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	inria-00416494v1 Conference papers Marta Mattoso, Esther Pacitti, Patrick Valduriez, Reza Akbarinia, Vanessa Braganholo et al. SARAVÁ: data sharing for online communities in P2P Colloquium of Computation: Brazil / INRIA, Cooperations, Advances and Challenges, Jul 2009, Rio Grande do Sul, Brazil. pp.5
	lirmm-01620224v1 Journal articles Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso. Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud Transactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, 2017, 33, pp.80-112. ⟨10.1109/IPDPS.2007.370305⟩
	hal-01395715v1 Conference papers Luis Pineda-Morales, Ji Liu, Alexandru Costan, Esther Pacitti, Gabriel Antoniu et al. Managing Hot Metadata for Scientific Workflows on Multisite Clouds Big Data, Dec 2016, Washington, DC, United States. pp.390-397, ⟨10.1109/BigData.2016.7840628⟩
	hal-02094966v1 Software Daniel de Oliveira, Vítor Silva, Patrick Valduriez, Marta Mattoso. DfAnalyzer 2018
	lirmm-01400538v1 Conference papers Renan Souza, Vítor Silva, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso. Online Input Data Reduction in Scientific Workflows WORKS: Workflows in Support of Large-scale Science, Nov 2016, Salt Lake City, United States
	hal-01024101v2 Reports Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso. Parallelization of Scientific Workflows in the Cloud [Research Report] RR-8565, INRIA. 2014
	lirmm-01620127v1 Journal articles José Camata, Vitor Silva, Patrick Valduriez, Marta Mattoso, Alvaro L. G. A. Coutinho. In situ visualization and data analysis for turbidity currents simulation Computers & Geosciences, Elsevier, 2018, 110, pp.23-31. ⟨10.1016/j.cageo.2017.09.013⟩
	lirmm-01181231v1 Journal articles Vitor Silva, Daniel De Oliveira, Patrick Valduriez, Marta Mattoso. Analyzing Related Raw Data Files through Dataflows Concurrency and Computation: Practice and Experience, Wiley, 2016, 28 (8), pp.2528-2545. ⟨10.1002/cpe.3616⟩
	lirmm-01409092v1 Conference papers Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso. Scientific Workflow Execution with Multiple Objectives in Multisite Clouds BDA: Gestion de Données — Principes, Technologies et Applications, LIAS / ISAE-ENSMA, Poitiers, Nov 2016, Poitiers, France
	inria-00482184v1 Conference papers Melissa Paes, Alexandre A. Lima, Patrick Valduriez, Marta Mattoso. High-Performance Query Processing of a Real-World OLAP Database with ParGRES 8th International Conference on High Performance Computing for Computational Science - VECPAR 2008,, Jun 2008, Toulouse, France. pp.188-200, ⟨10.1007/978-3-540-92859-1_18⟩
	hal-00483425v1 Conference papers Nelson Kotowski, Alexandre A. B Lima, Esther Pacitti, Marta Mattoso, Patrick Valduriez. OLAP Query Processing in Grids 3rd VLDB Workshop on Data Management in Grids, Sep 2007, Austria
	lirmm-02335500v1 Conference papers Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton Soares, Raphael Thiago et al. Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering WORKS 2019 - Workflows in Support of Large-Scale Science co-located with SC 2019 - ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis, Nov 2019, Denver, United States. pp.10
	lirmm-00806557v1 Journal articles Eduardo Ogasawara, Dias Jonas, Vitor Silva, Chirigati Fernando, Oliveira Daniel De et al. Chiron: A Parallel Engine for Algebraic Scientific Workflows Concurrency and Computation: Practice and Experience, Wiley, 2013, 25 (16), pp.2327-2341. ⟨10.1002/cpe.3032⟩
	lirmm-00641030v1 Conference papers Jonas Dias, Carla Rodrigues, Eduardo Ogasawara, Daniel De Oliveira, Vanessa Braganholo et al. SciMulator: Um Ambiente de Simulação de Workflows Científicos em Redes P2P VI Workshop de Redes Dinâmicas e Sistemas Peer-to-Peer 2010, May 2010, Gramado, Brazil. pp.12
	inria-00473481v1 Journal articles Esther Pacitti, Patrick Valduriez, Marta Mattoso. Grid Data Management: Open Problems and New Issues Journal of Grid Computing, Springer Verlag, 2007, 5 (3), pp.273-281
	lirmm-03108922v1 Conference papers Vítor Silva, Renan Souza, Jose Camata, Daniel de Oliveira, Patrick Valduriez et al. Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications 7th International Provenance and Annotation Workshop (IPAW), Jul 2018, London, United Kingdom. pp.183-187, ⟨10.1007/978-3-319-98379-0_15⟩
