Variability-Energy Interactions at the Microarchitecture to System-Level Interface for 2D and 3D Architectures

项目编号：0702451PI名称：Diana marculescu标题：可变性- 2D和3D架构的微架构到系统级接口的能量相互作用机构：卡内基梅隆大学摘要随着技术的不断扩展，越来越多的不明确的晶体管被放置在每个芯片上，可变性正成为微架构师关注的一个关键问题。虽然在过去，在设备和电路级别上解决可变性就足够了（因此从微架构师中抽象出来），但我们正在达到这样一个点，即微架构级别的设计师将需要考虑可变性的影响，或者牺牲越来越多的产量和/或性能。为了解决这些问题，我们建议为高性能处理器中最常见的微架构结构（从数据路径模块到SRAM和CAM阵列）开发可参数化的可变性模型。然后，这些可变性模型可以用于增强任何现有的单核或多核模拟框架，并允许早期识别哪些微架构决策更有可能加剧或过滤掉不必要的可变性影响。该项目计划通过提出微架构师可以在2D和3d架构中使用的模型来解决这些问题，而不必依赖复杂的设备或电路级别的可变性信息。这里提出的研究的一个组成部分是它对卡内基梅隆大学PI的教育活动的影响，以及通过支持前沿应用程序开发的整体社会影响。除了为研究生提供研究场所外，拟议的研究还将与其他教育活动无缝集成，例如本科生，研究生或少数民族学生的指导和招聘，以及课程开发或改造，以反映下一代系统设计的不断变化的景观。

Proposal ID: 0702451PI Name: Diana MarculescuTitle: Variability-Energy Interactions at the Micro-architecture to System-Level Interface for 2D and 3D ArchitecturesInstitution: Carnegie Mellon UniversityABSTRACTVariability is becoming a key concern for micro-architects as technology scaling continues and more and more increasing ill-defined transistors are placed on each die. While in the past it was sufficient for variability to be addressed at the device and circuit levels (and so abstracted away from the micro-architect), we are reaching a point where designers at the micro-architecture level will need to consider the effects of variability or sacrifice larger and larger amounts of yield and/or performance. To address these issues, we propose to develop parameterizable variability models for the most common micro-architecture structures used in high-performance processors, ranging from data-path modules to SRAM and CAM arrays. These variability models can then be used to augment any existing single- or multi-core simulation framework and allow for early identification of which micro-architecture decisions are more likely to exacerbate or filter out unwanted variability effects. The project plans to address these issues by proposing models that micro-architects can work with for both 2D and 3Darchitectures, without having to rely on complex device- or circuit-level variability information.An integral component of the research proposed here is its impact on educational activities of the PI at Carnegie Mellon University, as well as its overall societal impact via enabling frontier application development. In addition to providing a venue for graduate student research, the proposed research is envisioned to be seamlessly integrated with other educational activities, such as undergraduate, graduate, or minority student mentoring and recruiting, as well as course development or revamping to reflect the continuously changing landscape of next generation system design.