A Method of Fast Evaluation of an MC Placement for Network-on-Chip

Author(s):  
Hongzhi Zhao ◽  
Fangzheng Zhang ◽  
Linhui Chen ◽  
Minghong Lu

On-chip Memory-Controllers (MCs) placement is a key issue in designing Network-on-Chip (NoC) with multiple MCs. A good MC placement can efficiently decrease NoC memory-access latency. However, it is difficult to search an optimal MC placement within a feasible time period due to huge design space of MC placements and much time spent on evaluating whether an MC placement is better or not. This paper focuses on how to evaluate an MC placement quickly. As a common manner of evaluating an MC placement, network simulation manners often cost too much time. In this paper, we propose a method of fast evaluation of an MC placement. There are two contributions in this paper: the first one is to use an indicator “path-load” to approximately represent memory-access-flow transmission latency; the second one is to propose a highly-efficient method of calculating path-load to evaluate an MC placement to take the place of traditional simulation manner. To verify this method, we embed it into a traversal method to find out optimal MCs placements. Experiments show that almost all MCs placements with the minimum path load value are those placements that are of the best network performance in the same network scenarios. In a word, our proposed method can efficiently evaluate MCs placements rather than simulation manners. It can be embedded into searching algorithm to accelerate achieving optimal solutions.

Micromachines ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1196
Author(s):  
Samuel da Silva Oliveira ◽  
Bruno Motta de Carvalho ◽  
Márcio Eduardo Kreutz

Network-on-Chip is a good approach to working on intra-chip communication. Networks with irregular topologies may be better suited for specific applications because of their architectural nature. A good design space exploration can help the design of the network to obtain more optimized topologies. This paper proposes a way of optimizing networks with irregular topologies through the use of a genetic algorithm. The network proposed here has heterogeneous routers that aim to optimize the network and support applications with real-time tasks. The goal is to find networks that are optimized for average latency and percentage of real-time packets delivered within the deadline. The results show that we have been able to find networks that can deliver all the real-time packets, obtain acceptable latency values, and shrink the chip area.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Riadh Ayachi ◽  
Ayoub Mhaouch ◽  
Abdessalem Ben Abdelali

System-on-chip (SoC) is the main processor for most recent applications such as the Internet of things (IoT). SoCs are composed of multiple blocks that communicate with each other through an integrated router. Data routing from a block to another poses many challenges. The network-on-chip (NoC) was used for the transmission of data from a source to a destination with high reliability, high speed, low power consumption, and low hardware occupation. An NoC is composed of a router, network links (NL), and network interface (NI). The main component of the NoC, the NI, is composed of an input/output FIFO, a finite state machine (FSM), pack, and depack modules. Data transmission from a block to another poses a security problem such as secret information extraction. In this paper, we proposed a data encryption framework for NoC based on a light encryption device (LED) algorithm. The main advantages of the proposed algorithm are to reduce the implementation area and to achieve high speed while reducing the power consumption. The proposed encryption framework was simulated Verilog/VHDL on the Xilinx ISE and implemented on the Xilinx Virtex 5 XC5VFX200T. The obtained results have shown that the proposed framework has a smaller area and higher speed compared to existing works. The proposed algorithm has reduced the NI implementation area and enhanced the network performance in terms of speed and security.


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