通过基于芯片的多核架构实现数据中心规模的性能

Harsh Sharma, Sumit K. Mandal, J. Doppa, Ümit Y. Ogras, P. Pande
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引用次数: 1

摘要

基于芯片的2.5D系统在单个芯片上集成了多个较小的芯片,在执行计算和数据密集型应用方面越来越受欢迎。虽然更小的芯片(小芯片)降低了制造成本,但它们提供的功能也更少。因此,制造几个更小的芯片并将它们组合到一个系统中,可以在没有过高制造成本的情况下实现更大单片芯片的功能。这些小芯片通过中间层网络(NoP)连接。设计一个高性能和节能的NoP架构是必不可少的,因为它可以实现大规模的芯片集成。本文重点介绍了针对数据中心规模应用的2.5D系统设计合适的NoP体系结构的挑战和现有解决方案。我们还强调了未来的研究挑战,这些挑战源于当前最先进的技术,以使基于nop的2.5D系统得到广泛应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures
Chiplet-based 2.5D systems that integrate multiple smaller chips on a single die are gaining popularity for executing both compute-and data-intensive applications. While smaller chips (chiplets) reduce fabrication costs, they also provide less functionality. Hence, manufacturing several smaller chiplets and combining them into a single system enables the functionality of a larger monolithic chip without prohibitive fabrication costs. The chiplets are connected through the network-on-interposer (NoP). Designing a high-performance and energy-efficient NoP architecture is essential as it enables large-scale chiplet integration. This paper highlights the challenges and existing solutions for designing suitable NoP architectures targeted for 2.5D systems catered to datacenter-scale applications. We also highlight the future research challenges stemming from the current state-of-the-art to make the NoP-based 2.5D systems widely applicable.
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