NSF-BSF: SHF: CCF: Small: Collaborative Research: Hardware/Software Design of Durable Data Structures and Algorithms for Non-Volatile Main Memory

NSF-BSF：SHF：CCF：小型：协作研究：非易失性主存储器的持久数据结构和算法的硬件/软件设计

基本信息

批准号：
1908806
负责人：
Ruth Bahar
金额：
$ 38.74万
依托单位：
Brown University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-07-01 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1908806&HistoricalAwards=false
关键词：
NSF BSF SHF CCF Small

项目摘要

Memory is said to be non-volatile if it does not lose its contents when it loses power (i.e., crashes). Hardware for non-volatile memory is advancing fast, and soon it is expected to displace volatile DRAM for main memory in many architectures. This project entails developing concurrent data structures and software that can exploit emerging forms of non-volatile memory that provide simple, faster, and more energy-efficient crash recovery. This research has the potential to benefit society by enhancing the robustness and fault-tolerance of systems on which modern society increasingly depends. The results of this research may also significantly improve energy-efficiency, since such systems would require smaller caches and fewer accesses to energy-hungry secondary storage devices. New curriculum development activities are also planned as part of this project. This project investigates how to make common data structures, such as queues, skip-lists, hash maps, and others, durable. Different levels of durability are considered, with special emphasis on high performance and ease of programming. The project also evaluates several memory architectures, including both conventional multilevel memory and emerging near-data processing architectures. A complementary effort investigates hardware primitives needed to flush caches, and to move data between volatile and non-volatile memory regions. Building on these efforts, the project will produce a collection of performance and energy-efficient durable concurrent data structures, packaged as software libraries that allow for easy adaptation by programmers. Evaluation will be done on synthetic benchmarks as well as concurrent applications such as concurrent key-value stores, work-stealing schedulers, and concurrent memory management.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

如果内存在断电（即崩溃）时不会丢失其内容，则称内存是非易失性的。非易失性存储器的硬件正在快速发展，预计很快它将在许多架构中取代易失性 DRAM 作为主存储器。该项目需要开发并发数据结构和软件，这些数据结构和软件可以利用新兴形式的非易失性内存，提供简单、更快、更节能的崩溃恢复。这项研究有可能通过增强现代社会日益依赖的系统的稳健性和容错性来造福社会。这项研究的结果还可能显着提高能源效率，因为此类系统需要更小的缓存和更少的对耗能二级存储设备的访问。新课程开发活动也计划作为该项目的一部分。该项目研究如何使常见数据结构（例如队列、跳过列表、哈希映射等）持久耐用。考虑了不同级别的耐用性，特别强调高性能和易于编程。该项目还评估了几种内存架构，包括传统的多级内存和新兴的近数据处理架构。另一项补充工作是研究刷新缓存以及在易失性和非易失性内存区域之间移动数据所需的硬件原语。在这些努力的基础上，该项目将产生一系列高性能和节能的持久并发数据结构，并将其打包为软件库，以便程序员轻松适应。评估将针对综合基准以及并发应用程序进行，例如并发键值存储、工作窃取调度程序和并发内存管理。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势进行评估，被认为值得支持以及更广泛的影响审查标准。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Eliminating Micro-Architectural Side-Channel Attacks using Near Memory Processing

使用近内存处理消除微架构侧通道攻击

DOI：
10.1109/seed55351.2022.00023
发表时间：
2022-09
期刊：
2022 IEEE International Symposium on Secure and Private Execution Environment Design (SEED
影响因子：
0
作者：
Nelson, Casey;Izraelevitz, Joseph;Bahar, R. Iris;Lehman, Tamara Silbergleit
通讯作者：
Lehman, Tamara Silbergleit

HybriDS: Cache-Conscious Concurrent Data Structures for Near-Memory Processing Architectures

HybriDS：用于近内存处理架构的缓存意识并发数据结构

DOI：
10.1145/3490148.3538591
发表时间：
2022-07-11
期刊：
Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures
影响因子：
0
作者：
Jiwon Choe;Andrew Crotty;T. Moreshet;Maurice Herlihy;R. I. Bahar
通讯作者：
R. I. Bahar

Concurrent Data Structures with Near-Data-Processing: an Architecture-Aware Implementation

具有近数据处理的并发数据结构：架构感知的实现

DOI：
10.1145/3323165.3323191
发表时间：
2019-06-17
期刊：
The 31st ACM Symposium on Parallelism in Algorithms and Architectures
影响因子：
0
作者：
Jiwon Choe;Amy Huang;T. Moreshet;Maurice Herlihy;R. I. Bahar
通讯作者：
R. I. Bahar

Towards Hardware Accelerated Garbage Collection with Near-Memory Processing

通过近内存处理实现硬件加速垃圾收集

DOI：
10.1109/hpec55821.2022.9926323
发表时间：
2022-09-19
期刊：
2022 IEEE High Performance Extreme Computing Conference (HPEC)
影响因子：
0
作者：
Samuel Thomas;Jiwon Choe;Ofir Gordon;E. Petrank;T. Moreshet;M. Herlihy;R. I. Bahar
通讯作者：
R. I. Bahar

Attacking memory-hard scrypt with near-data-processing

使用近数据处理攻击内存困难的 scrypt