多核神经形态计算sip的芯片封装自动协同设计流程

Jingjing Lan, V. P. Nambiar, Rheeshaalaen Sabapathy, R. Dutta, C. T. Chong, M. D. Rotaru, Kuang-Kuo Lin, S. Bhattacharya, K. Chai, A. Do
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引用次数: 1

摘要

片上系统(SoC)设计的复杂性和成本每年都在不断增加,这逐渐为2.5D系统级封装(SiP)设计带来了更多的机会。虽然2.5D集成技术为基于芯片的异构系统提供了优势,但它也带来了更复杂的总体设计流程、有限的EDA工具支持、物理设计优化问题、中间层规划困难和复杂的系统级验证等挑战。此外,还需要精确的芯片间连接建模、芯片表征和顶层仿真活动来全面验证sip。为了应对这些挑战,我们共享了一个基于芯片的自动化协同设计流程:使用标准EDA设计工具构建在主干网上,开发了一个用于顶级SiP网络列表生成的自动SiP寄存器传输语言(RTL)生成器;采用芯片组装路由器和寄生提取工具进行芯片间连接路由;中间层设计和凸点放置与铸造厂定义的重新分配层(RDL)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Automatic Chip-Package Co-Design Flow for Multi-core Neuromorphic Computing SiPs
The complexity and cost of system-on-chip (SoC) designs keep increasing every year, which has progressively led to more opportunities for 2.5D System-in-Package (SiP) design. While 2.5D integration technology offers advantages for heterogeneous chiplet-based systems, it also poses challenges of a more complex overall design flow with limited EDA tools support, physical design optimization issues, interposer floor-planning difficulties and complex system-level verification. Furthermore, accurate inter-chiplet connection modeling, chiplet characterization and top-level simulation activities are also needed for comprehensive verification of SiPs. To tackle these challenges, we share an automated chiplet-based codesign flow: built on the backbone with standard EDA design tools, an automatic SiP register transfer language (RTL) generator is developed for top-level SiP netlist generation; inter-chiplet connection routing with chip assembly router and parasitic extraction tools; interposer design and bumps placement with the foundry defined redistribution layer (RDL).
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