Javier Conejero

31 papers A 1B 1C 2Journal 14Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Model generation architecture for digital twins and deployment system. Int. J. High Perform. Comput. Appl. Fernando Vázquez-Novoa, Javier Conejero, Rosa M. Badia
2025	J	`jnl`	Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing. CoRR Mar Tejedor, Berta Casas, Javier Conejero, Alba Cervera-Lierta, Rosa M. Badia
2025	—	`conf`	Orchestrating Quantum-HPC Workflows with Distributed Quantum Circuit Cutting. SC Workshops Mar Tejedor, Berta Casas, Javier Conejero, Alba Cervera-Lierta, Rosa M. Badia
2025	J	`jnl`	RCOMPSs: A Scalable Runtime System for R Code Execution on Manycore Systems. CoRR Xiran Zhang, Javier Conejero, Sameh Abdulah, Jorge Ejarque, Ying Sun, Rosa M. Badia, David E. Keyes, Marc G. Genton
2024	—	`conf`	GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework. Euro-Par (3) Cristian Catalin Tatu, Javier Conejero, Fernando Vázquez-Novoa, Rosa M. Badia
2024	—	`conf`	Taming the Swarm: A Role-Based Approach for Autonomous Agents. Euro-Par Workshops (2) Francesc Lordan, Xavier Casas Moreno, Philip Cummins, Javier Conejero, Rosa M. Badia, Raül Sirvent
2023	—	`conf`	Hierarchical Management of Extreme-Scale Task-Based Applications. Euro-Par Francesc Lordan, Gabriel Puigdemunt, Pere Vergés, Javier Conejero, Jorge Ejarque, Rosa M. Badia
2023	—	`conf`	Scalable Random Forest with Data-Parallel Computing. Euro-Par Fernando Vázquez-Novoa, Javier Conejero, Cristian Tatu, Rosa M. Badia
2023	J	`jnl`	The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase. Future Gener. Comput. Syst. 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
2022	—	`conf`	Automatic, Efficient and Scalable Provenance Registration for FAIR HPC Workflows. WORKS@SC Raül Sirvent, Javier Conejero, Francesc Lordan, Jorge Ejarque, Laura Rodríguez-Navas, José María Fernández, Salvador Capella-Gutiérrez, Rosa M. Badia
2022	J	`jnl`	PyCOMPSs as an Instrument for Translational Computer Science. Comput. Sci. Eng. Rosa M. Badia, Javier Conejero, Jorge Ejarque, Daniele Lezzi, Francesc Lordan
2022	J	`jnl`	RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation. CoRR Sergio Sánchez Ramírez, Javier Conejero, Francesc Lordan, Anna Queralt, Toni Cortes, Rosa M. Badia, Artur García-Sáez
2022	B	`conf`	The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows. e-Science Jorge Ejarque, Pau Andrio, Adam Hospital, Javier Conejero, Daniele Lezzi, Josep Lluís Gelpí, Rosa M. Badia
2022	J	`jnl`	The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows. CoRR Jorge Ejarque, Pau Andrio, Adam Hospital, Javier Conejero, Daniele Lezzi, Josep Lluís Gelpí, Rosa M. Badia
2020	—	`conf`	Enabling System Wide Shared Memory for Performance Improvement in PyCOMPSs Applications. PyHPC@SC Clément Foyer, Javier Conejero, Jorge Ejarque, Rosa M. Badia, Adrian Tate, Simon McIntosh-Smith
2020	—	`conf`	Managing Failures in Task-Based Parallel Workflows in Distributed Computing Environments. Euro-Par Jorge Ejarque, Marta Bertran, Javier Álvarez Cid-Fuentes, Javier Conejero, Rosa M. Badia
2020	J	`jnl`	Workflow environments for advanced cyberinfrastructure platforms. CoRR Rosa M. Badia, Jorge Ejarque, Francesc Lordan, Daniele Lezzi, Javier Conejero, Javier Álvarez Cid-Fuentes, Yolanda Becerra, Anna Queralt
2019	—	`conf`	Accelerating Hyperparameter Optimisation with PyCOMPSs. ICPP Workshops Albert Njoroge Kahira, Leonardo Bautista-Gomez, Javier Conejero, Rosa M. Badia
2019	A	`conf`	Workflow Environments for Advanced Cyberinfrastructure Platforms. ICDCS Rosa M. Badia, Jorge Ejarque, Francesc Lordan, Daniele Lezzi, Javier Conejero, Javier Álvarez Cid-Fuentes, Yolanda Becerra, Anna Queralt
2018	—	`conf`	Boosting Atmospheric Dust Forecast with PyCOMPSs. eScience Javier Conejero, Cristian Ramon-Cortes, Kim Serradell, Rosa M. Badia
2018	J	`jnl`	Task-based programming in COMPSs to converge from HPC to big data. Int. J. High Perform. Comput. Appl. Javier Conejero, Sandra Corella, Rosa M. Badia, Jesús Labarta
2017	—	`conf`	Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs. PyHPC@SC Ramon Amela, Cristian Ramon-Cortes, Jorge Ejarque, Javier Conejero, Rosa M. Badia
2016	J	`jnl`	Analyzing Hadoop power consumption and impact on application QoS. Future Gener. Comput. Syst. Javier Conejero, Omer F. Rana, Pete Burnap, Jeffrey Morgan, María Blanca Caminero, Carmen Carrión
2016	J	`jnl`	Formal performance evaluation of the Map/Reduce framework within cloud computing. J. Supercomput. M. Carmen Ruiz, Diego Cazorla, Diego Pérez Leándrez, Javier Conejero
2015	J	`jnl`	COSMOS: Towards an integrated and scalable service for analysing social media on demand. Int. J. Parallel Emergent Distributed Syst. Pete Burnap, Omer F. Rana, Matthew L. Williams, William Housley, Adam Edwards, Jeffrey Morgan, Luke Sloan, Javier Conejero
2014	—	`conf`	Analysing Hadoop performance in a multi-user IaaS Cloud. HPCS Javier Conejero, María Blanca Caminero, Carmen Carrión
2014	J	`jnl`	From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multi-grid computing environments. Future Gener. Comput. Syst. Javier Conejero, María Blanca Caminero, Carmen Carrión, Luis Tomás
2013	C	`conf`	Characterising the Power Consumption of Hadoop Clouds - A Social Media Analysis Case Study. CLOSER Javier Conejero, Omer F. Rana, Pete Burnap, Jeffrey Morgan, Carmen Carrión, María Blanca Caminero
2013	—	`conf`	Scaling Archived Social Media Data Analysis Using a Hadoop Cloud. IEEE CLOUD Javier Conejero, Pete Burnap, Omer F. Rana, Jeffrey Morgan
2012	C	`conf`	Multilevel SLA-based QoS Support in Grids. ISPA Javier Conejero, Luis Tomás, María Blanca Caminero, Carmen Carrión
2012	J	`jnl`	QoS Provisioning by Meta-Scheduling in Advance within SLA-Based Grid Environments. Comput. Informatics Javier Conejero, Luis Tomás, María Blanca Caminero, Carmen Carrión