Óscar Almeida Ferraz

Óscar Ferraz

Academic position:	PhD Student
Joining date:	01-09-2018
Roles in IT:	PhD Student
Thematic Line:	Information and Data Sciences
Group:	Multimedia Signal Processing – Co

Email: Send Email
Address: IT – Coimbra
Department of Electrical and Computer Engineering
University of Coimbra - Pole II
P-3030-290 COIMBRA
Tel: +351 239 796 236
Fax: +351 239 796 293

https://www.orcid.org/0000-0001-5266-9740

Scientific Achievements

Degrees

MSc, Universidade de Coimbra, 01-09-2019
Licenciatura, Universidade de Coimbra, 01-09-2017

Expertise Topics

GPUs
High-performance computing
Non-binary LDPC codes

Thesis Information

Towards Processing Near-Memory in Non-Binary Low-Density Parity Check Decoders, Universidade de Coimbra, PhD Student, Óscar Almeida Ferraz, Supervisor: G. Falcão, Co-supervisor: V. Silva, jan-2021 - dez-2025

Publications

4Papers in Journals

S. Subramaniyan, Ó. Ferraz, M. Ashuthosh, S. Krishna, G. W. Wang, J. R. C. Cavallaro, V. Silva, G. Falcão, M. P. Purnaprajna, Enabling High-Level Design Strategies for High-Throughput and Low-power NB-LDPC Decoders, IEEE Design and Test, Vol. 40, No. 1, pp. 85 - 95, August, 2022 | Full text (PDF 1 MB) | BibTex
Ó. Ferraz, S. Subramaniyan, R. Chinthalaa,, J. Andrade, J. R. C. Cavallaro, S. Nandy, V. Silva, X. Zhang, M. P. Purnaprajna, G. Falcão, A Survey on High-Throughput Non-Binary LDPC Decoders: ASIC, FPGA and GPU Architectures, IEEE Communications Surveys and Tutorials, Vol. 1, No. 1, pp. 1 - 33, November, 2021 | Full text (PDF 8 MBs) | BibTex
Ó. Ferraz, V. Silva, G. Falcão, Hyperspectral Parallel Image Compression on Edge GPUs, Remote Sensing, Vol. 13, No. 6, pp. 1077 - 1077, March, 2021 | BibTex
Ó. Ferraz, G. Falcão, V. Silva, Gbit/s throughput under 6.3W lossless hyperspectral image compression on parallel embedded devices, IEEE Embedded Systems Letters, Vol. 1, No. 1, pp. 1 - 1, April, 2020 | BibTex

8Papers in Conferences

Ó. Ferraz, G. Falcão, V. Silva, In-Memory Bit Flipping LDPC Decoding, European Signal Processing Conference EUSIPCO, Lyon, France, Vol., pp. -, August, 2024,
| Abstract | BibTex
Ó. Ferraz, Y. Falevoz, V. Silva, G. Falcão, Unlocking the Potential of LDPC Decoders with PiM Acceleration, Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, United States, October, 2023 | BibTex
Ó. Ferraz, H. Araujo, V. Silva, G. Falcão, Benchmarking Convolutional Neural Network Inference on Low-Power Edge Devices, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes, Greece, Vol., pp. 1 - 5, June, 2023 | BibTex
Ó. Ferraz, P. Menezes, V. Silva, G. Falcão, Benchmarking Vulkan vs OpenGL Rendering on Low-Power Edge GPUs, International Conference on Graphics and Interaction ICGI, Porto, Portugal, Vol., pp. 1 - 8, November, 2021 | BibTex
Ó. Ferraz, V. Silva, G. Falcão, On the Performance of Link Space Communications using NB-LDPC Codes on Embedded Parallel Systems, Asilomar Conference on Signals, Systems, and Computers, Pacific Groove, Califonia, United States, Vol., pp. 1164 - 1168, November, 2021 | BibTex
S. Subramaniyan, Ó. Ferraz, M. Ashuthosh, S. Krishna, G. W. Wang, J. R. C. Cavallaro, V. Silva, G. Falcão, M. P. Purnaprajna, Pushing the Limits of Energy Efficiency for Non-Binary LDPC Decoders on GPUs and FPGAs, IEEE International Workshop on Signal Processing Systems - SiPS, Coimbra, Portugal, Vol., pp. 1 - 6, October, 2020,
| Abstract | BibTex
Ó. Ferraz, S. Subramaniyan, G. W. Wang, J. R. C. Cavallaro, G. Falcão, M. P. Purnaprajna, Gbit/s Non-Binary LDPC Decoders: High-Throughput using High-Level Specifications, IEEE International Symp. on Field-Programmable Custom Computing Machines - FCCM, Fayetteville, Arkansas, United States, Vol., pp. 226 - 226, May, 2020 | BibTex
Ó. Ferraz, G. Falcão, V. Silva, 1.5GBIT/S 4.9W HYPERSPECTRAL IMAGE ENCODERS ON A LOW-POWER PARALLEL HETEROGENEOUS PROCESSING PLATFORM, IEEE International Conf. on Acoustics, Speech, and Signal Processing - ICASSP, Barcelona, Spain, Vol., pp. 1693 - 1697, May, 2020 | BibTex

Projects

Closed Projects3

Acronym	Name	Funding Agency	Start date	Ending date
Bin-NET	Bin-NET: PiM-Enabled Binary Neural Network Inferencing at the Edge	FCT	01-12-2021	31-05-2023
ECHO	ECHO: error-correcting codes in high-performance communication systems through joint exploration of inference algorithms and parallel architectures	FCT	01-07-2017	31-12-2023
HAnDLE	Hardware Accelerated Deep Learning Framework	FCT	12-07-2018	11-07-2021

IT Member Profile

Óscar Ferraz

Scientific Achievements

Closed Projects3