Renato Luiz de Freitas Cunha

Principal Research Software Development Engineer

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Publications

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RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

DOI Publication Project Project
Towards a common environment for learning scheduling algorithms

Renato L. de F. Cunha, Luiz Chaimowicz

2020 Modeling, Analysis, and Simulation On Computer and Telecommunication Systems | November 2020

DOI

Estimating Crop Yields With Remote Sensing And Deep Learning

Renato L. de F. Cunha, Bruno Silva

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | October 2020, pp. 59-64

DOI PDF Publication Publication Publication Publication

Predicting Account Receivables with Machine Learning

Ana Paula Appel, Gabriel Louzada Malfatti, Renato L. de F. Cunha, Bruno Lima, Rogério de Paula

August 2020

Publication Publication
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast

Igor Oliveira, Renato L. de F. Cunha, Bruno Silva, Marco A.S. Netto

2018 International Conference on e-Science | September 2018

DOI Publication Publication

Temporally Evolving Community Detection and Prediction in Content-Centric Networks

Ana Paula Appel, Renato L. de F. Cunha, Charu C. Aggarwal, Marcela Megumi Terakado

2018 European Conference on Principles of Data Mining and Knowledge Discovery | September 2018

DOI Publication Publication

An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets

Renato L. de F. Cunha, Eduardo Rocha Rodrigues, Matheus Palhares Viana, Dario Augusto Borges Oliveira

2018 Symposium on Computer Architecture and High Performance Computing | August 2018

DOI Publication

DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast

Eduardo Rocha Rodrigues, Igor Oliveira, Renato L. de F. Cunha, Marco A.S. Netto

2018 International Conference on e-Science | August 2018

DOI Publication Publication

A Search Space Exploration Framework for e-Science Applications

Eric B. Gauch, Bruno E. C. Milanesi, Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

July 2018

DOI Publication

JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications

Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

Future Generation Computer Systems | May 2018, Vol 83: pp. 144-157

DOI Publication Publication Publication Publication Publication

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges

Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato L. de F. Cunha, Rajkumar Buyya

ACM Computing Surveys | January 2018, Vol 51(1): pp. 8

DOI Publication Author's Version
Determining Song Similarity via Machine Learning Techniques and Tagging Information.

Renato L. de F. Cunha, Evandro Caldeira, Luciana Fujii

April 2017

Publication Publication Publication

Job placement advisor based on turnaround predictions for HPC hybrid clouds

Renato L. de F. Cunha, Eduardo Rocha Rodrigues, Leonardo P. Tizzei, Marco A.S. Netto

Future Generation Computer Systems | January 2017, Vol 67: pp. 35-46

DOI Publication Publication Publication Publication
Helping HPC users specify job memory requirements via machine learning

Eduardo Rocha Rodrigues, Renato L. de F. Cunha, Marco A.S. Netto, Michael Spriggs

November 2016

DOI Publication Publication Publication Publication Publication

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments

Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

October 2016

PDF Publication Publication Publication

Managing sensitive applications in the public cloud

Renato L. de F. Cunha, Kirk A. Beaty, Jenny M. Chow, Koushik K. Das, Mark F. Hulber, Ashish Kundu, Vanessa Michelini, Elaine R. Palmer

Ibm Journal of Research and Development | March 2016, Vol 60

DOI Publication Publication Publication

Impact of user patience on auto-scaling resource capacity for cloud services

Marcos D. Assuncao, Carlos Cardonha, Marco A.S. Netto, Renato L. de F. Cunha

Future Generation Computer Systems | January 2016, Vol 55: pp. 41-50

DOI PDF PDF Publication Publication Publication
Deciding When and How to Move HPC Jobs to the Cloud

Marco A.S. Netto, Renato L. de F. Cunha, Nicole Sultanum

IEEE Computer | October 2015, Vol 48(11): pp. 86-89

DOI Publication Publication Publication Publication Publication Publication
Evaluating Auto-scaling Strategies for Cloud Computing Environments

