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2020 – today
- 2024
[j9]Tommaso Tedeschi
, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto:
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case. Comput. Phys. Commun. 295: 108965 (2024)- 2023
- [j8]Vincenzo Eduardo Padulano, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Javier López-Gómez, Jakob Blomer:
A caching mechanism to exploit object store speed in High Energy Physics analysis. Clust. Comput. 26(5): 2757-2772 (2023) - [j7]Vincenzo Eduardo Padulano, Ivan Donchev Kabadzhov, Enric Tejedor Saavedra, Enrico Guiraud, Pedro Alonso-Jordá:
Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics. J. Grid Comput. 21(1): 9 (2023) - [j6]Vincenzo Eduardo Padulano, Pablo Oliver Cortés, Pedro Alonso-Jordá, Enric Tejedor Saavedra, Sebastián Risco, Germán Moltó:
Leveraging an open source serverless framework for high energy physics computing. J. Supercomput. 79(8): 8940-8965 (2023) - [i3]Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto:
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case. CoRR abs/2307.12579 (2023) - 2022
- [c11]Jacek Kusnierz, Vincenzo Eduardo Padulano, Maciej Malawski, Kamil Burkiewicz, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Michael Pitt, Valentina Avati:
A Serverless Engine for High Energy Physics Distributed Analysis. CCGRID 2022: 575-584 - [i2]Jacek Kusnierz, Vincenzo Eduardo Padulano, Maciej Malawski, Kamil Burkiewicz, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Michael Pitt, Valentina Avati:
A Serverless Engine for High Energy Physics Distributed Analysis. CoRR abs/2206.00942 (2022) - 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) - 2013
- [b1]Enric Tejedor:
Programming and parallelising applications for distributed infrastructures. Polytechnic University of Catalonia, Spain, 2013 - 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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