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Memristor For Computing: Myth or Reality?

机译:计数器计算:神话或现实?

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摘要

CMOS technology and its sustainable scaling have been the enablers for the design and manufacturing of computer architectures that have been fuelling a wider range of applications. Today, however, both the technology and the computer architectures are suffering from serious challenges/walls making them incapable to deliver the right computing power at pre-defined constraints. This motivates the need of exploring new architectures and new technologies; not only to maintain the economic benefit of scaling, but also to enable the solutions of emerging computer power and data storage hungry applications such as big-data and data-intensive applications. This paper discusses the emerging memristor device as complementary (or alternative) to CMOS device and shows how this device can enable new ways of computing that will at least solve the challenges of today's architectures for some applications. The paper shows not only the potential of memristor devices in enabling new memory technologies and new logic design styles, but also their potential in enabling memory intensive architectures as well as neuromorphic computing due to their unique properties such as the tight integration with CMOS and the ability to learn and adapt.
机译:CMOS技术及其可持续扩展是设计和制造计算机架构的推动因素,这是一直促进更广泛的应用。然而,今天,技术和计算机架构都遭受严重挑战/墙壁,使其无法在预定限制的约束下提供正确的计算能力。这激励了探索新架构和新技术的需要;不仅要保持缩放的经济效益,还可以实现新兴计算机电源和数据存储饥饿应用的解决方案,如大数据和数据密集型应用。本文讨论了新兴的忆阻器设备的补充(或替代),以CMOS器件和显示该设备如何能够使计算至少会解决今天的架构对于某些应用所面临的挑战的新方法。本文不仅示出了忆阻器设备在实现新的记忆技术和新的逻辑设计风格方面的潜力,而且还表明它们在使内存密集型架构以及由于其独特的性质(如与CMOS的紧密集成)实现内存密集型架构以及神经形态计算的潜力学习和适应。

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