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Plínio Silveira
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2020 – today
- 2021
- [c5]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: 372-377 - [c4]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: 59-67 - 2020
- [j1]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) - [c3]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: 272-279
2010 – 2019
- 2019
- [c2]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: 44-53 - 2018
- [c1]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: 1-13
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