片上无线通信在多核架构上的全面系统探索

Rafael A. Medina, Joshua Kein, Y. Qureshi, Marina Zapater, G. Ansaloni, David Atienza Alonso
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引用次数: 0

摘要

为了发展可持续和更强大的信息技术(IT)基础设施,“内存墙”带来的挑战对高性能和高效率的多核计算系统的设计至关重要。在这种背景下,纳米天线集成的最新进展使新的短距离通信范式成为可能,有望带来颠覆性的收益。为了评估下一代多核服务器设计的潜在好处,从整个系统的角度探索无线通信链路的影响是至关重要的,要考虑到复杂的体系结构和应用程序特征。为此,在这项工作中,我们引入了流行的gem5全系统级模拟器的扩展,从而能够模拟具有片上无线信道的多核平台。这个新的扩展允许无线和有线互连的不同组合的灵活调查,以及不同的连接协议。我们通过执行架构探索来展示其功能,目标是使用AlexNet神经网络基准执行图像推理的多核系统。实现核心之间的无线通信而不是传统的片上有线互连时,可以获得2.3倍的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures
In order to develop sustainable and more powerful information technology (IT) infrastructures, the challenges posed by the “memory wall” are critical for the design of high-performance and high-efficiency many-core computing systems. In this context, recent advances in the integration of nano-antennas, enabling novel short-distance communication paradigms, promise disruptive gains. To gauge their potential benefit for the next-generation of many-core server designs, it is crucial to explore the impact of wireless communication links from a whole-system viewpoint, considering complex architectures and applications characteristics. To this end, in this work we introduce an extension to the popular gem5 full system-level simulator, enabling the simulation of many-core platforms featuring on-chip wireless channels. This new extension allows the flexible investigation of different combinations of wireless and wired interconnects, as well as diverse connection protocols. We showcase its capabilities by performing an architectural exploration, targeting a multi-core system executing image inference using an AlexNet Neural Network benchmark. A 2.3x speedup is obtained when implementing wireless communication between cores instead of traditional on-chip wired interconnects.
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