权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

I/UCRC Phase II: Center on Intelligent Storage

I/UCRC二期：智能存储中心

基本信息

批准号：
1439722
负责人：
Narasimha Reddy
金额：
$ 32.5万
依托单位：
Texas A&M Engineering Experiment Station
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-15 至 2020-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1439722&HistoricalAwards=false
关键词：
UCRC Phase II Center Intelligent

项目摘要

The University of Minnesota is completing single university Phase I I/UCRC Center on Intelligent Storage (CRIS) and is proposing to establish a multi-university I/UCRC Phase II Center on intelligent storage with Texas A&M University and Temple University. The center research will focus on intelligent storage devices that have greater semantic and structural knowledge about their stored data as compared to standard disk technology. Additionally, center will develop high-performance long-term data management systems that will ensure the necessary levels of security throughout the data?s lifecycle.Currently, there is emphasis on addressing the needs of ?big data? environment and ?cloud computing? such as identifying and locating the right information and managing and preserving the existing data. In order to meet these needs, new storage architectures, different storage systems design, new data models, new information access methods and new ways to deliver information will be identified. The focus of the center will be on how to solve the big data problem with new storage technologies, new designs of storage systems/architectures, emerging management frameworks and tools in the current computing and communication environment. Industry has recognized the importance of this new computing and communication environment. Many new products for storage/file systems, storage management, and ways of preserving the data have evolved. However, most of these applications require more research and development. The center will utilize synergies from both academia and industry, encourage innovative and creative thinking for integrated solutions that combine techniques from storage systems, file systems and information retrieval, enhance the understanding of large scale data management and information retrieval, and develop prototypes for long-term data preservation.The ?big data? problem is currently faced by not only individuals, but also by almost all segments of the society, including professional groups, research communities, companies and government. The proposed center will facilitate the process of developing and researching solutions that can efficiently manage and preserve large volumes of data and provide needed information to an end user on-demand from anywhere at any time. The potential outcomes includes fostering the advancement of science and technology, making the society more efficient and secure, providing better health-care delivery, and better ways of preserving information and arts produced by our culture. The research results will be disseminated to general public via journal publications and conference presentations. The Center will enhance the education process by bringing input from industry, developing new courses at both undergraduate and graduate levels and emphasizing the diversity of the student population. Special effort will be carried out to bring in more female and under-represented minority students. All three sites plan to educate a new generation of systems oriented students to satisfy the needs from both industry and government.

明尼苏达大学正在完成单一大学智能存储I/UCRC第一阶段中心(CRIS)，并提议与德克萨斯农工大学和坦普尔大学建立一个多大学I/UCRC智能存储第二阶段中心。该中心的研究将专注于智能存储设备，与标准磁盘技术相比，这些设备对其存储的数据具有更多的语义和结构知识。此外，中心将开发高性能的长期数据管理系统，确保在数据的整个生命周期内获得必要级别的安全。目前，重点是解决大数据的需求。环境和云计算？例如识别和定位正确的信息以及管理和保存现有数据。为了满足这些需求，将确定新的存储体系结构、不同的存储系统设计、新的数据模型、新的信息访问方法和提供信息的新方式。该中心的重点将是如何在当前的计算和通信环境中利用新的存储技术、新的存储系统/架构设计、新兴的管理框架和工具来解决大数据问题。工业界已经认识到这种新的计算和通信环境的重要性。许多用于存储/文件系统、存储管理和数据保存方式的新产品已经发展。然而，这些应用大多需要更多的研究和开发。该中心将利用学术界和产业界的协同效应，鼓励创新和创造性思维，将存储系统、文件系统和信息检索的技术结合在一起，提高对大规模数据管理和信息检索的理解，并开发长期数据保存的原型。这一问题目前不仅是个人面临的问题，而且也是社会几乎所有部门都面临的问题，包括专业团体、研究界、公司和政府。拟建的中心将促进开发和研究解决方案的过程，这些解决方案可以有效地管理和保存大量数据，并随时随地按需向最终用户提供所需信息。潜在的结果包括促进科学和技术的进步，使社会更加高效和安全，提供更好的医疗保健服务，以及更好地保存我们文化产生的信息和艺术。研究成果将通过期刊出版物和会议报告向公众传播。该中心将通过引入工业界的投入、开发本科生和研究生水平的新课程以及强调学生群体的多样性来加强教育进程。将特别努力引进更多女性和代表性不足的少数民族学生。这三个网站都计划培养新一代以系统为导向的学生，以满足行业和政府的需求。

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）

DRAIN: Deadlock Removal for Arbitrary Irregular Networks

DOI：
10.1109/hpca47549.2020.00044
发表时间：
2020-02
期刊：
2020 IEEE International Symposium on High Performance Computer Architecture (HPCA)
影响因子：
0
作者：
Mayank Parasar;Hossein Farrokhbakht;Natalie D. Enright Jerger;Paul V. Gratz;T. Krishna;Joshua San Miguel
通讯作者：
Mayank Parasar;Hossein Farrokhbakht;Natalie D. Enright Jerger;Paul V. Gratz;T. Krishna;Joshua San Miguel

SWAP: Synchronized Weaving of Adjacent Packets for Network Deadlock Resolution

DOI：
10.1145/3352460.3358255
发表时间：
2019-10
期刊：
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
影响因子：
0
作者：
Mayank Parasar;Natalie D. Enright Jerger;Paul V. Gratz;Joshua San Miguel;T. Krishna
通讯作者：
Mayank Parasar;Natalie D. Enright Jerger;Paul V. Gratz;Joshua San Miguel;T. Krishna

Virtualize and share non-volatile memories in user space

DOI：
10.1007/s42514-020-00019-8
发表时间：
2020-02
期刊：
CCF Transactions on High Performance Computing
影响因子：
0.9
作者：
C. Chou;Jaemin Jung;A. Reddy;Paul V. Gratz;Doug Voigt
通讯作者：
C. Chou;Jaemin Jung;A. Reddy;Paul V. Gratz;Doug Voigt

SB-Fetch: synchronization aware hardware prefetching for chip multiprocessors

SB-Fetch：芯片多处理器的同步感知硬件预取

DOI：
10.1145/3392717.3392735
发表时间：
2020
期刊：
ICS '20: Proceedings of the 34th ACM International Conference on Supercomputing
影响因子：
0
作者：
AlBarakat, Laith M.;Gratz, Paul V.;Jiménez, Daniel A.
通讯作者：
Jiménez, Daniel A.

SpecLock: Speculative Lock Forwarding

SpecLock：推测锁转发