Leandro Santiago de Araújo

Orcid: 0000-0002-3631-8761

Affiliations:
  • Federal University of Rio de Janeiro, Brazil


According to our database1, Leandro Santiago de Araújo authored at least 27 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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Bibliography

2023
ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks.
ACM Trans. Archit. Code Optim., December, 2023

A conditional branch predictor based on weightless neural networks.
Neurocomputing, October, 2023

GSink - A Runtime for Gamma Programs and its CGRA Mapping Proposal.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
A WiSARD-based conditional branch predictor.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022


Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks.
Proceedings of the 33rd IEEE International Conference on Application-specific Systems, 2022

Weightless Neural Networks for Efficient Edge Inference.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
Gamma - General Abstract Model for Multiset mAnipulation and dynamic dataflow model: An equivalence study.
Concurr. Comput. Pract. Exp., 2021

2020
Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications.
ACM Trans. Storage, 2020

Weightless Neural Networks as Memory Segmented Bloom Filters.
Neurocomputing, 2020

Reliability Evaluation of Compressed Deep Learning Models.
Proceedings of the 11th IEEE Latin American Symposium on Circuits & Systems, 2020

Fast Deep Neural Networks Convergence using a Weightless Neural Model.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Fluid computing: interest-based communication in dataflow/multiset rewriting computing.
Proceedings of the EATIS 2020: 10th Euro American Conference on Telematics and Information Systems, 2020

Building a portable deeply-nested implicit information flow tracking.
Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

2019
Design of Robust, High-Entropy Strong PUFs via Weightless Neural Network.
J. Hardw. Syst. Secur., 2019

A Feasible FPGA Weightless Neural Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Exploring the Equivalence between Dynamic Dataflow Model and Gamma - General Abstract Model for Multiset mAnipulation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Teaching High Performance Computing through Parallel Programming Marathons.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Memory Efficient Weightless Neural Network using Bloom Filter.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Hardware-Accelerated Similarity Search with Multi-Index Hashing.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Efficient Testing of Physically Unclonable Functions for Uniqueness.
Proceedings of the 28th IEEE Asian Test Symposium, 2019

2017
Optimising loops in dynamic dataflow.
IET Circuits Devices Syst., 2017

Realizing strong PUF from weak PUF via neural computing.
Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2017

2016
Task Scheduling in Sucuri Dataflow Library.
Proceedings of the 2016 International Symposium on Computer Architecture and High Performance Computing Workshops, 2016

2014
Stack-Tagged Dataflow.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing Workshop, 2014

Dataflow Virtual Machine Profiling.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing Workshop, 2014


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