Oscar Ferraz

Orcid: 0000-0001-5266-9740

According to our database1, Oscar Ferraz authored at least 11 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Enabling High-Level Design Strategies for High-Throughput and Low-Power NB-LDPC Decoders.
IEEE Des. Test, February, 2023

Benchmarking Convolutional Neural Network Inference on Low-Power Edge Devices.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unlocking the Potential of LDPC Decoders with PiM Acceleration.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
A Survey on High-Throughput Non-Binary LDPC Decoders: ASIC, FPGA, and GPU Architectures.
IEEE Commun. Surv. Tutorials, 2022

2021
Hyperspectral Parallel Image Compression on Edge GPUs.
Remote. Sens., 2021

Gbit/s Throughput Under 6.3-W Lossless Hyperspectral Image Compression on Parallel Embedded Devices.
IEEE Embed. Syst. Lett., 2021

Benchmarking Vulkan vs OpenGL Rendering on Low-Power Edge GPUs.
Proceedings of the International Conference on Graphics and Interaction, 2021

On the Performance of Link Space Communications using NB-LDPC Codes on Embedded Parallel Systems.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Pushing the Limits of Energy Efficiency for Non-Binary LDPC Decoders on GPUs and FPGAs.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

1.5GBIT/S 4.9W Hyperspectral Image Encoders on a Low-Power Parallel Heterogeneous Processing Platform.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Gbit/s Non-Binary LDPC Decoders: High-Throughput using High-Level Specifications.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020


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