Tiago Assumpção de Oliveira Alves
Formação:
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Universidade Federal do Rio de Janeiro
Engenharia de Sistemas e Computação | Doutorado | 2010 - 2014
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Universidade Federal do Rio de Janeiro
Engenharia de Sistemas e Computação | Mestrado | 2008 - 2010
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Universidade Federal do Rio de Janeiro
Ciência da Computação | Graduação | 2003 - 2009
Laboratórios:
Nuvens de Palavras:
Artigos:
(100.00% artigos com DOI)
Titulo | DOI | Ano |
---|---|---|
Gamma - General Abstract Model for Multiset mAnipulation and dynamic dataflow model: An equivalence study | 10.1002/cpe.6176 | 2021 |
Concurrency Analysis in Dynamic Dataflow Graphs | 10.1109/tetc.2018.2799078 | 2021 |
A dataflow runtime environment and static scheduler for edge, fog and in-situ computing | 10.1504/ijguc.2019.10021333 | 2019 |
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 |
Couillard: Parallel programming via coarse-grained Data-flow Compilation | 10.1016/j.parco.2014.10.002 | 2014 |
Trebuchet: exploring TLP with dataflow virtualisation | 10.1504/ijhpsa.2011.040466 | 2011 |
Eventos:
(38.10% eventos com DOI)
Titulo | DOI | Ano |
---|---|---|
A Comparative Study of Fishing Activity Detection Approaches in Maritime Surveillance | 2023 | |
Distributed Checkpointing in Dataflow with Static Scheduling | 2023 | |
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning | 10.1109/AICAS54282.2022.9869910 | 2022 |
Building a portable deeply-nested implicit information flow tracking | 10.1145/3387902.3392614 | 2020 |
Towards Adversarial Attack Resistant Deep Neural Networks | 2020 | |
MLPrivacyGuard | 10.1145/3299874.3319457 | 2019 |
Exploring the Equivalence between Dynamic Dataflow Model and Gamma - General Abstract Model for Multiset mAnipulation | 10.1109/ipdpsw.2019.00133 | 2019 |
Realizing Strong PUF from Weak PUF via Neural Computing | 2017 | |
A Resilient Scheduler for Dataflow Execution | 2017 | |
Task Scheduling in Sucuri Dataflow Library | 10.1109/sbac-padw.2016.15 | 2016 |
Exploiting Parallelism in Linear Algebra Kernels through Dataflow Execution | 10.1109/sbac-padw.2015.21 | 2015 |
Graph Templates for Dataflow Programming | 10.1109/sbac-padw.2015.20 | 2015 |
Implementing a parallel sparse matrix-vector multiplication using dataflow | 10.5540/03.2015.003.01.0108 | 2015 |
Online Error Detection and Recovery for Dataflow Execution | 2014 | |
Domino Effect Protection on Dataflow Error Detection and Recovery | 2014 | |
A Minimalistic Dataflow Programming Library for Python. In: MPP 2014 - Special Edition on Dataflow Programming Models and Machines | 2014 | |
Stack-Tagged Dataflow | 2014 | |
Unleashing Parallelism in Longest Common Subsequence Using Dataflow | 2013 | |
Scheduling cyclic task graphs with SCC-Map | 2012 | |
TALM: A Hybrid Execution Model with Distributed Speculation Support | 2010 | |
Trebuchet: Explorando TLP com Virtualização DataFlow. | 2009 |