Approximate computing is emerging as a new paradigm to improve digital circuit performance by relaxing the requirement of performing exact calculations. Approximate adders rely on the idea that for uniformly distributed inputs, long carry-propagation chains are rarely activated. Unfortunately, however, the above assumption on input signal statistics is not always verified; in this paper we focus on the case when the inputs have a Gaussian distribution. We show that for Gaussian inputs the error probability of previously proposed approximate adders approaches 25% for low sigma values, which is much larger than the uniform case. On the basis of this analysis, we propose an approximate adder with a correction circuit that drastically reduces t...
Abstract—Power dissipation has become a significant concern for integrated circuit design in nanomet...
In this paper, we propose a methodology for designing low error efficient approximate adders for FPG...
textRecent interest in approximate computation is driven by its potential to achieve large energy sa...
Approximate computing is emerging as a new paradigm to improve digital circuit performance by relaxi...
Approximate Computing has recently emerged as a promising solution to enhance circuits performance b...
Abstract—Approximate adders have been considered as a po-tential alternative for error-tolerant appl...
Abstract: A computing device designed to carry out a variety of arithmetic computations. The adder c...
As an important arithmetic module, the adder plays a key role in determining the speed and power con...
This paper proposes a novel approximate adder that exploits an error-reduced carry prediction and co...
Approximation can increase performance or reduce power consumption with a simplified or inaccurate c...
The approximate computing is an alternative computing approach which can lead to high-performance im...
It has been a while since Approximate Computing (AxC) is applied systematically at various abstracti...
Abstract: The probability of errors in the present VLSI technology is very high and it is increasing...
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The approximate and stochastic computing have been developed, on the one hand, to address the dimini...
Abstract—Power dissipation has become a significant concern for integrated circuit design in nanomet...
In this paper, we propose a methodology for designing low error efficient approximate adders for FPG...
textRecent interest in approximate computation is driven by its potential to achieve large energy sa...
Approximate computing is emerging as a new paradigm to improve digital circuit performance by relaxi...
Approximate Computing has recently emerged as a promising solution to enhance circuits performance b...
Abstract—Approximate adders have been considered as a po-tential alternative for error-tolerant appl...
Abstract: A computing device designed to carry out a variety of arithmetic computations. The adder c...
As an important arithmetic module, the adder plays a key role in determining the speed and power con...
This paper proposes a novel approximate adder that exploits an error-reduced carry prediction and co...
Approximation can increase performance or reduce power consumption with a simplified or inaccurate c...
The approximate computing is an alternative computing approach which can lead to high-performance im...
It has been a while since Approximate Computing (AxC) is applied systematically at various abstracti...
Abstract: The probability of errors in the present VLSI technology is very high and it is increasing...
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The approximate and stochastic computing have been developed, on the one hand, to address the dimini...
Abstract—Power dissipation has become a significant concern for integrated circuit design in nanomet...
In this paper, we propose a methodology for designing low error efficient approximate adders for FPG...
textRecent interest in approximate computation is driven by its potential to achieve large energy sa...