Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance
To mitigate potential scalability challenges in future many-core architectures’ on-chip communication systems, the wireless Network-on-Chip (WiNoC) design concept has arisen as a compelling choice. It offers a viable approach to address these issues effectively. This paper delves into an extensive...
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Online Access: | http://ir.unimas.my/id/eprint/46766/1/Evaluating_NoC_and_WiNoC_Architectures_for_Multicore_Architecture_Performance.pdf http://ir.unimas.my/id/eprint/46766/ https://ieeexplore.ieee.org/document/10474757 |
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my.unimas.ir-467662024-12-02T02:46:02Z http://ir.unimas.my/id/eprint/46766/ Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance Asrani, Lit Nazreen, Junaidi Shamsiah, Suhaili Shirley, Rufus Nor Asrina, Ramlee Fariza, Mahyan Q Science (General) T Technology (General) TK Electrical engineering. Electronics Nuclear engineering To mitigate potential scalability challenges in future many-core architectures’ on-chip communication systems, the wireless Network-on-Chip (WiNoC) design concept has arisen as a compelling choice. It offers a viable approach to address these issues effectively. This paper delves into an extensive analysis of the performance evaluation concerning Network-on-Chip (NoC) and Wireless Network-on-Chip (WiNoC) configurations within the framework of a 64-core multicore system. The study encompasses a thorough evaluation across four synthetic traffic profiles, namely random, shuffle, butterfly, and transpose traffic distributions, offering a comprehensive understanding of their impact on system performance.This evaluation involved a thorough analysis of data transmission latency, the efficiency of network data throughput, and the amount of energy con-sumed. In order to substantiate our conclusions, we conducted simulations encompassing the 64-core mesh-based NoC and WiNoC architectures. These simulations were executed utilizing the Noxim simulator, a well-recognized tool acclaimed for its capacity to provide cycle-accurate simulations. Analyzing the simulation outcomes, it becomes evident that the 64-core WiNoC architecture performs better in terms of network performance. This is evident from its ability to handle heavier workloads and achieve lower delays in all traffic situations, when compared to the 64-core NoC architecture. IEEE 2024-01-01 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/46766/1/Evaluating_NoC_and_WiNoC_Architectures_for_Multicore_Architecture_Performance.pdf Asrani, Lit and Nazreen, Junaidi and Shamsiah, Suhaili and Shirley, Rufus and Nor Asrina, Ramlee and Fariza, Mahyan (2024) Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance. In: 2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), 17-19 January 2024, Miri Sarawak, Malaysia. https://ieeexplore.ieee.org/document/10474757 |
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Q Science (General) T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Asrani, Lit Nazreen, Junaidi Shamsiah, Suhaili Shirley, Rufus Nor Asrina, Ramlee Fariza, Mahyan Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance |
description |
To mitigate potential scalability challenges in future
many-core architectures’ on-chip communication systems, the
wireless Network-on-Chip (WiNoC) design concept has arisen as a compelling choice. It offers a viable approach to address these issues effectively. This paper delves into an extensive analysis of the performance evaluation concerning Network-on-Chip (NoC) and Wireless Network-on-Chip (WiNoC) configurations within the framework of a 64-core multicore system. The study encompasses a thorough evaluation across four synthetic traffic profiles, namely random, shuffle, butterfly, and transpose traffic distributions, offering a comprehensive understanding of their impact on system performance.This evaluation involved a thorough analysis of data transmission latency, the efficiency of network data throughput, and the amount of energy con-sumed. In order to substantiate our conclusions, we conducted simulations encompassing the 64-core mesh-based NoC and WiNoC architectures. These simulations were executed utilizing
the Noxim simulator, a well-recognized tool acclaimed for its capacity to provide cycle-accurate simulations. Analyzing the simulation outcomes, it becomes evident that the 64-core WiNoC architecture performs better in terms of network performance. This is evident from its ability to handle heavier workloads and achieve lower delays in all traffic situations, when compared to the 64-core NoC architecture. |
format |
Proceeding |
author |
Asrani, Lit Nazreen, Junaidi Shamsiah, Suhaili Shirley, Rufus Nor Asrina, Ramlee Fariza, Mahyan |
author_facet |
Asrani, Lit Nazreen, Junaidi Shamsiah, Suhaili Shirley, Rufus Nor Asrina, Ramlee Fariza, Mahyan |
author_sort |
Asrani, Lit |
title |
Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance |
title_short |
Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance |
title_full |
Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance |
title_fullStr |
Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance |
title_full_unstemmed |
Evaluating NoC and WiNoC Architectures for Multicore Architecture Performance |
title_sort |
evaluating noc and winoc architectures for multicore architecture performance |
publisher |
IEEE |
publishDate |
2024 |
url |
http://ir.unimas.my/id/eprint/46766/1/Evaluating_NoC_and_WiNoC_Architectures_for_Multicore_Architecture_Performance.pdf http://ir.unimas.my/id/eprint/46766/ https://ieeexplore.ieee.org/document/10474757 |
_version_ |
1817848778331258880 |
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13.223943 |