Exploring network-on-chip architectures: performance optimization and experimental analysis

The rapid evolution of technology has given rise to a variety of new applications that require enhanced computational capabilities. Multi-core processors are therefore necessary in meeting these demands, yet optimizing their interconnectivity remains a challenge. The existing Network-On-Chip (NoC...

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Main Author: Wong, Adelina Ting Wen
Other Authors: Weichen Liu
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175438
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1754382024-04-26T15:45:09Z Exploring network-on-chip architectures: performance optimization and experimental analysis Wong, Adelina Ting Wen Weichen Liu School of Computer Science and Engineering liu@ntu.edu.sg Computer and Information Science The rapid evolution of technology has given rise to a variety of new applications that require enhanced computational capabilities. Multi-core processors are therefore necessary in meeting these demands, yet optimizing their interconnectivity remains a challenge. The existing Network-On-Chip (NoC) architectures may face limitations in efficiently supporting these applications. This becomes particularly significant given more on-chip cores and the integration of cache coherence protocols (CCPs). These factors can lead to increased latency and energy overhead in network communication, necessitating the development of a novel NoC architecture. Hence, the project aims to address this critical issue by designing an innovative NoC architecture, specifically focusing on accommodating the growing number of cores in modern processors. However, before doing so, it is imperative to conduct a comprehensive study on the present NoC landscape. This analysis will provide valuable information on the current challenges faced and identify areas for improvement. By leveraging this understanding, we hope to improve the performance, scalability, and power efficiency of multi-core processors through the proposed NoC architecture. This ensures that the processors can effectively adapt to the diverse and constantly changing needs of emerging applications. Bachelor's degree 2024-04-24T04:11:00Z 2024-04-24T04:11:00Z 2024 Final Year Project (FYP) Wong, A. T. W. (2024). Exploring network-on-chip architectures: performance optimization and experimental analysis. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175438 https://hdl.handle.net/10356/175438 en SCSE23-0083 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
spellingShingle Computer and Information Science
Wong, Adelina Ting Wen
Exploring network-on-chip architectures: performance optimization and experimental analysis
description The rapid evolution of technology has given rise to a variety of new applications that require enhanced computational capabilities. Multi-core processors are therefore necessary in meeting these demands, yet optimizing their interconnectivity remains a challenge. The existing Network-On-Chip (NoC) architectures may face limitations in efficiently supporting these applications. This becomes particularly significant given more on-chip cores and the integration of cache coherence protocols (CCPs). These factors can lead to increased latency and energy overhead in network communication, necessitating the development of a novel NoC architecture. Hence, the project aims to address this critical issue by designing an innovative NoC architecture, specifically focusing on accommodating the growing number of cores in modern processors. However, before doing so, it is imperative to conduct a comprehensive study on the present NoC landscape. This analysis will provide valuable information on the current challenges faced and identify areas for improvement. By leveraging this understanding, we hope to improve the performance, scalability, and power efficiency of multi-core processors through the proposed NoC architecture. This ensures that the processors can effectively adapt to the diverse and constantly changing needs of emerging applications.
author2 Weichen Liu
author_facet Weichen Liu
Wong, Adelina Ting Wen
format Final Year Project
author Wong, Adelina Ting Wen
author_sort Wong, Adelina Ting Wen
title Exploring network-on-chip architectures: performance optimization and experimental analysis
title_short Exploring network-on-chip architectures: performance optimization and experimental analysis
title_full Exploring network-on-chip architectures: performance optimization and experimental analysis
title_fullStr Exploring network-on-chip architectures: performance optimization and experimental analysis
title_full_unstemmed Exploring network-on-chip architectures: performance optimization and experimental analysis
title_sort exploring network-on-chip architectures: performance optimization and experimental analysis
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175438
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