41
TÍTULO: Exploring Data Size to Run Convolutional Neural Networks in Low Density FPGAs
AUTORES: Gonçalves, A; Peres, T; Véstias, M ;
PUBLICAÇÃO: 2019, FONTE: 15th International Symposium on Applied Reconfigurable Computing, ARC 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11444 LNCS
INDEXADO EM: Scopus CrossRef: 4
42
TÍTULO: Fast convolutional neural networks in low density FPGAs using zero-skipping and weight pruning
AUTORES: Véstias, MP ; Duarte, RP; de Sousa, JT; Neto, HC;
PUBLICAÇÃO: 2019, FONTE: Electronics (Switzerland), VOLUME: 8, NÚMERO: 11
INDEXADO EM: Scopus CrossRef: 13
43
TÍTULO: Fast Convolutional Neural Networks in Low Density FPGAs Using Zero-Skipping and Weight Pruning  Full Text
AUTORES: Vestias, MP ; Duarte, RP; de Sousa, JT; Neto, HC;
PUBLICAÇÃO: 2019, FONTE: ELECTRONICS, VOLUME: 8, NÚMERO: 11
INDEXADO EM: WOS
44
TÍTULO: Faster Convolutional Neural Networks in Low Density FPGAs Using Block Pruning
AUTORES: Peres, T; Gonçalves, A; Véstias, M ;
PUBLICAÇÃO: 2019, FONTE: 15th International Symposium on Applied Reconfigurable Computing, ARC 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11444 LNCS
INDEXADO EM: Scopus CrossRef: 5 Handle
45
TÍTULO: High-Performance Reconfigurable Computing
AUTORES: Mário Pereira Vestias ;
PUBLICAÇÃO: 2019, FONTE: Advances in Computer and Electrical Engineering - Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
INDEXADO EM: CrossRef
46
TÍTULO: Hybrid Dot-Product Calculation for Convolutional Neural Networks in FPGA
AUTORES: Vestias, M ; Duarte, RP; de Sousa, JT; Neto, H;
PUBLICAÇÃO: 2019, FONTE: 29th International Conference on Field-Programmable Logic and Applications (FPL) in 2019 29TH INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL)
INDEXADO EM: Scopus WOS CrossRef: 6
47
TÍTULO: Hyperspectral Compressive Sensing - A Comparison of embedded GPU and ARM implementations
AUTORES: Nascimento, JMP; Vestias, M ;
PUBLICAÇÃO: 2019, FONTE: Conference on Emerging Imaging and Sensing Technologies for Security and Defence IV part of SPIE Security + Defence Symposium in EMERGING IMAGING AND SENSING TECHNOLOGIES FOR SECURITY AND DEFENCE IV, VOLUME: 11163
INDEXADO EM: Scopus WOS CrossRef: 1
48
TÍTULO: Low energy heterogeneous computing with multiple RISC-V and CGRA cores
AUTORES: Fiolhais, L; Gonçalves, F; Duarte, RP; Véstias, M ; De Sousa, JT;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 in Proceedings - IEEE International Symposium on Circuits and Systems, VOLUME: 2019-May
INDEXADO EM: Scopus CrossRef: 5
49
TÍTULO: Low Energy Heterogeneous Computing with Multiple RISC-V and CGRA Cores
AUTORES: Fiolhais, L; Goncalves, F; Duarte, RP; Vestias, M ; Sousa, JT;
PUBLICAÇÃO: 2019, FONTE: IEEE International Symposium on Circuits and Systems (IEEE ISCAS) in 2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
INDEXADO EM: WOS
50
TÍTULO: Viterbi Decoder in Hardware
AUTORES: Mário Pereira Véstias ;
PUBLICAÇÃO: 2019, FONTE: Advances in Computer and Electrical Engineering - Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
INDEXADO EM: CrossRef
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