Year: 2024
Type: article
Abstract: Perfect Difference Networks (PDNs) are fundamental in various computational tasks, particularly in areas like signal processing, image processing, and cryptography. Analyzing PDNs efficiently is essential for optimizing their performance. In this paper, we present a Parallel Random-Access Machine (PRAM) algorithm specifically designed for PDN analysis. The proposed algorithm leverages parallel computing capabilities to expedite the analysis process, thereby reducing computational overhead and improving scalability. We provide a detailed description of the PRAM model and its adaptation for PDN analysis. Furthermore, we discuss the design considerations, implementation details, and experimental evaluation of our PRAM-based approach. Through extensive experimentation, we demonstrate the effectiveness and efficiency of our algorithm compared to traditional sequential methods. Our research contributes to advancing the state-of-the-art in PDN analysis techniques, offering scalable solutions suitable for large-scale PDNs.
Institution: Awadhesh Pratap Singh University
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4402491202