SHF: Small: Memory Persistency: programming paradigms for byte-addressable, non-volatile memories

SHF：小型：内存持久性：字节可寻址、非易失性内存的编程范例

• 批准号: 1525372
• 负责人: Thomas Wenisch
• 金额: $ 50万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1525372&HistoricalAwards=false
• 关键词: SHF; Small; Memory; Persistency; programming

For over a decade, researchers in industry and academia have sought new techniques to store data so vast amounts of data can be stored inexpensively and accessed quickly. Today, computer systems typically have three kinds of data storage: rotating disks for cheap-but-slow, long-term, bulk data storage; main memory for fast, but expensive access to data applications are actively using; and FLASH, which behaves much like rotating disks, but offers somewhat faster access at a higher price per bit. However, we are now at the cusp of availability of new storage technologies that offer performance close to that of main memory, but can store data durably?that is, when the computer is powered off?at a cost per bit between Flash and main memory. These new non-volatile memory devices add a new layer to the computer system data storage hierarchy between memory and FLASH. Within a decade, systems incorporating these new non-volatile memories will become widely available. Indeed, as cost and manufacturing processes improve, such memories may become the preferred storage for small devices in the ``Internet of Things'' and become critical to performance and recoverability in cloud systems. These new memories open up the possibility to explore new formats and structures for storing data across computer system power failures. Unlike disk and FLASH, data in non-volatile memories can be accessed at very fine granularity?individual data items (e.g., bytes)?rather than coarse-grained blocks of data. This fine-grain access enables the development of data structures that reliably store data even if power fails unexpectedly, but with greater performance and simplicity than data storage on disk or FLASH. Existing computer main memory systems have not been designed with durability across power failures in mind, since the data is lost when power fails, and therefore do not try to maintain any specific order in which data is written to memory. However, controlling this order of writing data is critical to allowing a system to recover and continue operation if power fails while writes are in progress. This research project will develop new ways for programmers to efficiently and easily design high-performance data structures that can recover from unexpected failures by carefully controlling the order in which data is recorded. The research will be performed in close collaboration with industry, and integrated with the principal investigators? course offerings in operating systems and parallel computer architecture.

十多年来，工业和学术界的研究人员一直在寻求新技术来存储数据，以便可以廉价地存储大量数据并迅速访问。 如今，计算机系统通常有三种数据存储：旋转磁盘，用于便宜，但长期，批量数据存储；快速但昂贵访问数据应用程序的主要内存正在积极使用；和Flash的行为类似于旋转磁盘，但以每位更高的价格提供了更快的访问速度。 但是，我们现在处于新的存储技术的可用性风口浪尖，它们提供的性能接近主内存的性能，但是可以持久存储数据？也就是说，当计算机电源电源时，闪光灯和主内存之间的费用为每位。 这些新的非易失性内存设备在内存和Flash之间的计算机系统数据存储层次结构中添加了一个新图层。 在十年之内，结合这些新的非易失性记忆的系统将广泛使用。 确实，随着成本和制造过程的改善，这些记忆可能成为``物联网''中小型设备的首选存储空间，并且对云系统的性能和可恢复性至关重要。这些新记忆为探索新格式和结构的可能性开辟了可能性，以跨计算机系统功率故障存储数据。 与磁盘和闪光灯不同，可以在非常细的粒度上访问非易失性记忆中的数据？单个数据项（例如，字节）？而不是粗粒的数据块。 这种细粒度访问可以开发数据结构，即使功率出乎意料的失败，但比磁盘或闪光灯上的数据存储更大，但性能和简单性更高。 现有的计算机主存储系统尚未考虑到跨功率故障的耐用性，因为当功率故障时数据丢失，因此不会试图维护任何将数据写入内存的特定顺序。 但是，控制此编写数据的顺序对于允许系统在播放时恢复并继续操作至关重要。 该研究项目将为程序员开发新的方法，以高效，轻松地设计高性能数据结构，通过仔细控制记录数据的顺序，可以从意外失败中恢复。 该研究将与行业密切合作进行，并与主要研究人员集成？操作系统和并行计算机体系结构中的课程产品。