Marco A.S. Netto, Carlos Cardonha, Renato L. de F. Cunha, Marcos D. Assuncao

2014 Modeling, Analysis, and Simulation On Computer and Telecommunication Systems | September 2014

DOI PDF Publication Publication Publication

Exploiting User Patience for Scaling Resource Capacity in Cloud Services

Renato L. de F. Cunha, Marcos D. Assuncao, Carlos Cardonha, Marco A.S. Netto

2014 International Conference on Cloud Computing | June 2014

DOI PDF Publication Publication Publication Publication

RTSMate: Towards an Advice System for RTS Games

Renato L. de F. Cunha, Marlos C. Machado, Luiz Chaimowicz

Computers in Entertainment | February 2014, Vol 12(1): pp. 1-20

DOI Publication Publication
Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom

Carlos Cardonha, Marcos D. Assuncao, Marco A.S. Netto, Renato L. de F. Cunha, Carlos Queiroz

2013 International Conference on Service Oriented Computing | December 2013

DOI Publication Publication Publication Publication
An Artificial Intelligence System to Help the Player of Real-Time Strategy Games

Renato L. de F. Cunha, Luiz Chaimowicz

BRAZILIAN SYMPOSIUM ON GAMES AND DIGITAL ENTERTAINMENT | November 2010

Best paper

DOI PDF PDF Publication Publication Publication Publication Publication

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

DOI Publication Project Project

Towards a common environment for learning scheduling algorithms

Renato L. de F. Cunha, Luiz Chaimowicz

2020 Modeling, Analysis, and Simulation On Computer and Telecommunication Systems | November 2020

DOI

Estimating Crop Yields With Remote Sensing And Deep Learning

Renato L. de F. Cunha, Bruno Silva

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | October 2020, pp. 59-64

DOI PDF Publication Publication Publication Publication

Predicting Account Receivables with Machine Learning

Ana Paula Appel, Gabriel Louzada Malfatti, Renato L. de F. Cunha, Bruno Lima, Rogério de Paula

August 2020

Publication Publication

Temporally Evolving Community Detection and Prediction in Content-Centric Networks

Ana Paula Appel, Renato L. de F. Cunha, Charu C. Aggarwal, Marcela Megumi Terakado

2018 European Conference on Principles of Data Mining and Knowledge Discovery | September 2018

DOI Publication Publication

An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets

Renato L. de F. Cunha, Eduardo Rocha Rodrigues, Matheus Palhares Viana, Dario Augusto Borges Oliveira

2018 Symposium on Computer Architecture and High Performance Computing | August 2018

DOI Publication

JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications

Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

Future Generation Computer Systems | May 2018, Vol 83: pp. 144-157

DOI Publication Publication Publication Publication Publication

Determining Song Similarity via Machine Learning Techniques and Tagging Information.

Renato L. de F. Cunha, Evandro Caldeira, Luciana Fujii

April 2017

Publication Publication Publication

Helping HPC users specify job memory requirements via machine learning

Eduardo Rocha Rodrigues, Renato L. de F. Cunha, Marco A.S. Netto, Michael Spriggs

November 2016

DOI Publication Publication Publication Publication Publication

RTSMate: Towards an Advice System for RTS Games

Renato L. de F. Cunha, Marlos C. Machado, Luiz Chaimowicz

Computers in Entertainment | February 2014, Vol 12(1): pp. 1-20

DOI Publication Publication

An Artificial Intelligence System to Help the Player of Real-Time Strategy Games

Renato L. de F. Cunha, Luiz Chaimowicz

BRAZILIAN SYMPOSIUM ON GAMES AND DIGITAL ENTERTAINMENT | November 2010

Best paper

DOI PDF PDF Publication Publication Publication Publication Publication
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

DOI Publication Project Project
Towards a common environment for learning scheduling algorithms

Renato L. de F. Cunha, Luiz Chaimowicz

2020 Modeling, Analysis, and Simulation On Computer and Telecommunication Systems | November 2020

DOI

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast

Igor Oliveira, Renato L. de F. Cunha, Bruno Silva, Marco A.S. Netto

2018 International Conference on e-Science | September 2018

DOI Publication Publication

DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast

Eduardo Rocha Rodrigues, Igor Oliveira, Renato L. de F. Cunha, Marco A.S. Netto

2018 International Conference on e-Science | August 2018

DOI Publication Publication

A Search Space Exploration Framework for e-Science Applications

Eric B. Gauch, Bruno E. C. Milanesi, Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

