Javier Conejero

According to our database, Javier Conejero authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework.

Cristian Catalin Tatu, Javier Conejero, Fernando Vázquez-Novoa, Rosa M. Badia

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

COMPSs.

Jorge Ejarque, Francesc Lordan, Rosa Maria Badia, Raül Sirvent, Daniele Lezzi, Fernando Vázquez, Cristian Tatu, Gabriel Puigdemunt, Nihad Mammadli, Javier Conejero

Dataset, November, 2023

COMPSs.

Jorge Ejarque, Francesc Lordan, Rosa Maria Badia, Raül Sirvent, Daniele Lezzi, Fernando Vázquez, Cristian Tatu, Gabriel Puigdemunt, Nihad Mammadli, Javier Conejero

Dataset, May, 2023

The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase.

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

Future Gener. Comput. Syst., 2023

Scalable Random Forest with Data-Parallel Computing.

Fernando Vázquez-Novoa, Javier Conejero, Cristian Tatu, Rosa M. Badia

Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

Hierarchical Management of Extreme-Scale Task-Based Applications.

Francesc Lordan, Gabriel Puigdemunt, Pere Vergés, Javier Conejero, Jorge Ejarque, Rosa M. Badia

Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

2022

PyCOMPSs as an Instrument for Translational Computer Science.

Rosa M. Badia, Javier Conejero, Jorge Ejarque, Daniele Lezzi, Francesc Lordan

Comput. Sci. Eng., 2022

RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation.

Sergio Sánchez Ramírez, Javier Conejero, Francesc Lordan, Anna Queralt, Toni Cortes, Rosa M. Badia, Artur García-Sáez

CoRR, 2022

Automatic, Efficient and Scalable Provenance Registration for FAIR HPC Workflows.

Raül Sirvent, Javier Conejero, Francesc Lordan, Jorge Ejarque, Laura Rodríguez-Navas, José María Fernández, Salvador Capella-Gutiérrez, Rosa M. Badia

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows.

Jorge Ejarque, Pau Andrio, Adam Hospital, Javier Conejero, Daniele Lezzi, Josep Lluis Gelpí, Rosa M. Badia

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

2020

Enabling System Wide Shared Memory for Performance Improvement in PyCOMPSs Applications.

Clément Foyer, Javier Conejero, Jorge Ejarque, Rosa M. Badia, Adrian Tate, Simon McIntosh-Smith

Proceedings of the 9th IEEE/ACM Workshop on Python for High-Performance and Scientific Computing, 2020

Managing Failures in Task-Based Parallel Workflows in Distributed Computing Environments.

Jorge Ejarque, Marta Bertran, Javier Álvarez Cid-Fuentes, Javier Conejero, Rosa M. Badia

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019

Accelerating Hyperparameter Optimisation with PyCOMPSs.

Albert Njoroge Kahira, Leonardo Bautista-Gomez, Javier Conejero, Rosa M. Badia

Proceedings of the 48th International Conference on Parallel Processing, 2019

Workflow Environments for Advanced Cyberinfrastructure Platforms.

Rosa M. Badia, Jorge Ejarque, Francesc Lordan, Daniele Lezzi, Javier Conejero, Javier Álvarez Cid-Fuentes, Yolanda Becerra, Anna Queralt

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Task-based programming in COMPSs to converge from HPC to big data.

Javier Conejero, Sandra Corella, Rosa M. Badia, Jesús Labarta

Int. J. High Perform. Comput. Appl., 2018

Boosting Atmospheric Dust Forecast with PyCOMPSs.

Javier Conejero, Cristian Ramon-Cortes, Kim Serradell, Rosa M. Badia

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs.

Ramon Amela, Cristian Ramon-Cortes, Jorge Ejarque, Javier Conejero, Rosa M. Badia

Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing, 2017

2016

Formal performance evaluation of the Map/Reduce framework within cloud computing.

M. Carmen Ruiz, Diego Cazorla, Diego Pérez Leándrez, Javier Conejero

J. Supercomput., 2016

Analyzing Hadoop power consumption and impact on application QoS.

Javier Conejero, Omer F. Rana, Pete Burnap, Jeffrey Morgan, María Blanca Caminero, Carmen Carrión

Future Gener. Comput. Syst., 2016

2015

COSMOS: Towards an integrated and scalable service for analysing social media on demand.

Pete Burnap, Omer F. Rana, Matthew L. Williams, William Housley, Adam Edwards, Jeffrey Morgan, Luke Sloan, Javier Conejero

Int. J. Parallel Emergent Distributed Syst., 2015

2014

From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multi-grid computing environments.

Javier Conejero, María Blanca Caminero, Carmen Carrión, Luis Tomás

Future Gener. Comput. Syst., 2014

Analysing Hadoop performance in a multi-user IaaS Cloud.

Javier Conejero, María Blanca Caminero, Carmen Carrión

Proceedings of the International Conference on High Performance Computing & Simulation, 2014

2013

Characterising the Power Consumption of Hadoop Clouds - A Social Media Analysis Case Study.

Javier Conejero, Omer F. Rana, Pete Burnap, Jeffrey Morgan, Carmen Carrión, María Blanca Caminero

Proceedings of the CLOSER 2013, 2013

Scaling Archived Social Media Data Analysis Using a Hadoop Cloud.

Javier Conejero, Pete Burnap, Omer F. Rana, Jeffrey Morgan

Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012

QoS Provisioning by Meta-Scheduling in Advance within SLA-Based Grid Environments.

Javier Conejero, Luis Tomás, María Blanca Caminero, Carmen Carrión

Comput. Informatics, 2012

Multilevel SLA-based QoS Support in Grids.

Javier Conejero, Luis Tomás, María Blanca Caminero, Carmen Carrión

Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012