Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures
Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures
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DOI：
10.23919/date56975.2023.10136923
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发表时间：
2023-04
期刊：
影响因子：
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通讯作者：
M. Niemier;X.S. Hu;L. Liu;M. Sharifi;I. O’Connor;David Atienza Alonso;G. Ansaloni;Can Li;Asif Khan;Daniel C. Ralph
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文献类型：
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作者：
M. Niemier;X.S. Hu;L. Liu;M. Sharifi;I. O’Connor;David Atienza Alonso;G. Ansaloni;Can Li;Asif Khan;Daniel C. Ralph
人们对“端到端”分析非常感兴趣，这种分析可以捕捉材料、设备和/或架构层面的创新将如何影响应用层面的品质因数。然而，有无数的器件和架构的组合需要研究，我们必须建立系统的方法来准确地探索和剔除广阔的设计空间。我们的目标是捕捉材料/器件级别的创新如何最终影响与可用于逻辑和/或存储器的现有和新兴技术相关的品质因数。我们将重点介绍如何与研究人员在设计层次结构的这些级别上进行合作，以及帮助构建经过良好校准的设备模型的努力，从而反过来支持架构设计空间探索，这将有助于确定使用新技术来支持感兴趣的应用程序级工作负载的最有希望的方法。对于给定的计算工作负载，我们可以定量评估技术驱动架构的潜在优势，以确定最有希望的前进路径。由于存在大量潜在有趣的设备架构组合，因此开发经过良好校准的分析建模工具以更快速地评估给定（可能是异构的）解决方案的潜在价值至关重要。我们重点介绍该领域最近的努力和需求。
There is great interest in “end-to-end” analysis that captures how innovation at the materials, device, and/or archi-tectural levels will impact figures of merit at the application-level. However, there are numerous combinations of devices and architectures to study, and we must establish systematic ways to accurately explore and cull a vast design space. We aim to capture how innovations at the materials/device-level may ultimately impact figures of merit associated with both existing and emerging technologies that may be employed for either logic and/or memory. We will highlight how collaborations with researchers at these levels of the design hierarchy - as well as efforts to help construct well-calibrated device models - can in-turn support architectural design space explorations that will help to identify the most promising ways to use new technologies to support application-level workloads of interest. For given compute workloads, we can then quantitatively assess the potential benefits of technology-driven architectures to identify the most promising paths forward. Because of the large number of potentially interesting device-architecture combinations, it is of the utmost importance to develop well-calibrated analytical modeling tools to more rapidly assess the potential value of a given (likely heterogeneous) solution. We highlight recent efforts and needs in this space.