Enric Tejedor

According to our database, Enric Tejedor authored at least 22 papers between 2007 and 2023.

Collaborative distances:

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

2023

A caching mechanism to exploit object store speed in High Energy Physics analysis.

Vincenzo Eduardo Padulano, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Javier López-Gómez, Jakob Blomer

Clust. Comput., October, 2023

Leveraging an open source serverless framework for high energy physics computing.

Vincenzo Eduardo Padulano, Pablo Oliver Cortés, Pedro Alonso-Jordá, Enric Tejedor Saavedra, Sebastián Risco, Germán Moltó

J. Supercomput., May, 2023

Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics.

Vincenzo Eduardo Padulano, Ivan Donchev Kabadzhov, Enric Tejedor Saavedra, Enrico Guiraud, Pedro Alonso-Jordá

J. Grid Comput., March, 2023

Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case.

Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto

CoRR, 2023

2022

A Serverless Engine for High Energy Physics Distributed Analysis.

Jacek Kusnierz, Vincenzo Eduardo Padulano, Maciej Malawski, Kamil Burkiewicz, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Michael Pitt, Valentina Avati

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Distributed Parallel Analysis Engine for High Energy Physics Using AWS Lambda.

Jacek Kusnierz, Maciej Malawski, Vincenzo Eduardo Padulano, Enric Tejedor Saavedra, Pedro Alonso-Jordá

Proceedings of the HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, 2021

2019

Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case.

Valentina Avati, Milosz Blaszkiewicz, Enrico Bocchi, Luca Canali, Diogo Castro, Javier Cervantes, Leszek Grzanka, Enrico Guiraud, Jan Kaspar, Prasanth Kothuri, Massimo Lamanna, Maciej Malawski, Aleksandra Mnich, Jakub T. Moscicki, Shravan Murali, Danilo Piparo, Enric Tejedor

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018

SWAN: A service for interactive analysis in the cloud.

Danilo Piparo, Enric Tejedor, Pere Mato, Luca Mascetti, Jakub T. Moscicki, Massimo Lamanna

Future Gener. Comput. Syst., 2018

Increasing Parallelism in the ROOT I/O Subsystem.

Guilherme Amadio, Brian Bockelman, Philippe Canal, Danilo Piparo, Enric Tejedor, Zhe Zhang

CoRR, 2018

Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment.

Valentina Avati, Milosz Blaszkiewicz, Enrico Bocchi, Luca Canali, Diogo Castro, Javier Cervantes, Leszek Grzanka, Enrico Guiraud, Jan Kaspar, Prasanth Kothuri, Massimo Lamanna, Maciej Malawski, Aleksandra Mnich, Jakub T. Moscicki, Shravan Murali, Danilo Piparo, Enric Tejedor

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

2017

PyCOMPSs: Parallel computational workflows in Python.

Enric Tejedor, Yolanda Becerra, Guillem Alomar, Anna Queralt, Rosa M. Badia, Jordi Torres, Toni Cortes, Jesús Labarta

Int. J. High Perform. Comput. Appl., 2017

2016

Infrastructure-Agnostic Programming and Interoperable Execution in Heterogeneous Grids.

Enric Tejedor, Javier Álvarez, Rosa M. Badia

Comput. Informatics, 2016

2014

ServiceSs: An Interoperable Programming Framework for the Cloud.

Francesc Lordan, Enric Tejedor, Jorge Ejarque, Roger Rafanell, Javier Álvarez, Fabrizio Marozzo, Daniele Lezzi, Raül Sirvent, Domenico Talia, Rosa M. Badia

J. Grid Comput., 2014

2013

Programming and parallelising applications for distributed infrastructures.

Enric Tejedor

PhD thesis, 2013

2012

A high-productivity task-based programming model for clusters.

Enric Tejedor, Montse Farreras, David Grove, Rosa M. Badia, Gheorghe Almási, Jesús Labarta

Concurr. Comput. Pract. Exp., 2012

2011

ClusterSs: a task-based programming model for clusters.

Enric Tejedor, Montse Farreras, David Grove, Rosa M. Badia, Gheorghe Almási, Jesús Labarta

Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 2011

Exploiting Inherent Task-Based Parallelism in Object-Oriented Programming.

Enric Tejedor, Francesc Lordan, Rosa M. Badia

Proceedings of the 12th IEEE/ACM International Conference on Grid Computing, 2011

A Cloud-unaware Programming Model for Easy Development of Composite Services.

Enric Tejedor, Jorge Ejarque, Francesc Lordan, Roger Rafanell, Javier Álvarez, Daniele Lezzi, Raül Sirvent, Rosa M. Badia

Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2010

Enabling HMMER for the Grid with COMP Superscalar.

Enric Tejedor, Rosa M. Badia, Romina Royo, Josep Lluis Gelpí

Proceedings of the International Conference on Computational Science, 2010

XtreemOS Application Execution Management: A scalable approach.

Ramon Nou, Jacobo Giralt, Julita Corbalán, Enric Tejedor, Josep Oriol Fitó, Josep M. Pérez, Toni Cortes

Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010

2008

COMP Superscalar: Bringing GRID Superscalar and GCM Together.

Enric Tejedor, Rosa M. Badia

Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2007

A Component-Based Integrated Toolkit.

Enric Tejedor, Rosa M. Badia, Thilo Kielmann, Vladimir Getov

Proceedings of the Making Grids Work: Proceedings of the CoreGRID Workshop on Programming Models Grid and P2P System Architecture Grid Systems, 2007