| An algebraic approach for data-centric scientific workflows E Ogasawara, D De Oliveira, P Valduriez, J Dias, F Porto, M Mattoso Proceedings of the VLDB Endowment (PVLDB) 4 (11), 1328-1339, 2011 | 174 | 2011 |
| Chiron: a parallel engine for algebraic scientific workflows E Ogasawara, J Dias, V Silva, F Chirigati, D De Oliveira, F Porto, ... Concurrency and Computation: Practice and Experience 25 (16), 2327-2341, 2013 | 103 | 2013 |
| Capturing and querying workflow runtime provenance with PROV: a practical approach F Costa, V Silva, D De Oliveira, K Ocaña, E Ogasawara, J Dias, M Mattoso Proceedings of the Joint EDBT/ICDT 2013 Workshops, 282-289, 2013 | 98 | 2013 |
| Dynamic steering of HPC scientific workflows: A survey M Mattoso, J Dias, KACS Ocana, E Ogasawara, F Costa, F Horta, V Silva, ... Future Generation Computer Systems 46, 100-113, 2015 | 79 | 2015 |
| Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows D De Oliveira, KACS Ocana, E Ogasawara, J Dias, J Gonçalves, F Baiao, ... Future Generation Computer Systems 29 (7), 1816-1825, 2013 | 48 | 2013 |
| Supporting dynamic parameter sweep in adaptive and user-steered workflow J Dias, E Ogasawara, D de Oliveira, F Porto, ALGA Coutinho, M Mattoso Proceedings of the 6th workshop on Workflows in support of large-scale …, 2011 | 48 | 2011 |
| Optimizing phylogenetic analysis using scihmm cloud-based scientific workflow KACS Ocaña, D de Oliveira, J Dias, E Ogasawara, M Mattoso 2011 IEEE Seventh International Conference on eScience, 62-69, 2011 | 43 | 2011 |
| Exploring molecular evolution reconstruction using a parallel cloud based scientific workflow KACS Ocaña, D de Oliveira, F Horta, J Dias, E Ogasawara, M Mattoso Advances in Bioinformatics and Computational Biology: 7th Brazilian …, 2012 | 39 | 2012 |
| Uncertainty quantification in computational predictive models for fluid dynamics using a workflow management engine G Guerra, FA Rochinha, R Elias, D De Oliveira, E Ogasawara, JF Dias, ... International Journal for Uncertainty Quantification 2 (1), 2012 | 39 | 2012 |
| User-steering of HPC workflows: state-of-the-art and future directions M Mattoso, K Ocana, F Horta, J Dias, E Ogasawara, V Silva, D de Oliveira, ... Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution …, 2013 | 36 | 2013 |
| Data-centric iteration in dynamic workflows J Dias, G Guerra, F Rochinha, ALGA Coutinho, P Valduriez, M Mattoso Future Generation Computer Systems 46, 114-126, 2015 | 34 | 2015 |
| A performance evaluation of x-ray crystallography scientific workflow using scicumulus D de Oliveira, K Ocana, E Ogasawara, J Dias, F Baiao, M Mattoso 2011 IEEE 4th International Conference on Cloud Computing, 708-715, 2011 | 33 | 2011 |
| Algebraic dataflows for big data analysis J Dias, E Ogasawara, D De Oliveira, F Porto, P Valduriez, M Mattoso 2013 IEEE International Conference on Big Data, 150-155, 2013 | 29 | 2013 |
| Evaluating parameter sweep workflows in high performance computing F Chirigati, V Silva, E Ogasawara, D de Oliveira, J Dias, F Porto, ... Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution …, 2012 | 24 | 2012 |
| Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses KACS Ocaña, D De Oliveira, J Dias, E Ogasawara, M Mattoso Future Generation Computer Systems 29 (8), 2205-2219, 2013 | 21 | 2013 |
| Exploring large scale receptor-ligand pairs in molecular docking workflows in HPC clouds K Ocaña, S Benza, D De Oliveira, J Dias, M Mattoso 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 20 | 2014 |
| Methods and apparatus for analytical processing of provenance data for HPC workflow optimization AEM Ciarlini, JF Dias, PER Salas US Patent 10,013,656, 2018 | 19 | 2018 |
| Automatic caching decision for scientific dataflow execution in apache spark VM Gottin, E Pacheco, J Dias, AEM Ciarlini, B Costa, W Vieira, YM Souto, ... Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for …, 2018 | 15 | 2018 |
| Uncertainty quantification in numerical simulation of particle-laden flows GM Guerra, S Zio, JJ Camata, J Dias, RN Elias, M Mattoso, PL B. Paraizo, ... Computational Geosciences 20, 265-281, 2016 | 14 | 2016 |
| Handling failures in parallel scientific workflows using clouds F Costa, D de Oliveira, K Ocana, E Ogasawara, J Dias, M Mattoso 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 14 | 2012 |
Marta MattosoProfessor of Computer Science, COPPE, Fed University Rio de JaneiroVerified email at cos.ufrj.br
