Approximate computing is a promising approach for reducing power consumption and
design complexity in applications that accuracy is not a crucial factor. Approximate …

Decimal multiplication is the most common operation in arithmetic applications. This paper
presents an area-efficient digit-by-digit decimal multiplier using a modified binary-coded …

Numerical computations in various applications can often tolerate a small degree of error. In
fields such as data mining, encoding algorithms, image processing, machine learning, and …

Financial and commercial applications depend on decimal arithmetic because they must
produce results that match exactly those obtained by human calculations. Decimal …

In this paper, we present two distinct hardware dynamic memory allocation schemes that are
based on the binary buddy system algorithm. Our aim is to mitigate internal fragmentation …

Abstract In the Internet of Things era, with millions of devices performing financial and
commercial operations, decimal arithmetic has become very popular in the computation of …

Financial and commercial data are mostly represented in decimal format. To avoid errors
introduced when converting some decimal fractions to binary, these data are processed with …

Decimal arithmetic has recovered the attention in the field of computer arithmetic due to
decimal precision requirements of application domains like financial, commercial and …

Decimal arithmetic in the form of binary coded decimal (BCD) numbers is preferred in many
financial, commercial and scientific applications. BCD multipliers are introduced as a key …

The objective of this work is to implement a scalable decimal to binary converter from 8 to 64
bits (ie 2-digit to 16-digit) using parallel architecture. The proposed converters, along with …