CSR: Small: Collaborative Research: Efficient Exploitation of Heterogeneous Memory through OS/Compiler Support

CSR：小型：协作研究：通过操作系统/编译器支持有效利用异构内存

• 批准号: 1619075
• 负责人: Felix Xiaozhu Lin
• 金额: $ 24.95万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1619075&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; Efficient

Memory is a key component of computers. Modern parallel architectures begin to employ heterogeneous memory to improve both latency and bandwidth of the memory subsystem. Typically, a heterogeneous memory system consists of a fast and a slow component and requires explicit software management. It puts unique burdens on programmers and compilers, especially in the domains of high-performance computing (HPC) and big data analytics. These challenges are crucial to the evolution of computer systems and therefore are key to future scientific discovery, economic prosperity, and national security.To address these challenges in exploiting heterogeneous memory, this project targets co-designing the compiler and the operating system (OS): it explores i) a new compiler design that supports heterogeneity-aware data management and ii) new OS facilities for efficient data move and fair memory sharing. Overall, this project serves as a stepping stone towards a long-term vision -- taming emerging heterogeneous hardware by tightly integrating programming and OS support.

内存是计算机的关键组成部分。现代平行体系结构开始采用异质记忆来改善内存子系统的延迟和带宽。通常，异质存储系统由快速和缓慢的组件组成，需要明确的软件管理。它给程序员和编译器带来了独特的负担，尤其是在高性能计算（HPC）和大数据分析的领域。这些挑战对于计算机系统的演变至关重要，因此对于未来的科学发现，经济繁荣和国家安全是关键。要解决这些挑战在利用异构记忆时的这些挑战，该项目的目标是共同设计编译器和操作系统（OS）：IT探索i）的新编译器设计，该设计支持了新型的杂种 - 瓦关和公平的数据管理和II级别的OSS and II II II II II II II II II II II II）。总体而言，该项目是朝着长期愿景的垫脚石 - 通过紧密整合编程和操作系统支持来驯服新兴的异质硬件。

项目成果

StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone

• 发表时间: 2018-08
• 作者: Heejin Park;Shuang Zhai;Long Lu;F. Lin