July 2018

DOI Publication

JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications

Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

Future Generation Computer Systems | May 2018, Vol 83: pp. 144-157

DOI Publication Publication Publication Publication Publication

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges

Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato L. de F. Cunha, Rajkumar Buyya

ACM Computing Surveys | January 2018, Vol 51(1): pp. 8

DOI Publication Author's Version

Job placement advisor based on turnaround predictions for HPC hybrid clouds

Renato L. de F. Cunha, Eduardo Rocha Rodrigues, Leonardo P. Tizzei, Marco A.S. Netto

Future Generation Computer Systems | January 2017, Vol 67: pp. 35-46

DOI Publication Publication Publication Publication

Helping HPC users specify job memory requirements via machine learning

Eduardo Rocha Rodrigues, Renato L. de F. Cunha, Marco A.S. Netto, Michael Spriggs

November 2016

DOI Publication Publication Publication Publication Publication

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments

Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

October 2016

PDF Publication Publication Publication

Managing sensitive applications in the public cloud

Renato L. de F. Cunha, Kirk A. Beaty, Jenny M. Chow, Koushik K. Das, Mark F. Hulber, Ashish Kundu, Vanessa Michelini, Elaine R. Palmer

Ibm Journal of Research and Development | March 2016, Vol 60

DOI Publication Publication Publication

Impact of user patience on auto-scaling resource capacity for cloud services

Marcos D. Assuncao, Carlos Cardonha, Marco A.S. Netto, Renato L. de F. Cunha

Future Generation Computer Systems | January 2016, Vol 55: pp. 41-50

DOI PDF PDF Publication Publication Publication

Deciding When and How to Move HPC Jobs to the Cloud

Marco A.S. Netto, Renato L. de F. Cunha, Nicole Sultanum

IEEE Computer | October 2015, Vol 48(11): pp. 86-89

DOI Publication Publication Publication Publication Publication Publication

Evaluating Auto-scaling Strategies for Cloud Computing Environments

Marco A.S. Netto, Carlos Cardonha, Renato L. de F. Cunha, Marcos D. Assuncao

2014 Modeling, Analysis, and Simulation On Computer and Telecommunication Systems | September 2014

DOI PDF Publication Publication Publication

Exploiting User Patience for Scaling Resource Capacity in Cloud Services

Renato L. de F. Cunha, Marcos D. Assuncao, Carlos Cardonha, Marco A.S. Netto

2014 International Conference on Cloud Computing | June 2014

DOI PDF Publication Publication Publication Publication

Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom

Carlos Cardonha, Marcos D. Assuncao, Marco A.S. Netto, Renato L. de F. Cunha, Carlos Queiroz

2013 International Conference on Service Oriented Computing | December 2013

DOI Publication Publication Publication Publication
Estimating Crop Yields With Remote Sensing And Deep Learning

Renato L. de F. Cunha, Bruno Silva

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | October 2020, pp. 59-64

DOI PDF Publication Publication Publication Publication

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast

Igor Oliveira, Renato L. de F. Cunha, Bruno Silva, Marco A.S. Netto

2018 International Conference on e-Science | September 2018

DOI Publication Publication

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

DOI Publication Project Project

Predicting Account Receivables with Machine Learning

Ana Paula Appel, Gabriel Louzada Malfatti, Renato L. de F. Cunha, Bruno Lima, Rogério de Paula

August 2020

Publication Publication

A Search Space Exploration Framework for e-Science Applications

Eric B. Gauch, Bruno E. C. Milanesi, Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

July 2018

DOI Publication

Determining Song Similarity via Machine Learning Techniques and Tagging Information.

