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Enric Tejedor
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2020 – today
- 2021
- [c10]Jacek Kusnierz, Maciej Malawski, Vincenzo Eduardo Padulano, Enric Tejedor Saavedra, Pedro Alonso-Jordá:
Distributed Parallel Analysis Engine for High Energy Physics Using AWS Lambda. HiPS@HPDC 2021: 13-16
2010 – 2019
- 2019
- [c9]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:
Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case. Euro-Par 2019: 241-255 - 2018
- [j5]Danilo Piparo, Enric Tejedor, Pere Mato, Luca Mascetti, Jakub T. Moscicki, Massimo Lamanna:
SWAN: A service for interactive analysis in the cloud. Future Gener. Comput. Syst. 78: 1071-1078 (2018) - [c8]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:
Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment. UCC Companion 2018: 5-6 - [i1]Guilherme Amadio, Brian Bockelman, Philippe Canal, Danilo Piparo, Enric Tejedor, Zhe Zhang:
Increasing Parallelism in the ROOT I/O Subsystem. CoRR abs/1804.03326 (2018) - 2017
- [j4]Enric Tejedor, Yolanda Becerra
, Guillem Alomar, Anna Queralt
, Rosa M. Badia
, Jordi Torres, Toni Cortes
, Jesús Labarta:
PyCOMPSs: Parallel computational workflows in Python. Int. J. High Perform. Comput. Appl. 31(1): 66-82 (2017) - 2016
- [j3]Enric Tejedor, Javier Álvarez, Rosa M. Badia:
Infrastructure-Agnostic Programming and Interoperable Execution in Heterogeneous Grids. Comput. Informatics 35(4): 986-1004 (2016) - 2014
- [j2]Francesc Lordan
, Enric Tejedor, Jorge Ejarque
, Roger Rafanell, Javier Álvarez
, Fabrizio Marozzo
, Daniele Lezzi
, Raül Sirvent
, Domenico Talia
, Rosa M. Badia
:
ServiceSs: An Interoperable Programming Framework for the Cloud. J. Grid Comput. 12(1): 67-91 (2014) - 2012
- [j1]Enric Tejedor, Montse Farreras, David Grove
, Rosa M. Badia
, Gheorghe Almási, Jesús Labarta
:
A high-productivity task-based programming model for clusters. Concurr. Comput. Pract. Exp. 24(18): 2421-2448 (2012) - 2011
- [c7]Enric Tejedor, Jorge Ejarque
, Francesc Lordan
, Roger Rafanell, Javier Álvarez
, Daniele Lezzi
, Raül Sirvent
, Rosa M. Badia
:
A Cloud-unaware Programming Model for Easy Development of Composite Services. CloudCom 2011: 375-382 - [c6]Enric Tejedor, Francesc Lordan
, Rosa M. Badia
:
Exploiting Inherent Task-Based Parallelism in Object-Oriented Programming. GRID 2011: 74-81 - [c5]Enric Tejedor, Montse Farreras, David Grove, Rosa M. Badia
, Gheorghe Almási, Jesús Labarta
:
ClusterSs: a task-based programming model for clusters. HPDC 2011: 267-268 - 2010
- [c4]Ramon Nou
, Jacobo Giralt, Julita Corbalán
, Enric Tejedor, Josep Oriol Fitó, Josep M. Pérez, Toni Cortes
:
XtreemOS Application Execution Management: A scalable approach. GRID 2010: 49-56 - [c3]Enric Tejedor, Rosa M. Badia, Romina Royo, Josep Lluis Gelpí:
Enabling HMMER for the Grid with COMP Superscalar. ICCS 2010: 2629-2638
2000 – 2009
- 2008
- [c2]Enric Tejedor, Rosa M. Badia
:
COMP Superscalar: Bringing GRID Superscalar and GCM Together. CCGRID 2008: 185-193 - 2007
- [c1]Enric Tejedor, Rosa M. Badia, Thilo Kielmann, Vladimir Getov:
A Component-Based Integrated Toolkit. CoreGRID Workshop - Making Grids Work 2007: 139-151
Coauthor Index

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