A Compression Technique for NoC Packets to Enhance Compression Time

Efficient data transmission in Network on Chip systems is critical to meeting the demands of modern computing architectures. Traditional compression methods often rely on computationally intensive operations, which can increase the computational overhead. This paper proposes a novel delta-based compression technique that eliminates the need for such operations by calculating the differences between consecutive chunks of data. By storing only the essential delta values and minimizing metadata, the proposed method significantly reduces computational complexity and improves compression efficiency. Additionally, the approach optimizes the handling of non-compressible data by adopting a streamlined encoding scheme that avoids unnecessary storage of irrelevant metadata. The simplicity of decompression process, which reconstructs original data using basic arithmetic operations, ensures minimal hardware complexity and low latency. Comprehensive evaluation shows that the proposed system achieves higher performance and resource efficiency compared to existing techniques, making it highly suitable for modern Network on Chip systems and other High Performance Computing systems. This work addresses key challenges in data compression for Network on Chip systems, offering a practical and effective solution to enhance data transmission efficiency without compromising accuracy or integrity.

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Publication Details

Published
2025-04-03
DOI
https://doi.org/10.1109/ictest64710.2025.11042516
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A Compression Technique for NoC Packets to Enhance Compression Time

Daleesha M Viswanathan, Rekha K. James, C A Nafsiya
Interconnection Networks and Systems
article

A Compression Technique for NoC Packets to Enhance Compression Time

Daleesha M Viswanathan, Rekha K. James, C A Nafsiya
article en

Abstract

Efficient data transmission in Network on Chip systems is critical to meeting the demands of modern computing architectures. Traditional compression methods often rely on computationally intensive operations, which can increase the computational overhead. This paper proposes a novel delta-based compression technique that eliminates the need for such operations by calculating the differences between consecutive chunks of data. By storing only the essential delta values and minimizing metadata, the proposed method significantly reduces computational complexity and improves compression efficiency. Additionally, the approach optimizes the handling of non-compressible data by adopting a streamlined encoding scheme that avoids unnecessary storage of irrelevant metadata. The simplicity of decompression process, which reconstructs original data using basic arithmetic operations, ensures minimal hardware complexity and low latency. Comprehensive evaluation shows that the proposed system achieves higher performance and resource efficiency compared to existing techniques, making it highly suitable for modern Network on Chip systems and other High Performance Computing systems. This work addresses key challenges in data compression for Network on Chip systems, offering a practical and effective solution to enhance data transmission efficiency without compromising accuracy or integrity.

Cochin University of Science and Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 84%
Interconnection Networks and Systems
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