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Rafael Fao de Moura
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2020 – today
- 2024
- [j6]Rafael Fão de Moura
, Luigi Carro
Reprogrammable Non-Linear Circuits Using ReRAM for NN Accelerators. ACM Trans. Reconfigurable Technol. Syst. 17(1): 7:1-7:19 (2024) - 2023
- [j5]Rafael Fão de Moura
Data and Computation Reuse in CNNs Using Memristor TCAMs. ACM Trans. Reconfigurable Technol. Syst. 16(1): 14:1-14:24 (2023) - [c13]Rafael Fão de Moura, Luigi Carro:
Scalable and Energy-Efficient NN Acceleration with GPU-ReRAM Architecture. ARC 2023: 230-244 - [c12]Rafael Fão de Moura, Luigi Carro:
Closing the Capacity Gap: A Transforming Technique for ReRAM-Friendly NNs. SAMOS 2023: 45-56 - 2022
- [c11]Rafael Fão de Moura, Luigi Carro:
Exploiting Heterogeneity in PIM Architectures for Data-Intensive Applications. IESS 2022: 53-64 - [c10]Rafael Fão de Moura, João Paulo C. de Lima, Luigi Carro:
Memristor-only LSTM Acceleration with Non-linear Activation Functions. IESS 2022: 89-100 - 2021
- [j4]Paulo C. Santos
Enabling Near-Data Accelerators Adoption by Through Investigation of Datapath Solutions. Int. J. Parallel Program. 49(2): 237-252 (2021) - 2020
- [j3]João Paulo Cardoso de Lima
Analog Memristive CAMs for Area- and Energy-Efficient Reconfigurable Computing. IEEE Trans. Circuits Syst. II Express Briefs 67-II(5): 856-860 (2020) - [c9]João Paulo Cardoso de Lima, Rafael Fão de Moura, Luigi Carro:
Leveraging reuse and endurance by efficient mapping and placement for NVM-based FPGAs. IOLTS 2020: 1-6
2010 – 2019
- 2019
- [j2]Paulo Cesar Santos, João Paulo C. de Lima, Rafael Fao de Moura, Hameeza Ahmed, Marco A. Z. Alves
A Technologically Agnostic Framework for Cyber-Physical and IoT Processing-in-Memory-based Systems Simulation. Microprocess. Microsystems 69: 101-111 (2019) - [j1]Larissa Rozales Gonçalves, Rafael Fão de Moura, Luigi Carro:
Aggressive Energy Reduction for Video Inference with Software-only Strategies. ACM Trans. Embed. Comput. Syst. 18(5s): 46:1-46:20 (2019) - [c8]João Paulo C. de Lima, Paulo C. Santos, Rafael Fao de Moura, Marco A. Z. Alves
Exploiting Reconfigurable Vector Processing for Energy-Efficient Computation in 3D-Stacked Memories. ARC 2019: 262-276 - [c7]Hameeza Ahmed, Paulo C. Santos, João Paulo C. de Lima, Rafael Fão de Moura, Marco A. Z. Alves
A Compiler for Automatic Selection of Suitable Processing-in-Memory Instructions. DATE 2019: 564-569 - [c6]Rafael Fão de Moura, Paulo C. Santos, João Paulo C. de Lima, Marco A. Z. Alves
Skipping CNN Convolutions Through Efficient Memoization. SAMOS 2019: 65-76 - 2018
- [c5]Rafael Fão de Moura, Michael Guilherme Jordan, Antonio Carlos Schneider Beck, Mateus Beck Rutzig
Exploiting Partial Reconfiguration on a Dynamic Coarse Grained Reconfigurable Architecture. ARC 2018: 355-366 - [c4]Paulo Cesar Santos, João Paulo C. de Lima, Rafael Fão de Moura, Hameeza Ahmed, Marco A. Z. Alves
Exploring IoT platform with technologically agnostic processing-in-memory framework. INTESA@ESWEEK 2018: 1-6 - 2017
- [c3]Josimar Sfreddo, Rafael Fao de Moura, Michael Guilherme Jordan, Jeckson Dellagostin Souza, Antonio Carlos Schneider Beck, Mateus Beck Rutzig
A framework to automatically generate heterogeneous organization reconfigurable multiprocessing. ISCAS 2017: 1-4 - 2016
- [c2]Rafael Fao de Moura, Jeckson Dellagostin Souza, Luigi Carro, Antonio Carlos Schneider Beck, Mateus Beck Rutzig
The Impact of Heterogeneity on a Reconfigurable Multicore System. ISVLSI 2016: 701-706 - 2015
- [c1]Marcia Pasin, Björn Scheuermann, Rafael Fao de Moura:
VANET-based Intersection Control with a Throughput/Fairness Tradeoff. WMNC 2015: 208-215
Coauthor Index
aka: João Paulo Cardoso de Lima
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