A Cross-Layer Methodology for Design and Optimization of Networks in 2.5D Systems

A. Coskun, Furkan Eris, A. Joshi, A. Kahng, Yenai Ma, V. Srinivas
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引用次数: 13

Abstract

2.5D integration technology is gaining popularity in the design of homogeneous and heterogeneous many-core computing systems. 2.5D network design, both inter- and intra-chiplet, impacts overall system performance as well as its manufacturing cost and thermal feasibility. This paper introduces a cross-layer methodology for designing networks in 2.5D systems. We optimize the network design and chiplet placement jointly across logical, physical, and circuit layers to achieve an energy-efficient network, while maximizing system performance, minimizing manufacturing cost, and adhering to thermal constraints. In the logical layer, our co-optimization considers eight different network topologies. In the physical layer, we consider routing, microbump assignment, and microbump pitch constraints to account for the extra costs associated with microbump utilization in the inter-chiplet communication. In the circuit layer, we consider both passive and active links with five different link types, including a gas station link design. Using our cross-layer methodology results in more accurate determination of (superior) inter-chiplet network and 2.5D system designs compared to prior methods. Compared to 2D systems, our approach achieves 29% better performance with the same manufacturing cost, or 25% lower cost with the same performance.
2.5D系统网络设计与优化的跨层方法
2.5D集成技术在同构和异构多核计算系统的设计中越来越受欢迎。芯片间和芯片内的2.5D网络设计不仅会影响系统的整体性能,还会影响其制造成本和热可行性。本文介绍了一种用于2.5D系统网络设计的跨层方法。我们在逻辑层、物理层和电路层共同优化网络设计和芯片放置,以实现节能网络,同时最大化系统性能,最小化制造成本,并遵守热约束。在逻辑层,我们的协同优化考虑了八种不同的网络拓扑。在物理层,我们考虑路由、微凸点分配和微凸点间距约束,以考虑芯片间通信中与微凸点利用相关的额外成本。在电路层,我们考虑了五种不同链路类型的被动和主动链路,包括加油站链路设计。与之前的方法相比,使用我们的跨层方法可以更准确地确定(优越的)芯片间网络和2.5D系统设计。与2D系统相比,我们的方法在相同的制造成本下实现了29%的性能提升,或者在相同的性能下实现了25%的成本降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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