1 citations · 1 across the 4 of their papers we have counts for
7 papers
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds
Renato L. F. Cunha, Lucas V. Real, Renan Souza +2
Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models. Such notebooks tend to be executed either in…
Using link and content over time for embedding generation in Dynamic Attributed Networks
Ana Paula Appel, Renato L. F. Cunha, Charu C. Aggarwal +1
In this work, we consider the problem of combining link, content and temporal analysis for community detection and prediction in evolving networks. Such temporal and content-rich n…
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications
Bruno Silva, Marco A. S. Netto, Renato L. F. Cunha
High Performance Computing (HPC) applications are essential for scientists and engineers to create and understand models and their properties. These professionals depend on the exe…
Determining Song Similarity via Machine Learning Techniques and Tagging Information
Renato L. F. Cunha, Evandro Caldeira, Luciana Fujii
The task of determining item similarity is a crucial one in a recommender system. This constitutes the base upon which the recommender system will work to determine which items are…
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments
Bruno Silva, Marco A. S. Netto, Renato L. F. Cunha
A common workflow in science and engineering is to (i) setup and deploy large experiments with tasks comprising an application and multiple parameter values; (ii) generate intermed…
Helping HPC Users Specify Job Memory Requirements via Machine Learning
Eduardo R. Rodrigues, Renato L. F. Cunha, Marco A. S. Netto +1
Resource allocation in High Performance Computing (HPC) settings is still not easy for end-users due to the wide variety of application and environment configuration options. Users…