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ASIC Implementation of Bit Matrix Multiplier

Authors :
Reddy K. Swetha
Seethai Surabhi
Akanksha
Meenakshi
Reddy V. Sagar
Source :
E3S Web of Conferences, Vol 391, p 01028 (2023)
Publication Year :
2023
Publisher :
EDP Sciences, 2023.

Abstract

In computer science and digital electronics, a bit matrix multiplier (BMM) is a mathematical operation that is used to quickly multiply binary matrices. BMM is a basic component of many computer algorithms and is utilized in fields including machine learning, image processing, and cryptography. BMM creates a new matrix that represents the product of the two input matrices by performing logical AND and XOR operations on each matrix element’s binary value. BMM is a crucial method for large-scale matrix operations since it has a lower computational complexity than conventional matrix multiplication. Reduced computational complexity: When compared to conventional matrix multiplication algorithms, BMM has a lower computational complexity since it performs matrix multiplication using bitwise operations like logical AND and XOR. Faster processing speeds are the result, particularly for complex matrix computations. Less memory is needed to store the binary values of the matrices in BMM because these values can be expressed using Boolean logic. As a result, less memory is needed, and the resources can be used more effectively.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English, French
ISSN :
22671242
Volume :
391
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.3ef517574f904aa391e5b63af795d815
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202339101028