SHF:SMALL:Collaborative Research: Exploring Nonvolatility of Emerging Memory Technologies for Architecture Design
SHF:SMALL:合作研究:探索新兴内存技术的非易失性以用于架构设计
基本信息
- 批准号:1816833
- 负责人:
- 金额:$ 24.9万
- 依托单位:
- 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:2018-08-01 至 2021-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In modern computers, by combining the speed of traditional cache technology, the density of traditional main memory technology, and the non-volatility of flash memory, a new class of emerging byte-addressable nonvolatile memories (NVMs) have great potential to be used as the universal memories of the future. Such memory types include technologies such as phase-change memory, spin-transfer-torque magnetoresistive memory, and resistive memory. As these emerging memory technologies mature, it is important for computer architects to understand their pros and cons in a comprehensive manner in order to improve the performance, power, and reliability of future computer systems incorporating these systems which will be used in various application domains. Yet, most of previous research on NVM architecture is focused only on the performance, power, and density benefits and how to overcome challenges, such as write overhead and wearout issues. The non-volatility characteristic of NVM technologies is not fully explored. Therefore, this project examines how to exploit the non-volatility characteristic that distinguishes the emerging NVM technologies from traditional memory technologies, and investigate new memory architecture design with novel applications.The goal of this project is to advance the memory architecture design of various types of computer systems with a full exploration of the non-volatility characteristic of NVM technologies across architecture, system, and application levels. To this end, the project explores the design space of various types of computer systems, ranging from severs to embedded systems. In particular, the project identifies and addresses design issues in nonvolatile cache architecture, re-architects main memory structure to leverage the non-volatility characteristic to improve system performance and energy consumption, supports persistent memory systems in various use cases with emerging NVM technologies, and studies near-data-computing techniques applied for these NVM technologies. The successful outcome of this research is expected to provide the design guidelines for enabling both large capacity and fast-bandwidth nonvolatile memory/storage, which are beyond the present state-of-the-art. Consequently, the research will spawn new applications involving the computation on the exascale of data, e.g., data mining, machine learning, visual or auditory sensory data recognition, bio-informatics, etc.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.
在现代计算机中,通过结合传统缓存技术的速度、传统主存储器技术的密度以及闪存的非易失性,一类新兴的字节可寻址非易失性存储器(NVM)具有作为未来通用存储器的巨大潜力。此类存储器类型包括诸如相变存储器、自旋转移矩磁阻存储器和电阻存储器之类的技术。随着这些新兴存储器技术的成熟,计算机架构师必须全面了解它们的优缺点,以便提高未来包含这些系统的计算机系统的性能、功耗和可靠性,并将其用于各种应用领域。然而,之前对 NVM 架构的大多数研究仅关注性能、功耗和密度优势以及如何克服写入开销和磨损问题等挑战。 NVM技术的非易失性特征尚未得到充分探索。因此,本项目研究如何利用新兴NVM技术区别于传统存储器技术的非易失性特征,并研究具有新颖应用的新型存储器架构设计。本项目的目标是通过跨架构、系统和应用层面全面探索NVM技术的非易失性特征,推进各类计算机系统的存储器架构设计。为此,该项目探索了从服务器到嵌入式系统的各种类型计算机系统的设计空间。 特别是,该项目识别并解决非易失性缓存架构中的设计问题,重新架构主存储器结构以利用非易失性特性来提高系统性能和能耗,利用新兴NVM技术支持各种用例中的持久性内存系统,并研究应用于这些NVM技术的近数据计算技术。这项研究的成功成果预计将为实现大容量和快速带宽非易失性存储器/存储提供设计指南,这超出了目前的最先进水平。因此,该研究将催生涉及百亿亿级数据计算的新应用,例如数据挖掘、机器学习、视觉或听觉感官数据识别、生物信息学等。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(11)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm
- DOI:10.1145/3352460.3358329
- 发表时间:2019-10
- 期刊:
- 影响因子:0
- 作者:Wenqin Huangfu;Xueqi Li;Shuangchen Li;Xing Hu;P. Gu;Yuan Xie
- 通讯作者:Wenqin Huangfu;Xueqi Li;Shuangchen Li;Xing Hu;P. Gu;Yuan Xie
Rescuing RRAM-Based Computing From Static and Dynamic Faults
- DOI:10.1109/tcad.2020.3037316
- 发表时间:2021-10-01
- 期刊:
- 影响因子:2.9
- 作者:Lin, Jilan;Wen, Cheng-Da;Xie, Yuan
- 通讯作者:Xie, Yuan
Improving Streaming Graph Processing Performance using Input Knowledge
- DOI:10.1145/3466752.3480096
- 发表时间:2021-10
- 期刊:
- 影响因子:0
- 作者:Abanti Basak;Zheng Qu;Jilan Lin;Alaa R. Alameldeen;Zeshan A. Chishti;Yufei Ding;Yuan Xie
- 通讯作者:Abanti Basak;Zheng Qu;Jilan Lin;Alaa R. Alameldeen;Zeshan A. Chishti;Yufei Ding;Yuan Xie
Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications
