构建可扩展的分布式模拟环境，加速存内计算芯片研发。
A Distributed Emulation Environment for In-Memory Computing Systems
- 采用分布式架构实现存内计算芯片的快速原型设计
- 支持微码测试与应用部署，可在真实芯片前完成系统验证
- 适合芯片设计、AI硬件团队用于早期系统评估
存内计算技术因低功耗和高效矩阵运算，被广泛应用于人工智能设备。芯片开发与系统集成耗时长，需在真实芯片问世前使用实时模拟环境进行系统分析、微码测试与应用部署。本文提出一种可扩展的分布式模拟系统，涵盖架构设计、软件开发工具及实验结果，验证了该模拟器在快速原型设计中的有效性，显著提升了存内计算系统开发效率。
原文摘要 · Abstract (English)
In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development of such a device and its integration in a system takes a significant amount of time and requires the use of a real-time emulation environment, where various system aspects are analyzed, microcode is tested, and applications are deployed, even before the real chip is available. In this work, we present the architecture, the software development tools, and experimental results of a distributed and expandable emulation system for rapid prototyping of integrated circuits based on in-memory computing technologies. Presented experimental results demonstrate the usefulness of the proposed emulator.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。