Improving Many-Task computing in scientific workflows using P2P techniques. - Jonas Dias; Eduardo S. Ogasawara; Daniel de Oliveira 001; Esther Pacitti; Marta Mattoso (MTAGS@SC, 2010)

HPC Environment Management: New Challenges in the Petaflop Era. - Jonas Dias; Albino Aveleda (VECPAR, 2010)

A P2P Approach to Many Tasks Computing for Scientific Workflows. - Eduardo S. Ogasawara; Jonas Dias; Daniel de Oliveira 001; Carla Rodrigues; Carlos Pivotto; Rafael Antas; Vanessa Braganholo; Patrick Valduriez; Marta Mattoso (VECPAR, 2010)

A Performance Evaluation of X-Ray Crystallography Scientific Workflow Using SciCumulus. - Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Fernanda Araújo Baião; Marta Mattoso (IEEE CLOUD, 2011)

Optimizing Phylogenetic Analysis Using SciHmm Cloud-based Scientific Workflow. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Jonas Dias; Eduardo S. Ogasawara; Marta Mattoso (eScience, 2011)

Poster: scientific data parallelism using P2P technique. - Jonas Dias; Eduardo S. Ogasawara; Daniel de Oliveira 001; Marta Mattoso (SC Companion, 2011)

Supporting dynamic parameter sweep in adaptive and user-steered workflow. - Jonas Dias; Eduardo S. Ogasawara; Daniel de Oliveira 001; Fábio Porto 001; Alvaro L. G. A. Coutinho; Marta Mattoso (WORKS@SC, 2011)

An Algebraic Approach for Data-Centric Scientific Workflows. - Eduardo S. Ogasawara; Daniel de Oliveira 001; Patrick Valduriez; Jonas Dias; Fábio Porto 001; Marta Mattoso (Proc. VLDB Endow., 2011)

Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Jonas Dias; Eduardo S. Ogasawara; Marta Mattoso (eScience, 2012)

Using Provenance Analyzers to Improve the Performance of Scientific Workflows in Cloud Environments. - João Carlos de A. R. Gonçalves; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (SBBD (Short Papers), 2012)

Handling Failures in Parallel Scientific Workflows Using Clouds. - Flavio Costa; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (SC Companion, 2012)

Abstract: Using Provenance to Visualize Data from Large-Scale Experiments. - Felipe Horta; Jonas Dias; Kary A. C. S. Ocaña; Daniel de Oliveira 001; Eduardo S. Ogasawara; Marta Mattoso (SC Companion, 2012)

Evaluating parameter sweep workflows in high performance computing. - Fernando Chirigati; Vítor Silva 003; Eduardo S. Ogasawara; Daniel de Oliveira 001; Jonas Dias; Fábio Porto 001; Patrick Valduriez; Marta Mattoso (SWEET@SIGMOD, 2012)

Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Felipe Horta; Jonas Dias; Eduardo S. Ogasawara; Marta Mattoso (BSB, 2012)

Ontology-based Semi-automatic Workflow Composition. - Daniel de Oliveira 001; Eduardo S. Ogasawara; Jonas Dias; Fernanda Araújo Baião; Marta Mattoso (J. Inf. Data Manag., 2012)

Algebraic dataflows for big data analysis. - Jonas Dias; Eduardo S. Ogasawara; Daniel de Oliveira 001; Fábio Porto 001; Patrick Valduriez; Marta Mattoso (IEEE BigData, 2013)

Capturing and querying workflow runtime provenance with PROV: a practical approach. - Flavio Costa; Vítor Silva 003; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (EDBT/ICDT Workshops, 2013)

Provenance traces from Chiron parallel workflow engine. - Felipe Horta; Vítor Silva 003; Flavio Costa; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (EDBT/ICDT Workshops, 2013)

User-steering of HPC workflows: state-of-the-art and future directions. - Marta Mattoso; Kary A. C. S. Ocaña; Felipe Horta; Jonas Dias; Eduardo S. Ogasawara; Vítor Silva 003; Daniel de Oliveira 001; Flavio Costa; Igor Araújo (SWEET@SIGMOD, 2013)

Runtime Dynamic Structural Changes of Scientific Workflows in Clouds. - Igor Dos Santos; Jonas Dias; Daniel de Oliveira 001; Eduardo S. Ogasawara; Kary A. C. S. Ocaña; Marta Mattoso (UCC, 2013)

Chiron: a parallel engine for algebraic scientific workflows. - Eduardo S. Ogasawara; Jonas Dias; Vítor Silva 003; Fernando Seabra Chirigati; Daniel de Oliveira 001; Fábio Porto 001; Patrick Valduriez; Marta Mattoso (Concurr. Comput. Pract. Exp., 2013)

Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Jonas Dias; Eduardo S. Ogasawara; Marta Mattoso (Future Gener. Comput. Syst., 2013)

Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows. - Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; João Carlos de A. R. Gonçalves; Fernanda Araújo Baião; Marta Mattoso (Future Gener. Comput. Syst., 2013)

Performance Analysis of Data Filtering in Scientific Workflows. - João Carlos de A. R. Gonçalves; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (J. Inf. Data Manag., 2013)

Exécution interactive pour expériences computationnelles à grande échelleInteractive Execution for Large Scale Computational Experiments. - Jonas Dias (2013)

Exploring Large Scale Receptor-Ligand Pairs in Molecular Docking Workflows in HPC Clouds. - Kary A. C. S. Ocaña; Silvia Benza; Daniel de Oliveira 001; Jonas Dias; Marta Mattoso (IPDPS Workshops, 2014)

Data-centric iteration in dynamic workflows. - Jonas Dias; Gabriel Guerra; Fernando Rochinha; Alvaro L. G. A. Coutinho; Patrick Valduriez; Marta Mattoso (Future Gener. Comput. Syst., 2015)

Dynamic steering of HPC scientific workflows: A survey. - Marta Mattoso; Jonas Dias; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Flavio Costa; Felipe Horta; Vítor Silva 003; Daniel de Oliveira 001 (Future Gener. Comput. Syst., 2015)

Automatic Caching Decision for Scientific Dataflow Execution in Apache Spark. - Vinicius M. Gottin; Edward Pacheco; Jonas Dias; Angelo E. M. Ciarlini; Bruno Costa 003; Wagner Vieira; Yania Molina Souto; Paulo F. Pires; Fábio Porto 001; João Guilherme Nobre Rittmeyer (BeyondMR@SIGMOD, 2018)