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Hotspots Reduction for GALS NoC Using a Low-Latency Multistage Packet Reordering Approach
Zhenmin Li1, Ruimin Shen1, Maoxiang Yi1
1School of Microelectronics, Hefei University of Technology, Hefei 230009, China.
Micromachines
|February 25, 2023
Summary
This study introduces a multistage packet reordering (MPR) approach for Globally Asynchronous Locally Synchronous (GALS) Networks-on-chip (NoC). The novel method reduces transmission latency and mitigates hotspots, improving thermal efficiency and resource usage.
Area of Science:
- Computer Engineering
- VLSI Design
- Network-on-Chip Architectures
Background:
- Globally Asynchronous Locally Synchronous (GALS) Networks-on-chip (NoC) enable multipath routing, increasing bandwidth but causing out-of-order packet delivery.
- Packet reordering is crucial for Quality of Service (QoS) in NoCs, but traditional methods using local reorder buffers create hotspots, leading to chip aging and failures.
Purpose of the Study:
- To address the limitations of traditional packet reordering in GALS NoCs.
- To propose a novel approach that reduces transmission latency and alleviates on-chip hotspots.
- To improve the thermal efficiency and hardware resource utilization of NoC systems.
Main Methods:
- Introduction of a multistage packet reordering (MPR) approach.
- Implementation of a multistage reordering buffer (MRB) by reusing existing channel buffers.
- Evaluation of the proposed MPR approach through experimental analysis.
Main Results:
- The proposed MPR approach effectively reduces transmission latency compared to traditional methods.
- Significant reduction in on-chip hotspots was observed, mitigating chip aging concerns.
- Improved thermal efficiency and reduced hardware resource consumption were achieved.
Conclusions:
- The multistage packet reordering (MPR) approach offers a viable solution for managing out-of-order packets in GALS NoCs.
- Reusing channel buffers for multistage reordering (MRB) is an efficient strategy for enhancing NoC performance and reliability.
- The MPR method presents a promising direction for designing energy-efficient and robust NoC architectures.
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