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ORCIDRosa M. Badia
Rosa Maria Badia
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- affiliation: Barcelona Supercomputing Center, Spain
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2020 – today
- 2024
[j80]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): 36-44 (2024)- [j79]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) - [j78]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: 248-258 (2024) - [j77]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: 502-513 (2024) - [j76]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): 19 (2024) - [j75]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): 11741-11761 (2024) - [c141]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: 690-703 - [c140]Cristian Catalin Tatu, Javier Conejero, Fernando Vázquez-Novoa, Rosa M. Badia:
GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework. Euro-Par (3) 2024: 225-239 - [e7]Patrizio Dazzi, Gabriele Mencagli, David K. Lowenthal, Rosa M. Badia:
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2024, Pisa, Italy, June 3-7, 2024. ACM 2024, ISBN 979-8-4007-0413-0 [contents] - 2023
- [b1]Rosa M. Badia:
Síntesi d'alt nivell de circuits asíncrons. Polytechnic University of Catalonia, Spain, 2023 - [j74]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) - [j73]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: 47-61 (2023) - [j72]Jorge Ejarque, Rosa M. Badia:
Automatizing the creation of specialized high-performance computing containers. Int. J. High Perform. Comput. Appl. 37(3-4): 272-287 (2023) - [j71]Rosa M. Badia, Ian T. Foster, Dejan S. Milojicic:
Future of HPC. IEEE Internet Comput. 27(1): 5-6 (2023) - [c139]Francesc Lordan, Gabriel Puigdemunt, Pere Vergés, Javier Conejero, Jorge Ejarque, Rosa M. Badia:
Hierarchical Management of Extreme-Scale Task-Based Applications. Euro-Par 2023: 111-124 - [c138]Fernando Vázquez-Novoa, Javier Conejero, Cristian Tatu, Rosa M. Badia:
Scalable Random Forest with Data-Parallel Computing. Euro-Par 2023: 397-410 - [e6]Dorian Arnold, Rosa M. Badia, Kathryn M. Mohror:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023, Denver, CO, USA, November 12-17, 2023. ACM 2023 [contents] - [i20]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) - [i19]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 abs/2312.07748 (2023) - [i18]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): 129-164 (2023) - 2022
- [j70]Rosa M. Badia, Ian T. Foster, Dejan S. Milojicic:
More Real Than Real: The Race to Simulate Everything. Computer 55(7): 67-72 (2022) - [j69]Rosa M. Badia, Javier Conejero, Jorge Ejarque, Daniele Lezzi, Francesc Lordan:
PyCOMPSs as an Instrument for Translational Computer Science. Comput. Sci. Eng. 24(2): 79-84 (2022) - [j68]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: 414-429 (2022) - [j67]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): 3589-3599 (2022) - [c137]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: 357-366 - [c136]Pere Vergés, Francesc Lordan, Jorge Ejarque, Rosa M. Badia:
Task-Level Checkpointing System for Task-Based Parallel Workflows. Euro-Par Workshops 2022: 251-262 - [c135]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: 1-9 - [e5]Ricardo Chaves, Dora B. Heras, Aleksandar Ilic, Didem Unat, Rosa M. Badia, Andrea Bracciali, Patrick Diehl, Anshu Dubey, Oh Sangyoon, Stephen L. Scott, Laura Ricci:
Euro-Par 2021: Parallel Processing Workshops - Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13098, Springer 2022, ISBN 978-3-031-06155-4 [contents] - [i17]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 abs/2201.06620 (2022) - [i16]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 abs/2204.09287 (2022) - [i15]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 abs/2208.14130 (2022) - [i14]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 abs/2211.10819 (2022) - 2021
- [j66]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: 100422 (2021) - [j65]Hatem Elshazly, Jorge Ejarque, Francesc Lordan, Rosa M. Badia:
Towards enabling I/O awareness in task-based programming models. Future Gener. Comput. Syst. 121: 74-89 (2021) - [j64]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) - [j63]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: 112-124 (2021) - [j62]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): 28 (2021) - [c134]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: 1455-1462 - [c133]Francesc Lordan, Daniele Lezzi, Rosa M. Badia:
Colony: Parallel Functions as a Service on the Cloud-Edge Continuum. Euro-Par 2021: 269-284 - [c132]Rosa M. Badia:
Superscalar Programming Models: A Perspective from Barcelona. HPDC 2021: 5 - [c131]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: 161-173 - [c130]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 E. 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: 81-90 - [i13]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 A. 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 abs/2103.09181 (2021) - [i12]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 abs/2104.09075 (2021) - [i11]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 abs/2104.10106 (2021) - [i10]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) - [i9]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 E. 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 abs/2110.02168 (2021) - [i8]Hatem Elshazly, Jorge Ejarque, Francesc Lordan, Rosa M. Badia:
Towards Enabling I/O Awareness in Task-based Programming Models. CoRR abs/2111.01504 (2021) - [i7]Guillaume Houzeaux, Rosa Maria Badia, Ricard Borrell, Damien Dosimont, Jorge Ejarque, Marta Garcia-Gasulla, Víctor López:
