Several applications such as signal processing, multimedia and big data analysis exhibit
computational error tolerance. This tolerance can be exploited to achieve efficient designs …

The approximate design has emerged as a revolutionary design paradigm to obtain energy
efficient digital signal processing cores while exhibiting acceptable accuracy. In different …

In this research paper, approximate multipliers are designed to reduce the computational
time and power delay product. However, there is a high possibility to further optimize the …

Arithmetic operations play a substantial role in many applications, such as image
processing. In image processing applications, a multiplier is a predominantly used arithmetic …

Intrinsic resiliency of many today's applications opens new design opportunities. Some
computation accuracy loss within the so-called resilient kernels does not affect the global …

Approximate Integrated Circuits (AxICs) have emerged in the last decade as an outcome of
Approximate Computing (AxC) paradigm. AxC focuses on efficiency of computing systems …

The maximizing yield concept ensures a semi-conductor manufacturing structure towards
recognizing, diminishing, and avoiding yield-related defects and contamination. According …

High computational complexity of multimedia applications on the portable devices demands
a high speed and energy efficient processing cores. The performance of arithmetic unit …

As the complexity of logic devices increased, it required more time and effort to manually
design and verify tests, it was difficult to estimate test coverage, and the tests ran too slowly …

Digital multiplication generally produces large complicated results due to its large inputs. As
the applications of digital multipliers are inherently error tolerable, approximate multipliers …