CSR: Small: Collaborative Research: Instruction Address Translation Revisited

CSR：小型：协作研究：重新审视指令地址转换

• 批准号: 1618497
• 负责人: Sandhya Dwarkadas
• 金额: $ 25万
• 依托单位: University of Rochester
• 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: 2016-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618497&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; Instruction

Applications continue to grow both in the size of their code and in the amountof data they access. Whether on mobile, desktop, or server platforms,applications are written in a modular fashion, relying heavily on commonfunctionality provided by a large number of libraries. Modern operatingsystems leverage this commonality by sharing libraries across applications toavoid duplicate copies of instructions in memory. However, operating systemsstill maintain independent memory management (address translation) datafor each process, consuming memory resources proportional to the number ofsimultaneously executing processes. The goal of this project is to enhancethe efficiency of memory system access and management for shared codelibraries. The success of these efforts will contribute to the long-termsustainability of the world's fast evolving digital economy and society,reducing computational waste and improving responsiveness. The educationcomponent will include improving classroom instruction by contributing newcourse modules as well as training graduate students in the importance ofefficient sharing.This project involves designing novel hardware and software to promoteefficient access to shared code in a multi-tasking environment, including: 1)new operating system memory management mechanisms and policies to eliminateduplication and minimize cache and translation lookaside buffer (TLB)footprint, examining the tradeoffs between the use of variable segments andhierarchical page tables; 2) reexamining the need for caching translationswhen utilizing emerging low-latency persistent memory; and 3) using availableprotection support for safe translation sharing in modern TLBs in addition todesigning new hardware support to improve efficiency.

应用程序继续以其代码的规模和访问的数量数据的数量增长。 无论是在移动，台式机还是服务器平台上，应用程序都是以模块化方式编写的，严重依赖大量库提供的共同功能。 现代操作系统系统通过在应用程序中共享库来利用这种通用性，以避免重复记忆中的指令副本。 但是，操作系统为每个过程维护独立的内存管理（地址翻译）数据，消耗与同样执行过程的数量成正比的内存资源。 该项目的目的是提高共享CODELIBRARIES的内存系统访问和管理的效率。 这些努力的成功将有助于全球快速发展的数字经济和社会的长期可持续性，从而减少计算浪费并提高响应能力。 The educationcomponent will include improving classroom instruction by contributing newcourse modules as well as training graduate students in the importance ofefficient sharing.This project involves designing novel hardware and software to promoteefficient access to shared code in a multi-tasking environment, including: 1)new operating system memory management mechanisms and policies to eliminateduplication and minimize cache and translation lookaside buffer (TLB)footprint, examining the使用可变片段和近级结构页表之间的权衡； 2）重新验证在利用新出现的低延迟持续记忆时缓存翻译的需求； 3）使用可用的保护支持在现代TLB中进行安全翻译共享，此外，还可以设计新的硬件支持以提高效率。

项目成果

The Impact of Page Size and Microarchitecture on Instruction Address Translation Overhead

• DOI: 10.1145/3600089
• 发表时间: 2023-05
• 期刊: ACM Transactions on Architecture and Code Optimization
• 影响因子: 1.6
• 作者: Yufeng Zhou;A. Cox;S. Dwarkadas;Xiaowan Dong

MAPPER: Managing Application Performance via Parallel Efficiency Regulation

• DOI: 10.1145/3501767
• 发表时间: 2022-06-01
• 期刊: ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION
• 影响因子: 1.6
• 作者: Srikanthan，Sharanyan;Chakraborti，Sayak;Das，Sandhya Dwarka
• 通讯作者: Das，Sandhya Dwarka

Preventing Coherence State Side Channel Leaks Using TimeCache

• DOI: 10.1109/tc.2022.3209922
• 发表时间: 2023-02
• 期刊: IEEE Transactions on Computers
• 影响因子: 3.7
• 作者: Divya Ojha;S. Dwarkadas