Plínio Silveira

According to our database, Plínio Silveira authored at least 6 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Resource Sharing and Security Implications on Machine Learning Inference Accelerators.

Plínio Silveira, César Augusto Fonticielha De Rose, Avelino Francisco Zorzo, Miguel Gomes Xavier, Dejan S. Milojicic, Sai Rahul Chalamalasetti, Sergey Serebryakov

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators.

Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Evaluating Edge-Cloud Computing Trade-Offs for Mobile Object Detection and Classification with Deep Learning.

Whendell F. Magalhães, Mainara Farias, Leandro Balby Marinho, Herman Martins Gomes, Glaucimar Aguiar, Plínio Silveira

J. Inf. Data Manag., 2020

Evaluating the Emergence of Winning Tickets by Structured Pruning of Convolutional Networks.

Whendell F. Magalhães, Jeferson Ferreira, Herman Martins Gomes, Leandro Balby Marinho, Plínio Silveira

Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

2019

FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator.

Martin Foltin, Glaucimar Aguiar, Rodrigo Antunes, Plínio Silveira, Gustavo Knuppe, Joao Ambrosi, Soumitra Chatterjee, Jitendra Onkar Kolhe, Sunil Lakshiminarashimha, Dejan S. Milojicic, John Paul Strachan, Craig Warner, Amit Sharma, Eddie Lee, Sai Rahul Chalamalasetti, Chris Brueggen, Charles Williams, Nathaniel Jansen, Felipe Saenz, Luis Federico Li

Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

2018

Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning.

Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic, Mohan Parthasarathy, Filipe Ribeiro, Lucas Rosa, Kaushik Roy, Plínio Silveira, John Paul Strachan

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018