CIF: Small: Collaborative Research: Coding for Green Storage Technologies in Nonvolatile Memories

快速发展的现代非易失性存储技术以快闪存储器和相变存储器为代表。创建新的方案和架构来提高它们的能源效率、写入速度、可靠性和内存寿命是至关重要的。新方案应充分利用存储技术的独特特性，包括单元规划模型、误差模型和持久模型。关键是通过将新的编码方案与这些存储技术的物理特性紧密结合起来，更灵活、更稳健地控制细胞状态。本课题将基于非易失性存储器的编码理论，开发一种新的绿色存储技术。重点将放在闪存和相变存储器上，它们有许多共同的特点。将研究一种使用相对细胞水平表示数据的新方案；它优化了写入和纠错的能源效率。将开发一种新的可变能级电池技术，以最大限度地提高存储容量。新的纠错码将被设计用来纠正特定于内存的错误。此外，将开发新的处理技术来平衡高峰和非高峰时段的功耗。新设计将被整合形成一个全面的解决方案，并对其性能进行彻底的分析。该结果将有助于为基于非易失性存储器的高性能普适计算提供一个新的平台。

The fast-advancing modern nonvolatile memory technology includes flash memory and phase-change memory as the two most notable representatives. It is critical to create new schemes and architectures to improve their energy efficiency as well as their write speed, reliability and memory longevity. New schemes should fully utilize the unique properties of the memory technologies, including cell programming models, error models and endurance models. The key is to control cell states more flexibly and robustly by closely coupling novel coding schemes with the physics of these memory technologies.In this project, a novel green storage technology will be developed based on coding theory for nonvolatile memory. The focus will be on flash memory and phase-change memory that share many common features. A new scheme for representing data using relative cell levels will be studied; it optimizes the energy efficiency for both writing and error correction. A novel variable-level cell technology will be developed to maximize storage capacity. New error-correcting codes will be designed to correct memory-specific errors. In addition, new processing techniques will be developed to balance the power consumption at peak and non-peak times. The new designs will be integrated to form a comprehensive solution, and their performance will be analyzed thoroughly. The results will contribute to providing a new platform for high-performance ubiquitous computing based on nonvolatile memories.