Plínio Silveira

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 6

Top Topics

Machine Learning

Cloud Computing

Printed Circuit

Inference Process

Top Venues

Publications

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
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC (2021)
Plínio Silveira, César Augusto Fonticielha De Rose, Avelino Francisco Zorzo, Miguel Gomes Xavier, Dejan S. Milojicic, Sai Rahul Chalamalasetti, Sergey Serebryakov
Resource Sharing and Security Implications on Machine Learning Inference Accelerators. COMPSAC (2021)
Whendell F. Magalhães, Mainara Farias, Leandro Balby Marinho, Herman Martins Gomes, Glaucimar Aguiar, Plínio Silveira
Evaluating Edge-Cloud Computing Trade-Offs for Mobile Object Detection and Classification with Deep Learning. J. Inf. Data Manag. 11 (1) (2020)
Whendell F. Magalhães, Jeferson Ferreira, Herman Martins Gomes, Leandro Balby Marinho, Plínio Silveira
Evaluating the Emergence of Winning Tickets by Structured Pruning of Convolutional Networks. SIBGRAPI (2020)
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
FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator. ICRC (2019)
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
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC (2018)