SBIR Phase II: SSD In-Situ Processing

小型企业创新研究(SBIR)第二阶段项目的更广泛影响/商业潜力将是从根本上改变存储设备的功能，并为存储提供现有存储技术无法解决的第三项功能-实际处理用户数据的能力。要进行计算，只需通过存储接口传输计算请求和结果数据，从而减少接口流量和所需的功率。大数据的出现和超大规模服务器技术的日益使用导致了不同于传统企业存储的额外存储层的创建。这一新的层需要更大的容量、更低的成本、更低的运营能力，但仍必须表现出企业级的可靠性。现有技术无法满足这些特性的组合，而使用大数据典型的大数据集会导致解决方案效率低下。存储的信息代表当今公司挖掘的大型非结构化数据，用于帮助决定公司方向、广告和盈利的关键信息和趋势。未来的应用包括用于视频分析的机器学习、基因组测序以及启用雾存储和雾计算等。此小型企业创新研究(SBIR)第二阶段项目探索大数据范式转变，将处理能力尽可能地推向数据。原位处理技术将这一概念推向了绝对的极限，通过将计算能力直接放入存储器本身，并消除了在处理之前将数据移动到主存储器的需要。技术创新始于为满足现代数据中心需求而量身定做的企业级固态硬盘的坚实基础。将增加的支持这些功能的关键技术包括硬件辅助的服务质量控制、通过使用高级ECC实现低成本的3D-TLC和QLC NAND闪存，以及支持超大容量驱动器的专有弹性闪存转换层。在这一基础上增加的最后一个要素将是直接对数据进行计算的能力，以及在硬件加速器的辅助下进行专门的现场处理。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will be to fundamentally change what a storage device can do, and give storage a third capability that is not addressed by existing storage technology - the ability to actually process user data. For the computation to take place, only the computational request and the resulting data need to transfer over the storage interface, reducing interface traffic and the required power. The advent of Big Data and the increasing use of Hyperscale Server technology have resulted in the creation of an additional storage tier that is different from traditional enterprise storage. This new tier requires significantly larger capacity yet lower cost, lower operating power, and yet must still exhibit enterprise level reliability. This combination of characteristics cannot be serviced by existing technologies, and execution with large data sets typical of Big Data results in inefficient solutions. The information being stored represents the large, unstructured data mined by today's companies for key information and trends that help dictate corporate direction, advertising, and monetization. Future applications include machine learning for video analytics, genome sequencing and enabling Fog Storage and Fog Computing, among others.This Small Business Innovation Research (SBIR) Phase II project explores the Big Data paradigm shift where processing capability is pushed as close to the data as possible. The In-Situ processing technology pushes this concept to the absolute limit, by putting the computational capability directly into the storage itself and eliminating the need to move data to main memory before processing. The technology innovation begins with a solid foundation of an enterprise SSD tailored for the needs of modern Data Centers. Key technology that will be added to support these capabilities include hardware-assisted quality of service control, low-cost 3D-TLC and QLC NAND Flash enablement through the use of advanced ECC, and a proprietary elastic Flash Translation Layer to support extremely large capacity drives. The final element added to this foundation will be the ability to perform computation directly on the data with the addition of specialized In-Situ processing aided by hardware accelerators.