SHF: Small: Redefining IO Abstractions for Non-Volatile, Solid-State Memories: Languages and System Architectures

随着计算系统和整个社会变得更加以数据为中心，能够快速有效地访问数据的重要性变得至关重要。 在当前的系统中，硬盘性能限制了数据密集型任务的整体系统性能，并最终限制了我们快速有效处理大量数据的能力。 一种新的先进的固态非易失性存储器即将彻底改变计算机系统存储和访问持久数据的方式。 这些内存技术比传统的磁盘驱动器快100到1000倍。 然而，它们需要对许多系统组件以及这些组件之间的接口进行彻底的重新设计。 如果不理解和实施这些变化，我们将永远无法实现这些记忆的全部潜力。在这项研究中，PI建议设计，实现和评估新的系统组件和抽象访问非易失性，固态存储器。 他们将构建硬件原型系统、仿真系统和定制软件系统，以降低访问这些存储器的成本，并使程序员更容易安全可靠地使用它们。重新定义程序用于访问和操作持久状态的接口和抽象将对计算机系统设计的各个方面产生重大影响。 它将需要思考硬件、操作系统、编程语言和应用程序级设计决策，并为数据密集型计算提供新模型。 PI将把编程模型，原型和应用程序纳入UCSD CSE部门的课程。 最后，广泛和跨学科的研究范围使其成为招募传统上在计算领域代表性不足的群体的绝佳工具。

As computing systems and society at large becomes more data-centric, the importance of being able to access data quickly and efficiently becomes critical. In current systems, hard disk performance limits overall system performance for data-intensive tasks and ultimately limits our ability to efficiently process massive amount of data quickly. A new class of advanced, solid-state non-volatile memories are poised to revolutionize how computer systems store and access persistent data. These memory technologies are 100s to 1000s times faster than conventional disk drives. However, they require a complete re-engineering of numerous system components as well as the interfaces between those components. Without understanding and implementing these changes, we will never realize the full potential of these memories. In this research, the PIs propose to design, implement, and evaluate new system components and abstractions for accessing non-volatile, solid-state memories. They will construct hardware prototype system, simulation systems, and custom-built software systems to reduce the cost of accessing these memories and make them easier for programmers to use safely and reliably.Redefining the interface and abstractions that programs use to access and manipulate persistent state will have significant effects across all aspects of computer system design. It will require thinking hardware, operating system, programming language, and application-level design decisions and enable new models for data-intensive computation. The PIs will incorporate the programming models, prototypes, and applications into the curriculum of the CSE department at UCSD. Finally, the broad and interdisciplinary scope of the rsearch makes it an excellent tool for recruiting groups that are traditionally underrepresented in computing fields.