Javier Conejero

Orcid: 0000-0001-6401-6229

According to our database1, Javier Conejero authored at least 23 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase.
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Future Gener. Comput. Syst., 2023

Scalable Random Forest with Data-Parallel Computing.
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.
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.
Comput. Sci. Eng., 2022

RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation.
CoRR, 2022

Automatic, Efficient and Scalable Provenance Registration for FAIR HPC Workflows.
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.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2020
Enabling System Wide Shared Memory for Performance Improvement in PyCOMPSs Applications.
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.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019
Accelerating Hyperparameter Optimisation with PyCOMPSs.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Workflow Environments for Advanced Cyberinfrastructure Platforms.
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.
Int. J. High Perform. Comput. Appl., 2018

Boosting Atmospheric Dust Forecast with PyCOMPSs.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017
Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs.
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.
J. Supercomput., 2016

Analyzing Hadoop power consumption and impact on application QoS.
Future Gener. Comput. Syst., 2016

2015
COSMOS: Towards an integrated and scalable service for analysing social media on demand.
Int. J. Parallel Emergent Distributed Syst., 2015

2014
From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multi-grid computing environments.
Future Gener. Comput. Syst., 2014

Analysing Hadoop performance in a multi-user IaaS Cloud.
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.
Proceedings of the CLOSER 2013, 2013

Scaling Archived Social Media Data Analysis Using a Hadoop Cloud.
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.
Comput. Informatics, 2012

Multilevel SLA-based QoS Support in Grids.
Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012


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