most citedFog Computing on Constrained Devices: Paving the Way for the Future IoT

37 citations · 38 across the 4 of their papers we have counts for

collaborators

6 papers

cs.PL20201 cited

Employing Simulation to Facilitate the Design of Dynamic Code Generators

Vanderson Martins do Rosario, Raphael Zinsly, Sandro Rigo +1

Dynamic Translation (DT) is a sophisticated technique that allows the implementation of high-performance emulators and high-level-language virtual machines. In this technique, the…

cs.DC2020

Accelerating Multi-attribute Unsupervised Seismic Facies Analysis With RAPIDS

Otávio O. Napoli, Vanderson Martins do Rosario, João Paulo Navarro +2

Classification of seismic facies is done by clustering seismic data samples based on their attributes. Year after year, 3D datasets used by exploration geophysics increase in size,…

cs.DC2020

Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads

Vanderson Martins Do Rosario, Thais A. Silva Camacho, Otávio O. Napoli +1

The use of cloud computational resources has become increasingly important for companies and researchers to access on-demand and at any moment high-performance resources. However,…

cs.CY202037 cited

Fog Computing on Constrained Devices: Paving the Way for the Future IoT

Flavia Pisani, Fabiola M. C. de Oliveira, Eduardo S. Gama +3

In the long term, the Internet of Things (IoT) is expected to become an integral part of people's daily lives. In light of this technological advancement, an ever-growing number of…

cs.CV2019

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN)

Vanderson M. do Rosario, Mauricio Breternitz, Edson Borin

Some Deep Neural Networks (DNN) have what we call lanes, or they can be reorganized as such. Lanes are paths in the network which are data-independent and typically learn different…

cs.CV2019

The Multi-Lane Capsule Network (MLCN)

Vanderson Martins do Rosario, Edson Borin, Mauricio Breternitz

We introduce Multi-Lane Capsule Networks (MLCN), which are a separable and resource efficient organization of Capsule Networks (CapsNet) that allows parallel processing, while achi…