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.

应用程序的代码大小和访问的数据量都在持续增长。 无论是在移动的、桌面还是服务器平台上，应用程序都是以模块化的方式编写的，严重依赖于大量库提供的通用功能。 现代操作系统通过跨应用程序共享库来利用这种共性，以避免内存中指令的重复副本。 然而，操作系统仍然为每个进程维护独立的内存管理（地址转换）数据，消耗的内存资源与同时执行的进程数量成正比。 该项目的目标是提高共享代码交付的内存系统访问和管理的效率。 这些努力的成功将有助于世界快速发展的数字经济和社会的长期可持续性，减少计算浪费并提高响应能力。 教育部分将包括通过提供新的课程模块来改善课堂教学，以及对研究生进行有效共享重要性的培训。该项目涉及设计新颖的硬件和软件，以促进在多任务环境中有效访问共享代码，包括：1）新的操作系统内存管理机制和策略，以消除重复并最小化高速缓存和转换后备缓冲器（TLB）占用空间，检查使用可变段和分层页表之间的权衡; 2）重新检查在利用新兴的低延迟持久性内存时对缓存预防的需求;以及3）除了设计新的硬件支持以提高效率之外，还在现代TLB中使用对安全转换共享的可用保护支持。

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