Renato L. de F. Cunha, Evandro Caldeira, Luciana Fujii

April 2017

Publication Publication Publication

Helping HPC users specify job memory requirements via machine learning

Eduardo Rocha Rodrigues, Renato L. de F. Cunha, Marco A.S. Netto, Michael Spriggs

November 2016

DOI Publication Publication Publication Publication Publication

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments

Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

October 2016

PDF Publication Publication Publication
Towards a common environment for learning scheduling algorithms

Renato L. de F. Cunha, Luiz Chaimowicz

2020 Modeling, Analysis, and Simulation On Computer and Telecommunication Systems | November 2020

DOI

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast

Igor Oliveira, Renato L. de F. Cunha, Bruno Silva, Marco A.S. Netto

2018 International Conference on e-Science | September 2018

DOI Publication Publication

Temporally Evolving Community Detection and Prediction in Content-Centric Networks

Ana Paula Appel, Renato L. de F. Cunha, Charu C. Aggarwal, Marcela Megumi Terakado

2018 European Conference on Principles of Data Mining and Knowledge Discovery | September 2018

DOI Publication Publication

An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets

Renato L. de F. Cunha, Eduardo Rocha Rodrigues, Matheus Palhares Viana, Dario Augusto Borges Oliveira

2018 Symposium on Computer Architecture and High Performance Computing | August 2018

DOI Publication

DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast

Eduardo Rocha Rodrigues, Igor Oliveira, Renato L. de F. Cunha, Marco A.S. Netto

2018 International Conference on e-Science | August 2018

DOI Publication Publication

Evaluating Auto-scaling Strategies for Cloud Computing Environments

Marco A.S. Netto, Carlos Cardonha, Renato L. de F. Cunha, Marcos D. Assuncao

2014 Modeling, Analysis, and Simulation On Computer and Telecommunication Systems | September 2014

DOI PDF Publication Publication Publication

Exploiting User Patience for Scaling Resource Capacity in Cloud Services

Renato L. de F. Cunha, Marcos D. Assuncao, Carlos Cardonha, Marco A.S. Netto

2014 International Conference on Cloud Computing | June 2014

DOI PDF Publication Publication Publication Publication

Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom

Carlos Cardonha, Marcos D. Assuncao, Marco A.S. Netto, Renato L. de F. Cunha, Carlos Queiroz

2013 International Conference on Service Oriented Computing | December 2013

DOI Publication Publication Publication Publication

An Artificial Intelligence System to Help the Player of Real-Time Strategy Games

Renato L. de F. Cunha, Luiz Chaimowicz

BRAZILIAN SYMPOSIUM ON GAMES AND DIGITAL ENTERTAINMENT | November 2010

Best paper

DOI PDF PDF Publication Publication Publication Publication Publication
Estimating Crop Yields With Remote Sensing And Deep Learning

Renato L. de F. Cunha, Bruno Silva

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | October 2020, pp. 59-64

DOI PDF Publication Publication Publication Publication

JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications

Bruno Silva, Marco A.S. Netto, Renato L. de F. Cunha

Future Generation Computer Systems | May 2018, Vol 83: pp. 144-157

DOI Publication Publication Publication Publication Publication

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges

Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato L. de F. Cunha, Rajkumar Buyya

ACM Computing Surveys | January 2018, Vol 51(1): pp. 8

DOI Publication Author's Version

Job placement advisor based on turnaround predictions for HPC hybrid clouds

Renato L. de F. Cunha, Eduardo Rocha Rodrigues, Leonardo P. Tizzei, Marco A.S. Netto

Future Generation Computer Systems | January 2017, Vol 67: pp. 35-46

DOI Publication Publication Publication Publication

Managing sensitive applications in the public cloud

Renato L. de F. Cunha, Kirk A. Beaty, Jenny M. Chow, Koushik K. Das, Mark F. Hulber, Ashish Kundu, Vanessa Michelini, Elaine R. Palmer

Ibm Journal of Research and Development | March 2016, Vol 60

DOI Publication Publication Publication

Impact of user patience on auto-scaling resource capacity for cloud services

Marcos D. Assuncao, Carlos Cardonha, Marco A.S. Netto, Renato L. de F. Cunha

Future Generation Computer Systems | January 2016, Vol 55: pp. 41-50

DOI PDF PDF Publication Publication Publication

Deciding When and How to Move HPC Jobs to the Cloud

Marco A.S. Netto, Renato L. de F. Cunha, Nicole Sultanum

IEEE Computer | October 2015, Vol 48(11): pp. 86-89

DOI Publication Publication Publication Publication Publication Publication

RTSMate: Towards an Advice System for RTS Games

Renato L. de F. Cunha, Marlos C. Machado, Luiz Chaimowicz

Computers in Entertainment | February 2014, Vol 12(1): pp. 1-20

DOI Publication Publication