SimPhony统一模拟异构电光AI硬件，加速系统级创新与评估。
SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System
- 跨层建模框架，支持电光混合多核架构与光张量核心设计。
- 实现光域多维并行数据流与真实能耗、面积、带宽建模。
- 可与训练框架无缝集成，适合芯片与算法协同研究者使用。
电子-光子集成电路（EPIC）为下一代高性能AI提供变革性潜力，但其跨器件、电路、架构与设计自动化等多领域的协同创新仍面临挑战。混合系统的复杂性使领域专家难以理解各层级间的动态行为与交互机制。缺乏灵活、准确、快速且易用的EPIC AI系统仿真框架，严重制约了硬件创新探索与通用基准上的系统评估。为此，我们提出SimPhony——一个面向异构电子-光子AI系统的跨层建模与仿真框架。SimPhony提供：(1) 通用可扩展的硬件拓扑表示，支持多样化的多核架构与光张量核心设计；(2) 面向光学特性的数据流建模，具备超越空间/时间维度的多维并行与重用能力；(3) 数据感知的能效建模，包含真实器件响应、布局感知面积估算、链路预算分析及带宽自适应内存建模；(4) 与模型训练框架的无缝集成，支持软硬件协同仿真。通过提供统一、通用且高保真的仿真平台，SimPhony赋能研究人员在多个层面创新与评估EPIC AI硬件，推动新兴AI硬件迈向新台阶。代码已开源：https://github.com/ScopeX-ASU/SimPhony
原文摘要 · Abstract (English)
Electronic-photonic integrated circuits (EPICs) offer transformative potential for next-generation high-performance AI but require interdisciplinary advances across devices, circuits, architecture, and design automation. The complexity of hybrid systems makes it challenging even for domain experts to understand distinct behaviors and interactions across design stack. The lack of a flexible, accurate, fast, and easy-to-use EPIC AI system simulation framework significantly limits the exploration of hardware innovations and system evaluations on common benchmarks. To address this gap, we propose SimPhony, a cross-layer modeling and simulation framework for heterogeneous electronic-photonic AI systems. SimPhony offers a platform that enables (1) generic, extensible hardware topology representation that supports heterogeneous multi-core architectures with diverse photonic tensor core designs; (2) optics-specific dataflow modeling with unique multi-dimensional parallelism and reuse beyond spatial/temporal dimensions; (3) data-aware energy modeling with realistic device responses, layout-aware area estimation, link budget analysis, and bandwidth-adaptive memory modeling; and (4) seamless integration with model training framework for hardware/software co-simulation. By providing a unified, versatile, and high-fidelity simulation platform, SimPhony enables researchers to innovate and evaluate EPIC AI hardware across multiple domains, facilitating the next leap in emerging AI hardware. We open-source our codes at https://github.com/ScopeX-ASU/SimPhony
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