CSR: Small: Memory System Optimizations to Enable Fast-Response Mobile Devices at Low Power

CSR：小：内存系统优化，以低功耗实现快速响应移动设备

• 批准号: 1526798
• 负责人: Hyesoon Kim
• 金额: $ 45万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1526798&HistoricalAwards=false
• 关键词: CSR; Small; Memory; System; Optimizations

The past decade has seen a paradigm shift in computing platforms. Emerging handheld devices such as Smartphones and Tablets have become one of the most common devices for computing in everyday use. Energy consumption is one of the prime considerations that influence the development of mobile hand-held devices, as it determines the duration for which the device remains usable on battery power. The usage patterns for devices such as smartphones are quite different from traditional computing devices such as laptops and desktops, and users have a different set of expectation from these handheld mobile devices. For example, mobile devices are expected to be always-on for at-least a day and to start-up and respond quickly. On the other hand, laptop/desktop devices are expected to perform well under heavy use, and the expectations of fast start-up and response are not as stringent. Furthermore, in terms of application usage, mobile systems tends to have burst usage with low-levels of multitasking, while desktop usage involves more continuous long-running programs with high-levels of multitasking. The project seeks to optimize the memory system in mobile devices to enable fast-response time while maintaining low power by levering these usage differences. It consists of a three-pronged approach: First, reducing active memory footprint size by analyzing the usage patterns of mobile users by developing a usage logging program. Second, developing intelligent error correction schemes that can reduce the refresh energy consumed by the memory system without compromising data integrity. Third, reducing the memory power by utilizing emerging Non Volatile Memory (NVM) technologies and developing data partitioning techniques that can keep critical data in NVM. Memory power consumption continues to be one of the main limiter of the battery life of mobile platforms. In additional to the general use as smartphone and tablets, efficient mobile memory system has use in several other application domains such as surveillance, automotive, environment, military, and biomedical. The techniques developed in our proposal will be useful for these domains as well. The infrastructure on usage logging and the usage characterization will foster other studies in the area of mobile memory systems.

在过去的十年中，计算平台发生了范式转变。智能手机和平板电脑等新兴手持设备已成为日常使用中最常见的计算设备之一。能源消耗是影响移动手持设备开发的主要考虑因素之一，因为它决定了该设备可在电池电源上可用的持续时间。智能手机等设备的使用模式与传统计算设备（例如笔记本电脑和台式机）完全不同，并且用户与这些手持式移动设备的期望集不同。例如，预计移动设备每天至少始终是对的，并且可以启动并迅速做出响应。另一方面，笔记本电脑/台式设备有望在大量使用中表现良好，并且对快速启动和响应的期望并不那么严格。此外，就应用程序使用而言，移动系统往往具有低级多任务处理的突发使用，而桌面使用情况涉及更连续的长期播放程序，并具有高级多任务处理。 该项目旨在优化移动设备中的内存系统，以实现快速响应时间，同时通过利用这些使用差异来保持低功率。 它由一种三管齐下的方法组成：首先，通过开发使用使用日志记录程序来分析移动用户的使用模式，从而降低了主动内存足迹的大小。其次，开发智能误差校正方案，可以减少存储系统消耗的刷新能量而不会损害数据完整性。 第三，通过利用出现的非挥发性内存（NVM）技术来降低内存功率，并开发可以将关键数据保留在NVM中的数据分配技术。 存储功耗仍然是移动平台电池寿命的主要限制之一。除了智能手机和平板电脑的一般用途外，有效的移动存储系统还在其他几个应用程序领域中使用，例如监视，汽车，环境，军事和生物医学。我们的提案中开发的技术也对这些领域也很有用。使用日志记录和用法表征的基础架构将在移动存储系统领域促进其他研究。