VANET-based Intersection Control with a Throughput/Fairness Tradeoff. - Marcia Pasin; Björn Scheuermann 001; Rafael Fao de Moura (WMNC, 2015)

The Impact of Heterogeneity on a Reconfigurable Multicore System. - Rafael Fao de Moura; Jeckson Dellagostin Souza; Luigi Carro; Antonio Carlos Schneider Beck; Mateus Beck Rutzig (ISVLSI, 2016)

A framework to automatically generate heterogeneous organization reconfigurable multiprocessing. - Josimar Sfreddo; Rafael Fao de Moura; Michael Guilherme Jordan; Jeckson Dellagostin Souza; Antonio Carlos Schneider Beck; Mateus Beck Rutzig (ISCAS, 2017)

Exploiting Partial Reconfiguration on a Dynamic Coarse Grained Reconfigurable Architecture. - Rafael Fão de Moura; Michael Guilherme Jordan; Antonio Carlos Schneider Beck; Mateus Beck Rutzig (ARC, 2018)

Exploring IoT platform with technologically agnostic processing-in-memory framework. - Paulo Cesar Santos 001; João Paulo C. de Lima; Rafael Fão de Moura; Hameeza Ahmed; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (INTESA@ESWEEK, 2018)

Exploiting Reconfigurable Vector Processing for Energy-Efficient Computation in 3D-Stacked Memories. - João Paulo C. de Lima; Paulo C. Santos 001; Rafael Fao de Moura; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (ARC, 2019)

A Compiler for Automatic Selection of Suitable Processing-in-Memory Instructions. - Hameeza Ahmed; Paulo C. Santos 001; João Paulo C. de Lima; Rafael Fão de Moura; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (DATE, 2019)

Skipping CNN Convolutions Through Efficient Memoization. - Rafael Fão de Moura; Paulo C. Santos 001; João Paulo C. de Lima; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (SAMOS, 2019)

A Technologically Agnostic Framework for Cyber-Physical and IoT Processing-in-Memory-based Systems Simulation. - Paulo Cesar Santos 001; João Paulo C. de Lima; Rafael Fao de Moura; Hameeza Ahmed; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (Microprocess. Microsystems, 2019)

Aggressive Energy Reduction for Video Inference with Software-only Strategies. - Larissa Rozales Gonçalves; Rafael Fão de Moura; Luigi Carro (ACM Trans. Embed. Comput. Syst., 2019)

Leveraging reuse and endurance by efficient mapping and placement for NVM-based FPGAs. - João Paulo Cardoso de Lima; Rafael Fão de Moura; Luigi Carro (IOLTS, 2020)

Analog Memristive CAMs for Area- and Energy-Efficient Reconfigurable Computing. - João Paulo Cardoso de Lima; Rafael Fão de Moura; Luigi Carro (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Enabling Near-Data Accelerators Adoption by Through Investigation of Datapath Solutions. - Paulo C. Santos 001; João Paulo Cardoso de Lima; Rafael Fão de Moura; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (Int. J. Parallel Program., 2021)

Exploiting Heterogeneity in PIM Architectures for Data-Intensive Applications. - Rafael Fão de Moura; Luigi Carro (IESS, 2022)

Memristor-only LSTM Acceleration with Non-linear Activation Functions. - Rafael Fão de Moura; João Paulo C. de Lima; Luigi Carro (IESS, 2022)

Scalable and Energy-Efficient NN Acceleration with GPU-ReRAM Architecture. - Rafael Fão de Moura; Luigi Carro (ARC, 2023)

Closing the Capacity Gap: A Transforming Technique for ReRAM-Friendly NNs. - Rafael Fão de Moura; Luigi Carro (SAMOS, 2023)

Data and Computation Reuse in CNNs Using Memristor TCAMs. - Rafael Fão de Moura; João Paulo Cardoso de Lima; Luigi Carro (ACM Trans. Reconfigurable Technol. Syst., 2023)

GLoRia: An Energy-Efficient GPU-RRAM System Stack for Large Neural Networks. - Rafael Fão de Moura; Michael G. Jordan; Luigi Carro (SAMOS, 2024)

Reprogrammable Non-Linear Circuits Using ReRAM for NN Accelerators. - Rafael Fão de Moura; Luigi Carro (ACM Trans. Reconfigurable Technol. Syst., 2024)