Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Augusto Berndt"'
Publikováno v:
Integration. 87:293-305
Autor:
Naiara Sachetti, Bryan Martins Lima, Augusto Berndt, Cristina Meinhardt, Jonata Tyska Carvalho
Publikováno v:
Anais do XIV Computer on the Beach - COTB'23.
RESUMOAtualmente, o número elevado de entradas em circuitos digitaistem se tornado um problema cada vez mais comum, demandandonovas soluções para a otimização lógica dos mesmos. Uma técnicaque vem sendo utilizada nos últimos anos é a de Logi
Autor:
Bryan Martins Lima, Naiara Sachetti, Augusto Berndt, Cristina Meinhardt, Jonata Tyska Carvalho
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031295720
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d40a6c22a6a63a94a4773e946b579795
https://doi.org/10.1007/978-3-031-29573-7_10
https://doi.org/10.1007/978-3-031-29573-7_10
Autor:
Isac S. Campos, Augusto Berndt, Brunno A. de Abreu, Jonata T. Carvalho, Mateus Grellert, Cristina Meinhardt
Publikováno v:
2022 IEEE 15th Dallas Circuit And System Conference (DCAS).
Publikováno v:
2021 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI).
Deep neural networks tend to be extensively power and area consuming for their processing hardware. Integrated circuit designers face a considerable challenge when implementing machine learning hardware since DNNs require so many resources. This work
Autor:
Brunno Abreu, Augusto Berndt, Jonata Tyska Carvalho, Cristina Meinhardt, Isac de Souza Campos, Bryan Lima, Mateus Grellert
Publikováno v:
2021 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI).
Logic synthesis tools face tough challenges when providing algorithms for synthesizing circuits with increased inputs and complexity. Traditional approaches for logic synthesis have been in the spotlight so far. However, due to advances in machine le
Autor:
Sergio Bampi, Mateus Grellert, Isac de Souza Campos, Brunno Abreu, Augusto Berndt, Cristina Meinhardt, Jonata Tyska Carvalho
Publikováno v:
ISCAS
This work evaluates the use of Decision Trees (DTs) methods for a fast logic minimization of Boolean functions. The proposed DT approach is compared to traditional Espresso logic minimizer and the minimization algorithms available in the ABC tool. Th
Autor:
Yu-Shan Huang, Guilherme B. Manske, Matheus F. Pontes, Wei Zeng, Isac de Souza Campos, Walter Lau Neto, Satrajit Chatterjee, Zixuan Jiang, Marilton Sanchotene de Aguiar, Mingfei Yu, Brunno Abreu, Alan Mishchenko, Akash Kumar, Yuan Zhou, Xinpei Zhang, Azadeh Davoodi, David Z. Pan, Pierre-Emmanuel Gaillardon, Qingyang Yi, Hoa-Ren Wang, Cristina Meinhardt, Yukio Miyasaka, Aditya Lohana, Augusto Berndt, Zhiru Zhang, Rasit O. Topaloglu, Po-Chun Chien, Jordan Dotzel, Jie-Hong R. Jiang, Jonata Tyska Carvalho, Leomar S. da Rosa, Masahiro Fujita, Valerio Tenace, Jiaqi Gu, Yichi Zhang, Hanyu Wang, Sergio Bampi, Paulo F. Butzen, Shubham Rai, Mateus Grellert, Zheng Zhao
Publikováno v:
DATE
Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is completely-specified, the implementation accurately represents the func
Publikováno v:
SBCCI
This work focuses on optimizing circuits representing neural networks (NNs) in the form of and-inverter graphs (AIGs). The optimization is done by analyzing the training set of the neural network to find constant bit values at the primary inputs. The