Dynamic resource allocation for efficient parallel CFD simulations. CoRR abs/2112.09560 (2021) - 2020
- [j61]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: 570-581 (2020) - [j60]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: 281-297 (2020) - [j59]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) - [j58]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): 81-94 (2020) - [c129]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: 411-425 - [c128]Hatem Elshazly, Francesc Lordan, Jorge Ejarque, Rosa M. Badia:
Performance Meets Programmabilty: Enabling Native Python MPI Tasks In PyCOMPSs. PDP 2020: 63-66 - [c127]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: 22-31 - [e4]Eduard Ayguadé, Wen-mei W. Hwu, Rosa M. Badia, H. Peter Hofstee:
ICS '20: 2020 International Conference on Supercomputing, Barcelona Spain, June, 2020. ACM 2020, ISBN 978-1-4503-7983-0 [contents] - [i6]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 abs/2006.07066 (2020) - [i5]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 abs/2007.04939 (2020) - [i4]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 abs/2012.00825 (2020)
2010 – 2019
- 2019
- [j57]Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka:
Heterogeneous Hierarchical Workflow Composition. Comput. Sci. Eng. 21(4): 76-86 (2019) - [j56]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: 243-269 (2019) - [j55]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) - [j54]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): 19:1-19:18 (2019) - [j53]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: 105-115 (2019) - [c126]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: 96-105 - [c125]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: 136-147 - [c124]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: 1720-1729 - [c123]Albert Njoroge Kahira, Leonardo Bautista-Gomez, Javier Conejero, Rosa M. Badia:
Accelerating Hyperparameter Optimisation with PyCOMPSs. ICPP Workshops 2019: 20:1-20:8 - [c122]Lucas M. Ponce, Daniele Lezzi, Rosa M. Badia, Dorgival O. Guedes:
Extension of a Task-Based Model to Functional Programming. SBAC-PAD 2019: 64-71 - 2018
- [j52]Fredy Juarez, Jorge Ejarque, Rosa M. Badia:
Dynamic energy-aware scheduling for parallel task-based application in cloud computing. Future Gener. Comput. Syst. 78: 257-271 (2018) - [j51]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): 137-160 (2018) - [j50]Francesc Lordan, Jens Jensen, Rosa M. Badia:
Towards Mobile Cloud Computing with Single Sign-on Access. J. Grid Comput. 16(4): 627-646 (2018) - [j49]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): 54-61 (2018) - [j48]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): 45-60 (2018) - [j47]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): 435-479 (2018) - [c121]Rosa M. Badia:
Programmability versus performance tradeoff: overcoming the hardware challenges from a task-based approach. CF 2018 - [c120]Javier Conejero, Cristian Ramon-Cortes, Kim Serradell, Rosa M. Badia:
Boosting Atmospheric Dust Forecast with PyCOMPSs. eScience 2018: 464-474 - [c119]Kallia Chronaki, Marc Casas, Miquel Moretó, Jaume Bosch, Rosa M. Badia:
TaskGenX: A Hardware-Software Proposal for Accelerating Task Parallelism. ISC 2018: 389-409 - [c118]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: 562-569 - [e3]Dora Blanco Heras, Luc Bougé, Gabriele Mencagli, Emmanuel Jeannot, Rizos Sakellariou, Rosa M. Badia, Jorge G. Barbosa, Laura Ricci, Stephen L. Scott, Stefan Lankes, Josef Weidendorfer:
Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10659, Springer 2018, ISBN 978-3-319-75177-1 [contents] - [e2]Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, José M. Granado Criado, Rosa M. Badia:
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, PBio@EuroMPI 2018, Barcelona, Spain, September 23, 2018. ACM 2018 [contents] - [i3]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 abs/1810.11268 (2018) - 2017
- [j46]Francesc Lordan, Rosa M. Badia:
COMPSs-Mobile: Parallel Programming for Mobile Cloud Computing. J. Grid Comput. 15(3): 357-378 (2017) - [j45]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): 66-82 (2017) - [j44]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): 27-47 (2017) - [j43]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): 2074-2087 (2017) - [c117]Francesc Lordan, Daniele Lezzi, Jorge Ejarque, Rosa M. Badia:
An Architecture for Programming Distributed Applications on Fog to Cloud Systems. Euro-Par Workshops 2017: 325-337 - [c116]Victor Anton, Cristian Ramon-Cortes, Jorge Ejarque, Rosa M. Badia:
Transparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar. PDP 2017: 463-467 - [c115]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: 1:1-1:10 - [c114]Francesc Lordan, Rosa M. Badia, Wen-Mei Hwu:
Enabling GPU Support for the COMPSs-Mobile Framework. WACCPD@SC 2017: 83-102 - 2016
- [j42]Enric Tejedor, Javier Álvarez, Rosa M. Badia:
Infrastructure-Agnostic Programming and Interoperable Execution in Heterogeneous Grids. Comput. Informatics 35(4): 986-1004 (2016) - [j41]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): 673-685 (2016) - [j40]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: 97-107 (2016) - [c113]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: 415-417 - [c112]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: 165-170 - [c111]Francesc Lordan, Rosa M. Badia:
COMPSs-Mobile: Parallel Programming for Mobile-Cloud Computing. CCGrid 2016: 497-500 - [c110]