Brunno Abreu

Orcid: 0000-0002-0467-0461

According to our database1, Brunno Abreu authored at least 24 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
MAxPy: A Framework for Bridging Approximate Computing Circuits to Its Applications.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2024

A Design Framework for Neural Network Architecture Exploration.
Proceedings of the 15th IEEE Latin America Symposium on Circuits and Systems, 2024

2023
Compact CMOS-Compatible Majority Gate Using Body Biasing in FDSOI Technology.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

2022
Energy-Quality Scalable Design Space Exploration of Approximate FFT Hardware Architectures.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

A Framework for Crossing Temperature-Induced Timing Errors Underlying Hardware Accelerators to the Algorithm and Application Layers.
IEEE Trans. Computers, 2022

A framework for designing power-efficient inference accelerators in tree-based learning applications.
Eng. Appl. Artif. Intell., 2022

The 4-2 Fused Adder-Subtractor Compressor for Low-Power Butterfly-Based Hardware Architectures.
Circuits Syst. Signal Process., 2022

Improved Approximate Multipliers for Single-Precision Floating-Point Hardware Design.
Proceedings of the 13th IEEE Latin America Symposium on Circuits and System, 2022

On the Netlist Gate-level Pruning for Tree-based Machine Learning Accelerators.
Proceedings of the 13th IEEE Latin America Symposium on Circuits and System, 2022

Mitigating Asynchronous QDI Drawbacks on MAC Operators with Approximate Multipliers.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Fast Logic Optimization Using Decision Trees.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Quality and Complexity Assessment of Learning-Based Image Compression Solutions.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021


2020
Exploring high-order adder compressors for power reduction in sum of absolute differences architectures for real-time UHD video encoding.
J. Real Time Image Process., 2020

VLSI Design of Tree-Based Inference for Low-Power Learning Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
Exploring Motion Vector Cost with Partial Distortion Elimination in Sum of Absolute Differences for HEVC Integer Motion Estimation.
Proceedings of the 17th IEEE International New Circuits and Systems Conference, 2019

HEVC Interpolation Filter Architecture Using Hybrid Encoding Arithmetic Operators.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

2018
Exploiting Partial Distortion Elimination in the Sum of Absolute Differences for Energy-Efficient HEVC Integer Motion Estimation.
Proceedings of the 31st Symposium on Integrated Circuits and Systems Design, 2018

Low-Power HEVC 8-point 2-D Discrete Cosine Transform Hardware Using Adder Compressors.
Proceedings of the 16th IEEE International New Circuits and Systems Conference, 2018

2017
Power-Efficient Sum of Absolute Differences Hardware Architecture Using Adder Compressors for Integer Motion Estimation Design.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Using adder and subtractor compressors to sum of absolute transformed differences architecture for low-power video encoding.
Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

Physical implementation of an ASIC-oriented SRAM-based viterbi decoder.
Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

Exploiting absolute arithmetic for power-efficient sum of absolute differences.
Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017


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