Towards a Dataflow Runtime Environment for Edge, Fog and In-Situ Computing. - Caio B. G. Carvalho; Victor da Cruz Ferreira; Felipe M. G. França; Cristiana Bentes; Tiago A. O. Alves; Alexandre da Costa Sena; Leandro A. J. Marzulo (SBAC-PAD (Workshops), 2017)

A Smart Disk for In-Situ Face Recognition. - Victor da Cruz Ferreira; Alexandre Solon Nery; Felipe Maia Galvão França (IPDPS Workshops, 2018)

Hardware-Accelerated Similarity Search with Multi-Index Hashing. - Leandro Santiago de Araújo; Victor da Cruz Ferreira; Brunno Figueiroa Goldstein; Alexandre Solon Nery; Leandro Augusto Justen Marzulo; Sandip Kundu; Felipe Maia Galvão França (DASC/PiCom/DataCom/CyberSciTech, 2019)

Teaching High Performance Computing through Parallel Programming Marathons. - Leandro A. J. Marzulo; Calebe P. Bianchini; Leandro Santiago 001; Victor da Cruz Ferreira; Brunno F. Goldstein; Felipe M. G. França (IPDPS Workshops, 2019)

A Feasible FPGA Weightless Neural Accelerator. - Victor da Cruz Ferreira; Alexandre Solon Nery; Leandro A. J. Marzulo; Leandro Santiago 001; Diego Fonseca Pereira de Souza; Brunno F. Goldstein; Felipe M. G. França; Vladimir Castro Alves (ISCAS, 2019)

A dataflow runtime environment and static scheduler for edge, fog and in-situ computing. - Caio B. G. Carvalho; Victor da Cruz Ferreira; Felipe M. G. França; Cristiana B. Bentes; Gabriele Mencagli; Tiago A. O. Alves; Alexandre da Costa Sena; Leandro A. J. Marzulo (Int. J. Grid Util. Comput., 2019)

Fast Deep Neural Networks Convergence using a Weightless Neural Model. - Alan T. L. Bacellar; Brunno F. Goldstein; Victor da Cruz Ferreira; Leandro Santiago 001; Priscila M. V. Lima; Felipe M. G. França (ESANN, 2020)

Reliability Evaluation of Compressed Deep Learning Models. - Brunno F. Goldstein; Sudarshan Srinivasan; Dipankar Das 002; Kunal Banerjee 001; Leandro Santiago de Araújo; Victor da Cruz Ferreira; Alexandre Solon Nery; Sandip Kundu; Felipe M. G. França (LASCAS, 2020)

Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications. - Jae Young Do; Victor da Cruz Ferreira; Hossein Bobarshad; Mahdi Torabzadehkashi; Siavash Rezaei; Ali Heydarigorji; Diego Fonseca Pereira de Souza; Brunno F. Goldstein; Leandro Santiago 001; Min Soo Kim 009; Priscila M. V. Lima; Felipe M. G. França; et al. (ACM Trans. Storage, 2020)

A Lightweight Error-Resiliency Mechanism for Deep Neural Networks. - Brunno F. Goldstein; Victor da Cruz Ferreira; Sudarshan Srinivasan; Dipankar Das 002; Alexandre Solon Nery; Sandip Kundu; Felipe M. G. França (ISQED, 2021)

Preventing DNN Model IP Theft via Hardware Obfuscation. - Brunno F. Goldstein; Vinay C. Patil; Victor da Cruz Ferreira; Alexandre Solon Nery; Felipe M. G. França; Sandip Kundu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Analysis of Fake News Classification for Insight into the Roles of Different Data Types. - Victor da Cruz Ferreira; Sandip Kundu; Felipe M. G. França (ICSC, 2022)

Reinforcement Learning based Multi-Attribute Slice Admission Control for Next-Generation Networks in a Dynamic Pricing Environment. - Victor da Cruz Ferreira; Haitham H. Esmat; Beatriz Lorenzo; Sandip Kundu; Felipe M. G. França (VTC Spring, 2022)

A Novel Fault-Tolerant Architecture for Tiled Matrix Multiplication. - Sandeep Bal; Chandra Sekhar Mummidi; Victor da Cruz Ferreira; Sudarshan Srinivasan; Sandip Kundu (DATE, 2023)

Highly Efficient Self-checking Matrix Multiplication on Tiled AMX Accelerators. - Chandra Sekhar Mummidi; Victor da Cruz Ferreira; Sudarshan Srinivasan; Sandip Kundu (ACM Trans. Archit. Code Optim., 2024)