The never-ending demand for high performance and energy efficiency is pushing designers towards an increasing level of heterogeneity and specialization in modern computing systems. In such systems, creating efficient memory architectures is one of the major opportunities for optimizing modern workloads (e.g., computer vision, machine learning, graph analytics, etc.) that are extremely data-driven. However, designers demand proper design methods to tackle the increasing design complexity and address several new challenges, like the security and privacy of the data to be elaborated. This paper overviews the current trend for the design of domain-specific memory architectures. Domain-specific architectures are tailored for the given application domain, with the introduction of hardware accelerators and custom memory modules while maintaining a certain level of flexibility. We describe the major components, the common challenges, and the state-of-the-art design methodologies for building domain-specific memory architectures. We also discuss the most relevant research projects, providing a classification based on our main topics.

中文翻译：

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特定领域内存架构调查

对高性能和能效的永无止境的需求正在推动设计人员在现代计算系统中提高异构性和专业化水平。在此类系统中，创建高效的内存架构是优化高度数据驱动的现代工作负载（例如，计算机视觉、机器学习、图形分析等）的主要机会之一。然而，设计人员需要适当的设计方法来应对日益增加的设计复杂性并解决若干新挑战，例如要详细阐述的数据的安全性和隐私性。本文概述了当前领域特定内存架构设计的趋势。特定于领域的架构是为给定的应用领域量身定制的，随着硬件加速器和定制内存模块的引入，同时保持一定程度的灵活性。我们描述了构建特定领域内存架构的主要组件、常见挑战和最先进的设计方法。我们还讨论了最相关的研究项目，根据我们的主要主题进行分类。