Deep Neural Networks (DNNs) are very popular because of their high performance in various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have …
Often as the most important arithmetic modules in a processor, adders, multipliers, and dividers determine the performance and energy efficiency of many computing tasks. The …
M Ha, S Lee - IEEE Embedded Systems Letters, 2017 - ieeexplore.ieee.org
Approximate multiplication is a common operation used in approximate computing methods for high performance and low power computing. Power-efficient circuits for approximate …
Approximate computing has been considered to improve the accuracy-performance tradeoff in error-tolerant applications. For many of these applications, multiplication is a key …
We present a survey of approximate techniques and discuss concepts for building power- /energy-efficient computing components reaching from approximate accelerators to …
In this paper, we propose an approximate multiplier that is high speed yet energy efficient. The approach is to round the operands to the nearest exponent of two. This way the …
W Liu, J Xu, D Wang, C Wang… - … on Circuits and …, 2018 - ieeexplore.ieee.org
In this paper, the designs of both non-iterative and iterative approximate logarithmic multipliers (ALMs) are studied to further reduce power consumption and improve …
S Rehman, W El-Harouni, M Shafique… - 2016 IEEE/ACM …, 2016 - ieeexplore.ieee.org
This paper presents an architectural-space exploration methodology for designing approximate multipliers. Unlike state-of-the-art, our methodology generates various design …
Multiplication is one of the widely used arithmetic operations in a variety of applications, such as image/video processing and machine learning. FPGA vendors provide high …