	lirmm-03443660v1 Journal articles Liliane Kunstmann, Débora Pina, Filipe Silva, Aline Paes, Patrick Valduriez et al. Online Deep Learning Hyperparameter Tuning based on Provenance Analysis Journal of Information and Data Management, Brazilian Computer Society, 2021, 12 (5), pp.396-414. ⟨10.5753/jidm.2021.1924⟩
	lirmm-03324881v1 Journal articles Renan Souza, Leonardo G Azevedo, Vítor Lourenço, Elton Soares, Raphael Thiago et al. Workflow Provenance in the Lifecycle of Scientific Machine Learning Concurrency and Computation: Practice and Experience, Wiley, 2021, ⟨10.1002/cpe.6544⟩
	lirmm-02969506v1 Conference papers Débora Pina, Liliane Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso. Uma abordagem para coleta e análise de dados de configurações em redes neurais profundas SBBD 2020 - 35ª Simpósio Brasileiro de Banco de Dados, Sep 2020, Virtual, Brazil. pp.1-6
	lirmm-01073638v1 Journal articles Jonas Dias, Gabriel Guerra, Fernando Rochinha, Alvaro Coutinho, Patrick Valduriez et al. Data-Centric Iteration in Dynamic Workflows Future Generation Computer Systems, Elsevier, 2015, 46, pp.114-126. ⟨10.1016/j.future.2014.10.021⟩
	lirmm-01679967v1 Journal articles Renan Souza, Vitor Silva, Alvaro Luiz Gayoso de Azeredo Coutinho, Patrick Valduriez, Marta Mattoso. Data reduction in scientific workflows using provenance monitoring and user steering Future Generation Computer Systems, Elsevier, 2020, 110, pp.481-501. ⟨10.1016/j.future.2017.11.028⟩
	lirmm-01445219v1 Journal articles Vítor J Silva, José J Leite, José J Camata, Daniel de Oliveira, Alvaro L G A Coutinho et al. Raw data queries during data-intensive parallel workflow execution Future Generation Computer Systems, Elsevier, 2017, 75, pp.402-422. ⟨10.1016/j.future.2017.01.016⟩
	hal-00684957v1 Conference papers Alexandre A. B. Lima, Marta Mattoso, Patrick Valduriez. Adaptive Virtual Partitioning for OLAP Query Processing in a Database Cluster SBBD 2004, Oct 2004, Brasilia, Brazil. pp.92-105
	inria-00482186v1 Journal articles Camille Furtado, Alexandre A. Lima, Esther Pacitti, Patrick Valduriez, Marta Mattoso. Adaptive hybrid partitioning for OLAP query processing in a database cluster International Journal of High Performance Computing and Networking, Inderscience, 2008, 5 (4), pp.251-262. ⟨10.1504/IJHPCN.2008.022301⟩
	inria-00482187v1 Conference papers Bernardo Miranda, Alexandre A. Lima, Patrick Valduriez, Marta Mattoso. Apuama: Combining Intra-query and Inter-query Parallelism in a Database Cluster EDBT Workshops, EDBT, Mar 2006, Munich, Germany. pp.649-661, ⟨10.1007/11896548_49⟩
	lirmm-03443548v1 Conference papers Rômulo M. Silva, Débora Pina, Liliane Kunstmann, Daniel de Oliveira, Patrick Valduriez et al. Capturing Provenance to Improve the Model Training of PINNs: first handon experiences with Grid5000 42nd Ibero-Latin-American Congress on Computational Methods in Engineering and 3rd Pan American Congress on Computational Mechanics, Nov 2021, Rio de Janeiro, Brazil. pp.1-7
	lirmm-01867717v1 Journal articles Ji Liu, Luis Pineda, Esther Pacitti, Alexandru Costan, Patrick Valduriez et al. Efficient Scheduling of Scientific Workflows using Hot Metadata in a Multisite Cloud IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2019, 31 (10), pp.1940-1953. ⟨10.1109/TKDE.2018.2867857⟩
	lirmm-03227618v1 Journal articles Renan Souza, Vitor Silva, Alexandre Lima, Daniel de Oliveira, Patrick Valduriez et al. Distributed in-memory data management for workflow executions PeerJ Computer Science, PeerJ, 2021, 7, pp.e527. ⟨10.7717/peerj-cs.527⟩
	lirmm-00857221v1 Conference papers Dias Jonas, Eduardo Ogasawara, Oliveira Daniel De, Fabio Porto, Patrick Valduriez et al. Algebraic Dataflows for Big Data Analysis IEEE BigData, Oct 2013, Santa Clara, United States. pp.6, ⟨10.1109/BigData.2013.6691567⟩
	lirmm-01342203v1 Journal articles Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso. Multi-Objective Scheduling of Scientific Workflows in Multisite Clouds Future Generation Computer Systems, Elsevier, 2016, 63, pp.76-95. ⟨10.1016/j.future.2016.04.014⟩
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