Jorge Ejarque

Orcid: 0000-0003-4725-5097

According to our database1, Jorge Ejarque authored at least 53 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Block size estimation for data partitioning in HPC applications using machine learning techniques.
J. Big Data, December, 2024

Boosting HPC data analysis performance with the ParSoDA-Py library.
J. Supercomput., May, 2024

2023
Automatizing the creation of specialized high-performance computing containers.
Int. J. High Perform. Comput. Appl., July, 2023

Portability and Scalability Evaluation of Large-Scale Statistical Modeling and Prediction Software through HPC-Ready Containers.
CoRR, 2023

End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 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
Storage-Heterogeneity Aware Task-based Programming Models to Optimize I/O Intensive Applications.
IEEE Trans. Parallel Distributed Syst., 2022

Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence.
Future Gener. Comput. Syst., 2022

PyCOMPSs as an Instrument for Translational Computer Science.
Comput. Sci. Eng., 2022

Block size estimation for data partitioning in HPC applications using machine learning techniques.
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

Task-Level Checkpointing System for Task-Based Parallel Workflows.
Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 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

2021
Accelerated execution via eager-release of dependencies in task-based workflows.
Int. J. High Perform. Comput. Appl., 2021

Towards enabling I/O awareness in task-based programming models.
Future Gener. Comput. Syst., 2021

A survey on the Distributed Computing stack.
Comput. Sci. Rev., 2021

Dynamic resource allocation for efficient parallel CFD simulations.
CoRR, 2021

2020
Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures.
IEEE Trans. Sustain. Comput., 2020

AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python.
Int. J. High Perform. Comput. Appl., 2020

A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one.
Future Gener. Comput. Syst., 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

Performance Meets Programmabilty: Enabling Native Python MPI Tasks In PyCOMPSs.
Proceedings of the 28th Euromicro International Conference on Parallel, 2020

Managing Failures in Task-Based Parallel Workflows in Distributed Computing Environments.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019
A hierarchic task-based programming model for distributed heterogeneous computing.
Int. J. High Perform. Comput. Appl., 2019

Heterogeneous Hierarchical Workflow Composition.
Comput. Sci. Eng., 2019

Workflow Environments for Advanced Cyberinfrastructure Platforms.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018
Energy-Aware Scheduler for HPC Parallel Task Base Applications in Cloud Computing.
Int. J. Comb. Optim. Probl. Informatics, 2018

Transparent Orchestration of Task-based Parallel Applications in Containers Platforms.
J. Grid Comput., 2018

Dynamic energy-aware scheduling for parallel task-based application in cloud computing.
Future Gener. Comput. Syst., 2018

AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests.
CoRR, 2018

2017
PaaS-IaaS Inter-Layer Adaptation in an Energy-Aware Cloud Environment.
IEEE Trans. Sustain. Comput., 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

Transparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar.
Proceedings of the 25th Euromicro International Conference on Parallel, 2017

An Architecture for Programming Distributed Applications on Fog to Cloud Systems.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

2016
TANGO: Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation.
CoRR, 2016

Energy-Aware Programming Model for Distributed Infrastructures.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

Energy Efficiency Support Through Intra-layer Cloud Stack Adaptation.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2016

2015
Semantic resource management and interoperability between distributed computing platforms.
PhD thesis, 2015

Towards Automatic Application Migration to Clouds.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
ServiceSs: An Interoperable Programming Framework for the Cloud.
J. Grid Comput., 2014

Energy Efficiency Embedded Service Lifecycle: Towards an Energy Efficient Cloud Computing Architecture.
Proceedings of the Joint Workshop Proceedings of the 2nd International Conference on ICT for Sustainability 2014, 2014

2012
Service Orchestration on a Heterogeneous Cloud Federation.
Comput. Informatics, 2012

Cloud Application Resource Mapping and Scaling Based on Monitoring of QoS Constraints.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

2011
Job Scheduling with License Reservation: A Semantic Approach.
Proceedings of the 19th International Euromicro Conference on Parallel, 2011

A Cloud-unaware Programming Model for Easy Development of Composite Services.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

A Rule-based Approach for Infrastructure Providers' Interoperability.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2010
A Semantic Toolkit for Scheduling in Cloud and Grid Platforms.
ERCIM News, 2010

Exploiting semantics and virtualization for SLA-driven resource allocation in service providers.
Concurr. Comput. Pract. Exp., 2010

A Multi-agent Approach for Semantic Resource Allocation.
Proceedings of the Cloud Computing, Second International Conference, 2010

2009
Introducing Virtual Execution Environments for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers.
Proceedings of The Eighth IEEE International Symposium on Networking Computing and Applications, 2009

2008
SLA-Driven Semantically-Enhanced Dynamic Resource Allocator for Virtualized Service Providers.
Proceedings of the Fourth International Conference on e-Science, 2008

Using Semantics for Resource Allocation in Computing Service Providers.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007
Improving Separation of Concerns in the Development of Scientific Applications.
Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007


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