克服图形处理应用程序中内存层次结构的低效率
- DOI:10.1109/iccad51958.2021.9643434
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Lin, Jilan;Li, Shuangchen;Ding, Yufei;Xie, Yuan
- 通讯作者:Xie, Yuan
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures
类脑计算:从超越 CMOS 技术到超越冯·诺依曼架构的冒险
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Amrouch, Hussam;Chen, Jian-Jia;Roy, Kaushik;Xie, Yuan;Chakraborty, Indranil;Huangfu, Wenqin Huangfu;Liang, Ling;Tu, Fengbin;Wang, Cheng;Yayla, Mikail
- 通讯作者:Yayla, Mikail
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Yuan Xie其他文献
GENOMIC CHARACTERISTICS OF ADHESION MOLECULES IN PATIENTS WITH SYMPTOMATIC PULMONARY EMBOLISM
有症状肺栓塞患者粘附分子的基因组特征
- DOI:
10.1136/heartjnl-2012-302920y.8 - 发表时间:
2012 - 期刊:
- 影响因子:5.7
- 作者:
Yuan Xie;Zhu Gong;Qianglin Duan;Qiang Wang;Haoming Song;A. Liang;Hao Wang;Wen;Lemin Wang - 通讯作者:
Lemin Wang
The Value of Big N Target Auditors in Corporate Takeovers
Big N Target 审计师在公司收购中的价值
- DOI:
10.2139/ssrn.1465151 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Yuan Xie;Han Yi;Yinqi Zhang - 通讯作者:
Yinqi Zhang
Curcumin restrains hepatic glucose production by blocking cAMP/PKA signaling and reducing acetyl CoA accumulation in high-fat diet (HFD)-fed mice
姜黄素通过阻断 cAMP/PKA 信号传导并减少高脂饮食 (HFD) 喂养的小鼠中乙酰辅酶 A 的积累来抑制肝葡萄糖的产生
- DOI:
10.1016/j.mce.2018.02.018 - 发表时间:
2018-10 - 期刊:
- 影响因子:4.1
- 作者:
Zixia Wang;Dan Xu;Linlin She;Yirui Zhang;Qingli Wei;Jiye Aa;Guangji Wang;Baolin Liu;Yuan Xie - 通讯作者:
Yuan Xie
Association Between Arterial Blood Gas Variation and Intraocular Pressure in Healthy Subjects Exposed to Acute Short-Term Hypobaric Hypoxia
暴露于急性短期低压缺氧的健康受试者的动脉血气变化与眼压之间的关联
- DOI:
10.1167/tvst.8.6.22 - 发表时间:
2019 - 期刊:
- 影响因子:3
- 作者:
Yuan Xie;Yiquan Yang;Ying Han;Di;Yunxiao Sun;Xin;Anh Nguyen;Yihan Chen;Jiaxin Tian;Qing Zhang;C. Xin;K. Cao;Huai;Xiaofang Liu;Guozhong Wang;Ningli Wang - 通讯作者:
Ningli Wang
Heterogeneous spheroids with tunable interior morphologies by dropletbased microfluidics
通过基于液滴的微流体技术制备具有可调内部形态的异质球体
- DOI:
10.1088/1758-5090/ac5e12 - 发表时间:
2022 - 期刊:
- 影响因子:9
- 作者:
Zhen Zhan;Zeyang Liu;Haochen Nan;Jianjie Li;Yuan Xie;Chengzhi Hu - 通讯作者:
Chengzhi Hu
Yuan Xie的其他文献
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{{ truncateString('Yuan Xie', 18)}}的其他基金
SPX: Collaborative Research: Ula! - An Integrated Deep Neural Network (DNN) Acceleration Framework with Enhanced Unsupervised Learning Capability
SPX:合作研究:乌拉!
- 批准号:
1725447 - 财政年份:2017
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
II-New: RICARDO: Research Infrastructure for Circuit and Architecture Design with Emerging Technologies
II-新:RICARDO:利用新兴技术进行电路和架构设计的研究基础设施
- 批准号:
1730309 - 财政年份:2017
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
XPS: FULL: DSD: Collaborative Research: Parallelizing and Accelerating Metagenomic Applications
XPS:完整:DSD:协作研究:并行化和加速宏基因组应用
- 批准号:
1533933 - 财政年份:2015
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
SHF: Medium: ASKS - Architecture Support for darK Silicon
SHF:中:ASKS - 对 darK Silicon 的架构支持
- 批准号:
1409798 - 财政年份:2014
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
SHF: Small: Collaborative Research: STEMS: STatistic Emerging Memory Simulator
SHF:小型:协作研究:STEMS:统计新兴内存模拟器
- 批准号:
1461698 - 财政年份:2014
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
SHF: Medium: ASKS - Architecture Support for darK Silicon
SHF:中:ASKS - 对 darK Silicon 的架构支持
- 批准号:
1500848 - 财政年份:2014
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
SHF: Small: Collaborative Research: STEMS: STatistic Emerging Memory Simulator
SHF:小型:协作研究:STEMS:统计新兴内存模拟器
- 批准号:
1218867 - 财政年份:2012
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
ADAMS: Architecture and Design Automation for 3D Multi-core Systems
ADAMS:3D 多核系统的架构和设计自动化
- 批准号:
0903432 - 财政年份:2009
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
CSR: Medium: Collaborative Research: Providing Predictable Timing for Task Migration in Embedded Multi-Core Environments (TiME-ME)
CSR:中:协作研究:为嵌入式多核环境中的任务迁移提供可预测的时序 (TiME-ME)
- 批准号:
0905365 - 财政年份:2009
- 资助金额:
$ 24.9万 - 项目类别:
Continuing Grant
Student Travel Support for International Symposium on High-Performance Computer Architecture (HPCA) 2010
2010 年高性能计算机架构 (HPCA) 国际研讨会的学生旅行支持
- 批准号:
0952841 - 财政年份:2009
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
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