, Marc Casas, Lluc Alvarez, Enrique Vallejo, Kallia Chronaki, Rosa M. Badia, José Luis Bosque, Ramón Beivide, Eduard Ayguadé, Jesús Labarta, Mateo Valero
CATA: Criticality Aware Task Acceleration for Multicore Processors. IPDPS (2016)
Francisco Vilar Brasileiro, José Luis Vivas, Giovanni Farias da Silva, Daniele Lezzi, Carlos Diaz, Rosa M. Badia, Miguel Caballer, Ignacio Blanquer
Flexible Federation of Cloud Providers: The EUBrazil Cloud Connect Approach. AINA Workshops (2016)
Susana Sánchez-Expósito, Pablo Martín, José Enrique Ruiz, Lourdes Verdes-Montenegro, Julián Garrido, Raül Sirvent, Antonio Ruiz Falcó, Rosa M. Badia, Daniele Lezzi
Web Services as Building Blocks for Science Gateways in Astrophysics. J. Grid Comput. 14 (4) (2016)
Enric Tejedor, Javier Álvarez, Rosa M. Badia
Infrastructure-Agnostic Programming and Interoperable Execution in Heterogeneous Grids. Comput. Informatics 35 (4) (2016)
José Ignacio Aliaga, Rosa M. Badia, Maria Barreda, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Exploiting task and data parallelism in ILUPACK's preconditioned CG solver on NUMA architectures and many-core accelerators. Parallel Comput. 54 (2016)
Karim Djemame, Richard E. Kavanagh, Django Armstrong, Francesc Lordan, Jorge Ejarque, Mario Macías, Raül Sirvent, Jordi Guitart, Rosa M. Badia
Energy Efficiency Support Through Intra-layer Cloud Stack Adaptation. GECON (2016)
Francesc Lordan, Jorge Ejarque, Raül Sirvent, Rosa M. Badia
Energy-Aware Programming Model for Distributed Infrastructures. PDP (2016)
Rafael Amaral, Rosa M. Badia, Ignacio Blanquer, Ricardo Braga-Neto, Leonardo Candela, Donatella Castelli, Christina Flann, Renato De Giovanni, William Alex Gray, Andrew C. Jones, Daniele Lezzi, Pasquale Pagano, Vanderlei Perez Canhos, Francisco Quevedo, Roger Rafanell, Vinod E. F. Rebello, Mariane S. Sousa-Baena, Erik Torres
Supporting biodiversity studies with the EUBrazilOpenBio Hybrid Data Infrastructure. Concurr. Comput. Pract. Exp. 27 (2) (2015)
Judit Planas, Rosa M. Badia, Eduard Ayguadé, Jesús Labarta
SSMART: smart scheduling of multi-architecture tasks on heterogeneous systems. WACCPD@SC (2015)
Fahimeh Yazdanpanah, Carlos Álvarez, Daniel Jiménez-González, Rosa M. Badia, Mateo Valero
Picos: A hardware runtime architecture support for OmpSs. Future Gener. Comput. Syst. 53 (2015)
Stefan Wesner, Lutz Schubert, Rosa M. Badia, Antonio Rubio, Pier Stanislao Paolucci, Roberto Giorgi
Special Section on Terascale Computing. Future Gener. Comput. Syst. 53 (2015)
Vinoth Krishnan Elangovan, Rosa M. Badia, Eduard Ayguadé
Auto-Tuning OmpSs-OpenCL Kernels Across GPU Machines. PARMA-DITAM@HiPEAC (2015)
Rabab Alomairy, Guillermo Miranda, Hatem Ltaief, Rosa M. Badia, Xavier Martorell, Jesús Labarta, David E. Keyes
Dense Matrix Computations on NUMA Architectures with Distance-Aware Work Stealing. Supercomput. Front. Innov. 2 (1) (2015)
Jorge Ejarque, András Micsik, Rosa M. Badia
Towards Automatic Application Migration to Clouds. CLOUD (2015)
Judit Planas, Rosa M. Badia, Eduard Ayguadé, Jesús Labarta
AMA: Asynchronous Management of Accelerators for Task-based Programming Models. ICCS (2015)

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Rosa M. Badia