CURE: A High-Performance, Low-Power, and Reliable Network-on-Chip Design Using Reinforcement Learning

2020 ◽  
Vol 31 (9) ◽  
pp. 2125-2138
Author(s):  
Ke Wang ◽  
Ahmed Louri
2021 ◽  
Author(s):  
Isiaka A. Alimi ◽  
Romil K. Patel ◽  
Oluyomi Aboderin ◽  
Abdelgader M. Abdalla ◽  
Ramoni A. Gbadamosi ◽  
...  

Integration technology advancement has impacted the System-on-Chip (SoC) in which heterogeneous cores are supported on a single chip. Based on the huge amount of supported heterogeneous cores, efficient communication between the associated processors has to be considered at all levels of the system design to ensure global interconnection. This can be achieved through a design-friendly, flexible, scalable, and high-performance interconnection architecture. It is noteworthy that the interconnections between multiple cores on a chip present a considerable influence on the performance and communication of the chip design regarding the throughput, end-to-end delay, and packets loss ratio. Although hierarchical architectures have addressed the majority of the associated challenges of the traditional interconnection techniques, the main limiting factor is scalability. Network-on-Chip (NoC) has been presented as a scalable and well-structured alternative solution that is capable of addressing communication issues in the on-chip systems. In this context, several NoC topologies have been presented to support various routing techniques and attend to different chip architectural requirements. This book chapter reviews some of the existing NoC topologies and their associated characteristics. Also, application mapping algorithms and some key challenges of NoC are considered.


2020 ◽  
Vol 2 (3) ◽  
pp. 158-168
Author(s):  
Muhammad Raza Naqvi

Mostly communication now days is done through SoC (system on chip) models so, NoC (network on chip) architecture is most appropriate solution for better performance. However, one of major flaws in this architecture is power consumption. To gain high performance through this type of architecture it is necessary to confirm power consumption while designing this. Use of power should be diminished in every region of network chip architecture. Lasting power consumption can be lessened by reaching alterations in network routers and other devices used to form that network. This research mainly focusses on state-of-the-art methods for designing NoC architecture and techniques to reduce power consumption in those architectures like, network architecture, network links between nodes, network design, and routers.


2008 ◽  
Vol 18 (02) ◽  
pp. 239-255 ◽  
Author(s):  
JUN HO BAHN ◽  
SEUNG EUN LEE ◽  
YOON SEOK YANG ◽  
JUNGSOOK YANG ◽  
NADER BAGHERZADEH

As the number of integrated IP cores in the current System-on-Chips (SoCs) keeps increasing, communication requirements among cores can not be sufficiently satisfied using either traditional or multi-layer bus architectures because of their poor scalability and bandwidth limitation on a single bus. While new interconnection techniques have been explored to overcome such a limitation, the notion of utilizing Network-on-Chip (NoC) technologies for the future generation of high performance and low power chips for myriad of applications, in particular for wireless communication and multimedia processing, has been of great importance. In order for the NoC technologies to succeed, realistic specifications such as throughput, latency, moderate design complexity, programming model, and design tools are necessary requirements. For this purpose, we have covered some of the key and challenging design issues specific to the NoC architecture such as the router design, network interface (NI) issues, and complete system-level modeling. In this paper, we propose a multi-processor system platform adopting NoC techniques, called NePA (Network-based Processor Array). As a component of system platform, the fundamental NoC techniques including the router architecture and generic NI are defined and implemented adopting low power and clock efficient techniques. Using a high-level cycle-accurate simulation, various parameters relevant to its performance and its systematic modeling are extracted and analyzed. By combining various developed systematic models, we construct the tool chain to pursue hardware/software design tradeoffs necessary for better understanding of the NoC techniques. Finally utilizing implementation of parallel FFT algorithms on the homogeneous NePA, the feasibility and advantages of using NoC techniques are shown.


2010 ◽  
pp. 113-150 ◽  
Author(s):  
Maurizio Palesi ◽  
Rickard Holsmark ◽  
Shashi Kumar ◽  
Vincenzo Catania

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