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Oscar Ferraz
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2020 – today
- 2024
- [c9]Oscar Ferraz, Gabriel Falcao, Vítor Silva:
In-Memory Bit Flipping LDPC Decoding. EUSIPCO 2024: 706-710 - [c8]Pedro Carrinho, Oscar Ferraz, João Dinis Ferreira, Yann Falevoz, Vítor Silva, Gabriel Falcao:
Processing Multi-Layer Perceptrons In-Memory. SiPS 2024: 7-12 - 2023
- [j4]Srinivasan Subramaniyan
, Oscar Ferraz
Enabling High-Level Design Strategies for High-Throughput and Low-Power NB-LDPC Decoders. IEEE Des. Test 40(1): 85-95 (2023) - [c7]Oscar Ferraz, Yann Falevoz, Vítor Silva, Gabriel Falcao:
Unlocking the Potential of LDPC Decoders with PiM Acceleration. ACSSC 2023: 1579-1583 - [c6]Oscar Ferraz, Helder Araújo
Benchmarking Convolutional Neural Network Inference on Low-Power Edge Devices. ICASSP 2023: 1-5 - 2022
- [j3]Oscar Ferraz
A Survey on High-Throughput Non-Binary LDPC Decoders: ASIC, FPGA, and GPU Architectures. IEEE Commun. Surv. Tutorials 24(1): 524-556 (2022) - 2021
- [j2]Oscar Ferraz
Gbit/s Throughput Under 6.3-W Lossless Hyperspectral Image Compression on Parallel Embedded Devices. IEEE Embed. Syst. Lett. 13(1): 13-16 (2021) - [j1]Oscar Ferraz
Hyperspectral Parallel Image Compression on Edge GPUs. Remote. Sens. 13(6): 1077 (2021) - [c5]Oscar Ferraz, Vítor Silva, Gabriel Falcão:
On the Performance of Link Space Communications using NB-LDPC Codes on Embedded Parallel Systems. ACSCC 2021: 1164-1168 - [c4]Oscar Ferraz, Paulo Menezes, Vítor Silva, Gabriel Falcão:
Benchmarking Vulkan vs OpenGL Rendering on Low-Power Edge GPUs. ICGI 2021: 1-8 - 2020
- [c3]Oscar Ferraz
Gbit/s Non-Binary LDPC Decoders: High-Throughput using High-Level Specifications. FCCM 2020: 226 - [c2]Oscar Ferraz
1.5GBIT/S 4.9W Hyperspectral Image Encoders on a Low-Power Parallel Heterogeneous Processing Platform. ICASSP 2020: 1693-1697 - [c1]Srinivasan Subramaniyan, Oscar Ferraz
Pushing the Limits of Energy Efficiency for Non-Binary LDPC Decoders on GPUs and FPGAs. SiPS 2020: 1-6
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