CAREER: Multicore-Based Parallel Disk Systems for Large-Scale Data-Intensive Computing
职业:用于大规模数据密集型计算的基于多核的并行磁盘系统
基本信息
- 批准号:0845257
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-08-01 至 2016-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
To improve disk I/O performance, one may integrate multicore processors with parallel disk systems. Unfortunately, architectures and data processing algorithms for multicore-based parallel disk systems are still in their infancy. This motivates us to develop novel architectures for parallel disk systems, where significant multicore processing power and memory are integrated into parallel disk drives. This CAREER project provides the first parallel disk system in which large parts of data and I/O processing are offloaded to multicore processors, embedded in disk drives. The proposed techniques and mechanisms are highly adaptive to dynamic workloads with both large and small disk requests, making modern parallel disk systems leverage multicore processors for better performance and scalability.The overall objective of this CAREER Development project is to build hardware and software parallel disk architectures that put substantial multicore computing power on disks. The research consists of three basic tasks: (1) designing hardware and software architectures for multicore-based parallel disk systems, (2) developing multicore-based data processing techniques, and (3) building software performance models and an analysis toolkit. The educational plan include: (1) establishing a storage systems laboratory; (2) developing new courses; (3) implementing the concept of a mini-conference to educate students; and (4) increasing underrepresented student involvement in research activities. In addition, the project would benefit society by developing hardware and software modules for next-generation parallel disk systems, where multicore processors and disk drives are tightly integrated to boost disk I/O performance.
为了提高磁盘I/O性能,可以将多核处理器与并行磁盘系统集成。不幸的是,基于多核的并行磁盘系统的体系结构和数据处理算法仍处于起步阶段。这促使我们为并行磁盘系统开发新的架构,其中显着的多核处理能力和内存集成到并行磁盘驱动器。这个CAREER项目提供了第一个并行磁盘系统,其中大部分数据和I/O处理被卸载到嵌入在磁盘驱动器中的多核处理器。所提出的技术和机制是高度适应动态工作负载与大小的磁盘请求,使现代并行磁盘系统利用多核处理器更好的性能和可扩展性。这个职业发展项目的总体目标是建立硬件和软件并行磁盘架构,把大量的多核计算能力的磁盘。该研究包括三个基本任务:(1)设计基于多核的并行磁盘系统的硬件和软件体系结构,(2)开发基于多核的数据处理技术,(3)建立软件性能模型和分析工具包。教育计划包括:(1)建立一个存储系统实验室;(2)开发新课程;(3)实施小型会议的概念来教育学生;以及(4)增加代表性不足的学生参与研究活动。此外,该项目还将通过为下一代并行磁盘系统开发硬件和软件模块来造福社会,其中多核处理器和磁盘驱动器紧密集成,以提高磁盘I/O性能。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Xiao Qin其他文献
Crash-severity modeling
碰撞严重程度建模
- DOI:
10.1016/b978-0-12-816818-9.00005-6 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
D. Lord;Xiao Qin;Srinivas R. Geedipally - 通讯作者:
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Fluorene-Based Conjugated Microporous Polymers: Preparation and Chemical Sensing Application
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- DOI:
10.1002/marc.201700445 - 发表时间:
2017 - 期刊:
- 影响因子:4.6
- 作者:
Zhang Qiujing;Yu Sen;Wang Qian;Xiao Qin;Yue Yong;Ren Shijie - 通讯作者:
Ren Shijie
Detecting Temporal shape changes with the Euler Characteristic Transform
使用欧拉特征变换检测时间形状变化
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
L. Marsh;Felix Y. Zhou;Xiao Qin;Xin Lu;H. Byrne;H. Harrington - 通讯作者:
H. Harrington
Network-based landscape of research strengths of universities in Mainland China
中国大陆大学研究优势网络格局
- DOI:
10.1016/j.physa.2017.02.058 - 发表时间:
2017-07 - 期刊:
- 影响因子:0
- 作者:
Liu Zihua;Xiao Qin;Zhan Qian;Gu Changgui;Yang Huijie - 通讯作者:
Yang Huijie
Preparation and Adsorption Application Study of Fluorine-containing Conjugated Microporous Polymers
含氟共轭微孔聚合物的制备及吸附应用研究
- DOI:
10.6023/a19020066 - 发表时间:
2019 - 期刊:
- 影响因子:2.5
- 作者:
Yue Yong;Qian Zhiqi;Kong Fanan;Xiao Qin;Ren Shijie - 通讯作者:
Ren Shijie
Xiao Qin的其他文献
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{{ truncateString('Xiao Qin', 18)}}的其他基金
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1618669 - 财政年份:2016
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QoSec: A Novel Middleware-Based Approach to Teaching Computer Security Courses
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0837341 - 财政年份:2009
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$ 40万 - 项目类别:
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0917137 - 财政年份:2009
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
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- 批准号:
0742187 - 财政年份:2007
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0757778 - 财政年份:2007
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Continuing Grant
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0702781 - 财政年份:2007
- 资助金额:
$ 40万 - 项目类别:
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