Renato L. F. Cunha

According to our database1, Renato L. F. Cunha authored at least 15 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications.
Future Generation Comp. Syst., 2018

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges.
ACM Comput. Surv., 2018

An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Temporally Evolving Community Detection and Prediction in Content-Centric Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

Job placement advisor based on turnaround predictions for HPC hybrid clouds.
Future Generation Comp. Syst., 2017

Managing sensitive applications in the public cloud.
IBM Journal of Research and Development, 2016

Impact of user patience on auto-scaling resource capacity for cloud services.
Future Generation Comp. Syst., 2016

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments.
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016

Helping HPC Users Specify Job Memory Requirements via Machine Learning.
Proceedings of the 2016 Third International Workshop on HPC User Support Tools, 2016

Deciding When and How to Move HPC Jobs to the Cloud.
IEEE Computer, 2015

Evaluating Auto-scaling Strategies for Cloud Computing Environments.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

Exploiting User Patience for Scaling Resource Capacity in Cloud Services.
Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom.
Proceedings of the Service-Oriented Computing - 11th International Conference, 2013