Simulation and Exploration for Multi-Chiplet Systems using Open-Source Tools and Heuristic Algorithm

While chiplet-based architectures offer transformative potential for sustaining Moore’s Law through heterogeneous integration, existing simulation methodologies face critical limitations in modeling memory hierarchies and optimizing system-level metric tradeoffs. Current open-source toolchains lack sufficient memory subsystem fidelity, and design space exploration remains computationally intractable for complex chiplet arrangements. In this work, we propose a framework for the simulation and exploration of multi-chiplet systems based on open-source tools. First, we extend the open-source LegoSim simulator by integrating DRAMSim3, enabling efficient simulation of memory chiplets with improved accuracy in timing, bandwidth, and power consumption. Additionally, we propose a heuristic algorithm-based method to optimize simulator configurations, balancing IPC and power consumption. Experimental results show significant IPC improvements while maintaining low power, providing a robust solution for Chiplet design space exploration.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/iseda65950.2025.11100830
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Simulation and Exploration for Multi-Chiplet Systems using Open-Source Tools and Heuristic Algorithm

Zhiyuan Cao, Jianwang Zhai, Fangli Liu, Kang Zhao et al.
Parallel Computing and Optimization Techniques
article

Simulation and Exploration for Multi-Chiplet Systems using Open-Source Tools and Heuristic Algorithm

Zhiyuan Cao, Jianwang Zhai, Fangli Liu, Kang Zhao, Luming Wang, Z. C. Ling, Yixin Xuan
article en

Abstract

While chiplet-based architectures offer transformative potential for sustaining Moore’s Law through heterogeneous integration, existing simulation methodologies face critical limitations in modeling memory hierarchies and optimizing system-level metric tradeoffs. Current open-source toolchains lack sufficient memory subsystem fidelity, and design space exploration remains computationally intractable for complex chiplet arrangements. In this work, we propose a framework for the simulation and exploration of multi-chiplet systems based on open-source tools. First, we extend the open-source LegoSim simulator by integrating DRAMSim3, enabling efficient simulation of memory chiplets with improved accuracy in timing, bandwidth, and power consumption. Additionally, we propose a heuristic algorithm-based method to optimize simulator configurations, balancing IPC and power consumption. Experimental results show significant IPC improvements while maintaining low power, providing a robust solution for Chiplet design space exploration.

Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 79%
Parallel Computing and Optimization Techniques
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Simulation and Exploration for Multi-Chiplet Systems using Open-Source Tools and Heuristic Algorithm — Zhiyuan Cao, Jianwang Zhai, et al. · (2025) | TGRS Research Map | TGRS