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03/08/2023
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems
Generation and exploration of approximate circuits and accelerators has ...
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08/16/2021
Evolutionary Algorithms in Approximate Computing: A Survey
In recent years, many design automation methods have been developed to r...
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01/28/2021
Evolutionary Neural Architecture Search Supporting Approximate Multipliers
There is a growing interest in automated neural architecture search (NAS...
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04/22/2020
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems
There has been abundant research on the development of Approximate Circu...
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04/22/2020
Using Libraries of Approximate Circuits in Design of Hardware Accelerators of Deep Neural Networks
Approximate circuits have been developed to provide good tradeoffs betwe...
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03/05/2020
Adaptive Verifiability-Driven Strategy for Evolutionary Approximation of Arithmetic Circuits
We present a novel approach for designing complex approximate arithmetic...
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02/21/2020
TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU
Energy efficiency of hardware accelerators of deep neural networks (DNN)...
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10/15/2019
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
Automated design methods for convolutional neural networks (CNNs) have r...
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06/11/2019
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining
The state-of-the-art approaches employ approximate computing to improve ...
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03/11/2019
Automated Circuit Approximation Method Driven by Data Distribution
We propose an application-tailored data-driven fully automated method fo...
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02/22/2019
