145 citations · 148 across the 6 of their papers we have counts for
6 papers
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast
Eduardo R. Rodrigues, Igor Oliveira, Renato L. F. Cunha +1
Running high-resolution physical models is computationally expensive and essential for many disciplines. Agriculture, transportation, and energy are sectors that depend on high-res…
An argument in favor of strong scaling for deep neural networks with small datasets
Renato L. de F. Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana +1
In recent years, with the popularization of deep learning frameworks and large datasets, researchers have started parallelizing their models in order to train faster. This is cruci…
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues +2
High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research effo…
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…
Dynamic Load Balancing in GPU-Based Systems - Early Experiments
Alvaro Luiz Fazenda, Celso L. Mendes, Laxmikant V. Kale +2
The dynamic load-balancing framework in Charm++/AMPI, developed at the University of Illinois, is based on using processor virtualization to allow thread migration across processor…