16 citations · 29 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds
Renato L. F. Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei +1
Several companies and research institutes are moving their CPU-intensive applications to hybrid High Performance Computing (HPC) cloud environments. Such a shift depends on the cre…
Patience-aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom
Carlos Cardonha, Marcos D. Assunção, Marco A. S. Netto +2
Scheduling of service requests in Cloud computing has traditionally focused on the reduction of pre-service wait, generally termed as waiting time. Under certain conditions such as…