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English Information

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Authors
# Name
1 Sergio Canuto(sergiodaniel@dcc.ufmg.br)
2 Marcos Gonçalves(mgoncalv@dcc.ufmg.br)
3 Thierson Rosa(thierson@inf.ufg.br)

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Reference
# Reference
1 Atkinson, M., Gesing, S., Montagnat, J., and Taylor, I. (2017). Scientific workflows: Past, present and future. Future Generation Computer Systems, 75:216–227.
2 Camata, J. J., Silva, V., Valduriez, P., Mattoso, M., and Coutinho, A. L. G. A. (2018). In situ visualization and data analysis for turbidity currents simulation. Computers & Geosciences, 110:23–31.
3 Deelman, E., Peterka, T., Altintas, I., Carothers, C. D., Kleese van Dam, K., Moreland, K., Parashar, M., Ramakrishnan, L., Taufer, M., and Vetter, J. (2017). The future of scientific workflows. International Journal of HPC Applications, 32(1):159–175.
4 F. da Silva, R., Filgueira, R., Pietri, I., Jiang, M., Sakellariou, R., and Deelman, E. (2017). A characterization of workflow management systems for extreme-scale applications. Future Generation Computer Systems, 75:228–238.
5 Ogasawara, E., Dias, J., Oliveira, D., Porto, F., Valduriez, P., and Mattoso, M. (2011). An algebraic approach for data-centric scientific workflows. PVLDB, 4(12):1328–1339.
6 Rüde, U., Willcox, K., McInnes, L. C., and Sterck, H. D. (2018). Research and education in computational science and engineering. SIAM Review, 60(3):707–754.
7 Silva, V., de Oliveira, D., Valduriez, P., and Mattoso, M. (2018a). DfAnalyzer: runtime dataflow analysis of scientific applications using provenance. PVLDB, 11(12):2082–2085.
8 Silva, V., Neves, L., Souza, R., Coutinho, A., de Oliveira, D., and Mattoso, M. (2018b). Adding domain data to code profiling tools to debug workflow parallel execution. Future Generation Computer Systems, 110:422–439.
9 Silva, V., Neves, L., Souza, R., Coutinho, A., Oliveira, D. D., and Mattoso, M. (2016). Integrating domain-data steering with code-profiling tools to debug data-intensive workflows. In Workflows in Support of Large-Scale Science (WORKS) at ACM/IEEE Supercomputing.
10 Silva, V., Souza, R., Camata, J., de Oliveira, D., Valduriez, P., Coutinho, A., and Mattoso, M. (2018c). Capturing provenance for runtime data analysis in computational science and engineering applications. In International Provenance and Annotation Workshop (IPAW), pages 183–187.