CRII: CSR: Automatic Cross-Layer Memory Management to Achieve Power and Performance Goals

该项目的重点是开发一个框架，使用户能够比传统方法更有效地控制和管理内存资源，并有可能在广泛的计算领域显著提高计算性能和能源效率。该项目在从研究发现转化为商业应用的过程中解决了以下技术差距：(1)它将开发必要的系统工具和软件，以便在内存管理期间跨层有效地交流和整合内存使用信息，(2)它将生成静态分析、概要分析和机器学习领域的新知识，以预测和分类内存使用行为，(3)它将允许研究人员创建和探索新的协作式内存管理算法和技术，以及(4)它将调查和评估各种协作内存管理方案的潜力，以使用各种现实的工作负载和使用场景来实现不同的功率和性能目标。此外，一名研究生将通过开发跨层内存管理框架并将其发布到开源社区，获得创新和技术转换经验。具体地说，该项目将探索和评估内存管理过程中跨层协作的效用。很难控制和优化内存功率和带宽，因为这些影响依赖于垂直执行堆栈的多层活动。然而，当前系统没有尝试协调上层软件中的存储器使用与操作系统和硬件中的放置和管理。该项目将开发跨层内存管理的全系统实现，其中(A)应用层确定数据对象使用模式，将对象分配到虚拟地址空间中的适当位置/页面，并将相应的页级内存使用信息传送到操作系统，以及(B)操作系统层根据来自内存硬件的体系结构信息来组织其物理内存结构，并在决定使用哪个物理页面来支持特定虚拟页面时结合应用程序指南。

This project focuses on developing a framework that will allow users to control and manage memory resources more effectively than conventional approaches, and has the potential to significantly improve both computing performance and energy efficiency in a wide range of computing domains. This project addresses the following technology gaps as it translates from research discovery toward commercial application: (1) It will develop the system tools and software necessary to effectively communicate and incorporate memory usage information across layers during memory management, (2) It will generate new knowledge in the areas of static analysis, profiling, and machine learning for the purposes of predicting and classifying memory usage behavior, (3) It will allow researchers to create and explore new collaborative memory management algorithms and techniques, and (4) It will investigate and evaluate the potential of various collaborative memory management schemes for achieving different power and performance goals using a variety of realistic workloads and usage scenarios. In addition, one graduate student will receive innovation and technology translation experiences through the development of the cross-layer memory management framework, and its release into the open source community.Specifically, the project will exploring and assess the utility of cross-layer collaboration during memory management. It is difficult to control and optimize memory power and bandwidth because these effects depend upon activity across multiple layers of the vertical execution stack. However, current systems make no attempt to coordinate memory usage in the upper-level software with placement and management in the operating system and hardware. This project will develop a full system implementation of cross-layer memory management, where (a) the application-layer determines data object usage patterns, assigns objects to appropriate locations/pages in the virtual address space, and conveys corresponding page-level memory usage information to the OS, and (b) the OS-layer organizes its physical memory structures according to architectural information from the memory hardware, and incorporates the application guidance when deciding which physical page to use to back a particular virtual page.