Jonas Dias

Publication Activity (10 Years)

Years Active: 2010-2018
Publications (10 Years): 1

Top Venues

Future Gener. Comput. Syst.

J. Inf. Data Manag.

SWEET@SIGMOD

SC Companion

Federal University of Rio de Janeiro, Brazil (PHD)

Education History

Federal University of Rio de Janeiro, Brazil

PHD

Publications

Vinicius M. Gottin, Edward Pacheco, Jonas Dias, Angelo E. M. Ciarlini, Bruno Costa, Wagner Vieira, Yania Molina Souto, Paulo F. Pires, Fábio Porto, João Guilherme Nobre Rittmeyer
Automatic Caching Decision for Scientific Dataflow Execution in Apache Spark. BeyondMR@SIGMOD (2018)
Marta Mattoso, Jonas Dias, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Flavio Costa, Felipe Horta, Vítor Silva, Daniel de Oliveira
Dynamic steering of HPC scientific workflows: A survey. Future Gener. Comput. Syst. 46 (2015)
Jonas Dias, Gabriel Guerra, Fernando Rochinha, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso
Data-centric iteration in dynamic workflows. Future Gener. Comput. Syst. 46 (2015)
Kary A. C. S. Ocaña, Silvia Benza, Daniel de Oliveira, Jonas Dias, Marta Mattoso
Exploring Large Scale Receptor-Ligand Pairs in Molecular Docking Workflows in HPC Clouds. IPDPS Workshops (2014)
Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, João Carlos de A. R. Gonçalves, Fernanda Araujo Baião, Marta Mattoso
Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows. Future Gener. Comput. Syst. 29 (7) (2013)
Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso
Algebraic dataflows for big data analysis. IEEE BigData (2013)
João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Performance Analysis of Data Filtering in Scientific Workflows. J. Inf. Data Manag. 4 (1) (2013)
Eduardo S. Ogasawara, Jonas Dias, Vítor Silva, Fernando Seabra Chirigati, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso
Chiron: a parallel engine for algebraic scientific workflows. Concurr. Comput. Pract. Exp. 25 (16) (2013)
Igor Dos Santos, Jonas Dias, Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso
Runtime Dynamic Structural Changes of Scientific Workflows in Clouds. UCC (2013)
Flavio Costa, Vítor Silva, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Capturing and querying workflow runtime provenance with PROV: a practical approach. EDBT/ICDT Workshops (2013)
Marta Mattoso, Kary A. C. S. Ocaña, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Vítor Silva, Daniel de Oliveira, Flavio Costa, Igor Araújo
User-steering of HPC workflows: state-of-the-art and future directions. SWEET@SIGMOD (2013)
Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses. Future Gener. Comput. Syst. 29 (8) (2013)
Felipe Horta, Vítor Silva, Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Provenance traces from Chiron parallel workflow engine. EDBT/ICDT Workshops (2013)
Fernando Chirigati, Vítor Silva, Eduardo S. Ogasawara, Daniel de Oliveira, Jonas Dias, Fábio Porto, Patrick Valduriez, Marta Mattoso
Evaluating parameter sweep workflows in high performance computing. SWEET@SIGMOD (2012)
Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Handling Failures in Parallel Scientific Workflows Using Clouds. SC Companion (2012)
João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Using Provenance Analyzers to Improve the Performance of Scientific Workflows in Cloud Environments. SBBD (Short Papers) (2012)
Felipe Horta, Jonas Dias, Kary A. C. S. Ocaña, Daniel de Oliveira, Eduardo S. Ogasawara, Marta Mattoso
Abstract: Using Provenance to Visualize Data from Large-Scale Experiments. SC Companion (2012)
Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow. eScience (2012)
Kary A. C. S. Ocaña, Daniel de Oliveira, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow. BSB (2012)
Daniel de Oliveira, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araujo Baião, Marta Mattoso
Ontology-based Semi-automatic Workflow Composition. J. Inf. Data Manag. 3 (1) (2012)
Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Alvaro L. G. A. Coutinho, Marta Mattoso
Supporting dynamic parameter sweep in adaptive and user-steered workflow. WORKS@SC (2011)
Eduardo S. Ogasawara, Daniel de Oliveira, Patrick Valduriez, Jonas Dias, Fábio Porto, Marta Mattoso
An Algebraic Approach for Data-Centric Scientific Workflows. Proc. VLDB Endow. 4 (12) (2011)
Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araujo Baião, Marta Mattoso
A Performance Evaluation of X-Ray Crystallography Scientific Workflow Using SciCumulus. IEEE CLOUD (2011)
Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Marta Mattoso
Poster: scientific data parallelism using P2P technique. SC Companion (2011)
Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
Optimizing Phylogenetic Analysis Using SciHmm Cloud-based Scientific Workflow. eScience (2011)
Eduardo S. Ogasawara, Jonas Dias, Daniel de Oliveira, Carla Rodrigues, Carlos Pivotto, Rafael Antas, Vanessa Braganholo, Patrick Valduriez, Marta Mattoso
A P2P Approach to Many Tasks Computing for Scientific Workflows. VECPAR (2010)
Jonas Dias, Albino Aveleda
HPC Environment Management: New Challenges in the Petaflop Era. VECPAR (2010)
Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Marta Mattoso
Improving Many-Task computing in scientific workflows using P2P techniques. MTAGS@SC (2010)

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Publication Activity (10 Years)

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Jonas Dias