Author:
Souza Renan,Mattoso Marta
Publisher
Springer International Publishing
Reference29 articles.
1. Jagadish, H.V., et al.: Big data and its technical challenges. Commun. ACM 57, 86–94 (2014)
2. Mattoso, M., et al.: Dynamic steering of HPC scientific workflows: a survey. FGCS 46, 100–113 (2015)
3. Souza, R., Silva, V., Camata, J., Coutinho, A., Valduriez, P., Mattoso, M.: Tracking of online parameter tuning in scientific workflows. In: Works in ACM/IEEE Supercomputing Workshops (2017)
4. Dias, J., Guerra, G., Rochinha, F., Coutinho, A.L.G.A., Valduriez, P., Mattoso, M.: Data-centric iteration in dynamic workflows. FGCS 46, 114–126 (2015)
5. Souza, R., Silva, V., Coutinho, A.L.G.A., Valduriez, P., Mattoso, M.: Data reduction in scientific workflows using provenance monitoring and user steering. FGCS 1–34 (2017). https://doi.org/10.1016/j.future.2017.11.028
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