Leandro Santiago de Araujo

ORCID:

https://orcid.org/0000-0002-3631-8761


Formação:

  • Universidade Federal do Rio de Janeiro

    | Pós-Doutorado | 2019 - 2020

  • Universidade Federal do Rio de Janeiro

    Engenharia de Sistemas e Computação | Doutorado | 2016 - 2019

  • Universidade Federal do Rio de Janeiro

    Engenharia de Sistemas e Computação | Mestrado | 2015 - 2016

  • Universidade do Estado do Rio de Janeiro

    Ciência da Computação | Graduação | 2010 - 2014

  • Fundação de Apoio à Escola Técnica do Estado do Rio de Janeiro

    | Ensino Profissional de nível técnico | 2006 - 2008

  • Fundação de Apoio à Escola Técnica do Estado do Rio de Janeiro

    | Ensino Médio (2o grau) | 2006 - 2008
Laboratórios:
Nuvens de Palavras:
Artigos:

(100.00% artigos com DOI)

Titulo DOI Ano
New parallelism and heuristic approaches for generating tree t-spanners in graphs 10.1002/cpe.8106 2024
Graph admissibility: Case generation and analysis by learning models 10.1016/j.jocs.2024.102281 2024
A conditional branch predictor based on weightless neural networks 10.1016/j.neucom.2023.126637 2023
ULEEN: A Novel Architecture for Ultra Low-Energy Edge Neural Networks 10.1145/3629522 2023
Strategies for generating tree spanners: Algorithms, heuristics and optimal graph classes 10.1016/j.ipl.2022.106265 2022
Gamma - General Abstract Model for Multiset mAnipulation and dynamic dataflow model: An equivalence study 10.1002/cpe.6176 2021
Weightless Neural Networks as Memory Segmented Bloom Filters 10.1016/j.neucom.2020.01.115 2020
Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications 10.1145/3415580 2020
Design of Robust, High-Entropy Strong PUFs via Weightless Neural Network 10.1007/s41635-019-00071-z 2019
Optimising loops in dynamic dataflow 10.1049/iet-cds.2015.0148 2017
Eventos:

(57.69% eventos com DOI)

Titulo DOI Ano
GSink - A Runtime for Gamma Programs and its CGRA Mapping Proposal 10.1109/IPDPSW59300.2023.00076 2023
Heuristics for t-admissibility with complex network approach 2023
Gerando base de grafos não isomorfos com seus índices de extensão 2023
Paralelismo e Heurísticas para o problema da mediana por swap 2023
Weightless Neural Networks for Efficient Edge Inference 10.1145/3559009.3569680 2022
A WiSARD-based conditional branch predictor 2022
Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks 2022
LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks 10.1109/asap54787.2022.00014 2022
Pruning Weightless Neural Networks 2022
Reliability Evaluation of Compressed Deep Learning Models 10.1109/lascas45839.2020.9069026 2020
Building a portable deeply-nested implicit information flow tracking 10.1145/3387902.3392614 2020
Fast Deep Neural Networks Convergence using a Weightless Neural Model 2020
Fluid computing 10.1145/3401895.3401932 2020
Memory Efficient Weightless Neural Network using Bloom Filter 2019
Teaching High Performance Computing through Parallel Programming Marathons 10.1109/IPDPSW.2019.00058 2019
A Feasible FPGA Weightless Neural Accelerator 10.1109/iscas.2019.8702797 2019
Exploring the Equivalence between Dynamic Dataflow Model and Gamma - General Abstract Model for Multiset mAnipulation 10.1109/IPDPSW.2019.00133 2019
Hardware-Accelerated Similarity Search with Multi-Index Hashing 10.1109/dasc/picom/cbdcom/cyberscitech.2019.00138 2019
Efficient Testing of Physically Unclonable Functions for Uniqueness 10.1109/ats47505.2019.00022 2019
Realizing strong PUF from weak PUF via neural computing 10.1109/DFT.2017.8244433 2017
DTM@GPU: Explorando Redundância de Traços em GPU 2016
Task Scheduling in Sucuri Dataflow Library 10.1109/sbac-padw.2016.15 2016
Instrumentação de Máquina Virtual Dataflow 2014
Implementação e Avaliação de Desempenho do LCS Paralelo em Cluster Multicore 2014
Dataflow Virtual Machine Profiling 10.1109/sbac-padw.2014.24 2014
Stack-Tagged Dataflow 10.1109/sbac-padw.2014.21 2014
Publicações:
Minha Rede: