CSR:Small:System Support for Petabyte Memories

CSR：Small：系统支持 PB 内存

基本信息

批准号：
1815656
负责人：
Michael Swift
金额：
$ 49.98万
依托单位：
University of Wisconsin-Madison
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-06-15 至 2022-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1815656&HistoricalAwards=false
关键词：
CSR Small System Support Petabyte

项目摘要

Computers have long separated working memory from permanent storage. Memory has been managed via fixed-sized pages (like a page in a book) while storage gets managed with large, variable-sized files (like a whole book). Especially for computers that provide online services, memory is growing to mammoth size. Equally important, new technologies will allow memory to be permanent like storage. This project embraces these changes and will develop techniques to manage memory more like files to speed access to huge data sets in a mammoth amount of memory. The new techniques will be driven with new tools, data, and analysis, all made publicly available. This project has five thrusts. First, the project will build and distribute new tools for emulating computers with mammoth memories via virtualization and application-specific compression. Second, the project will develop "file-only memory" to support efficient management of the arbitrarily large regions that compose a mammoth memory. Third, the project will analyze and mitigate memory fragmentation that plagues old and new solutions to memory management. Fourth, the project will development a full software-hardware stack for address translation that scales efficiently to mammoth memory sizes. Fifth, the project will engage undergraduates in both teaching of computer science generally, and in the proposed research as assistants to graduate student researchers. This project promises more efficient computers with mammoth memories, leading to higher performance and fewer wasted resources. Through the development and release of emulation tools, this work will allow rapid efficient studies of mammoth memories not currently feasible. The study of fragmentation will spur further research on new memory management techniques to specifically address fragmentation of mammoth memories. The proposed system enhancements will enable mammoth-memory systems at reduced cost and increased efficiency and simplify management of large data sets. Finally, the investigators will release all workloads, tools, and emulation platforms as open source. The project repository will be available from the research group home page (http://research.cs.wisc.edu/multifacet/) as well as the investigators' home web pages. Emulation tools will be published to source code repositories allowing collaborative development. Data sets will be published in full on a web site hosted at the University of Wisconsin at Madison or be provided via a query interface to large data sets. Papers and articles will also be available on the research group web page.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.

计算机长期以来将工作内存与永久存储。存储器已通过固定尺寸的页面（例如书中的页面）进行管理，而存储器则使用大型，可变大小的文件（如整本书）进行管理。特别是对于提供在线服务的计算机，内存正在增长到猛mm的大小。同样重要的是，新技术将使内存像存储一样永久性。该项目包含这些更改，并将开发技术来管理更像文件之类的内存，以加快对巨大内存量的巨大数据集的访问。新技术将通过新工具，数据和分析来驱动，所有这些都可以公开使用。该项目有五个推力。首先，该项目将通过虚拟化和特定于应用程序特定的压缩来构建和分发新工具，以模仿猛mm象记忆的计算机。其次，该项目将开发“仅文件内存”，以支持构成猛mm象内存的任意大型区域的有效管理。第三，该项目将分析和减轻内存碎片，困扰着新旧解决方案的内存管理解决方案。第四，该项目将开发一个完整的软件硬件堆栈，用于地址翻译，该堆栈有效地扩展到猛mm象记忆的大小。第五，该项目将在计算机科学的教学以及作为研究生研究人员的助理研究中吸引本科生。该项目承诺具有猛烈记忆的更高效的计算机，从而导致更高的性能和更少的浪费资源。通过开发和释放仿真工具，这项工作将允许对目前不可行的猛mm象记忆进行快速的有效研究。碎片化研究将刺激对新的记忆管理技术的进一步研究，以专门解决猛mm象记忆的碎片化。所提出的系统增强功能将使猛mm象内存系统以降低的成本和提高效率，并简化大型数据集的管理。最后，调查人员将把所有工作负载，工具和仿真平台作为开源。项目存储库将从研究组主页（http://research.cs.wisc.edu/multifacet/）以及调查人员的家庭网页上获得。仿真工具将发布到允许协作开发的源代码存储库。数据集将在威斯康星大学麦迪逊大学托管的网站上完整发布，或通过查询界面与大型数据集提供。该论文和文章也将在研究小组网页上提供。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评论标准来评估值得支持的。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

CBMM: Financial Advice for Kernel Memory Managers

CBMM：内核内存管理器的财务建议

DOI：
发表时间：
2022
期刊：
Proceedings of the USENIX Annual Technical Conference
影响因子：
0
作者：
Mark Mansi, Bijan Tabatabai
通讯作者：
Mark Mansi, Bijan Tabatabai

Gables: A Roofline Model for Mobile SoCs

Gables：移动 SoC 的 Roofline 模型

DOI：
10.1109/hpca.2019.00047
发表时间：
2019
期刊：
2019 IEEE International Symposium on High Performance Computer Architecture (HPCA
影响因子：
0
作者：
Hill, Mark;Janapa Reddi, Vijay
通讯作者：
Janapa Reddi, Vijay

∅sim: Preparing System Software for a World with Terabyte-scale Memories

sim：为具有 TB 级存储器的世界准备系统软件