Architectural Techniques to Sustain Moore's Law to Enable Reliable, Secure, and Efficient Memory Systems
维持摩尔定律的架构技术,实现可靠、安全和高效的内存系统
基本信息
- 批准号:RGPIN-2019-05059
- 负责人:
- 金额:$ 2.04万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Moore's law has been instrumental in enabling scalable high-capacity memory systems. Unfortunately, sustaining Moore's law is challenging, as scaling the feature sizes of memory cells also reduces their reliability and makes them insecure. The long-term mission of this research is to investigate clever schemes that enable reliable and secure memory systems for a wide range of applications across different computing systems. Our research will significantly enhance energy efficiency, reduce energy costs, and help build high-performance computing systems. This work will enable Canadians to develop computing systems that provide significant economic and environmental gains. On a technological front, enabling secure and reliable high-capacity memory systems is essential for building data centers, smartphones, desktops, and supercomputers. Furthermore, these systems are instrumental in enabling Canada to be a leader in cloud computing, machine learning and artificial intelligence, commerce, and scientific computing. To this end, this program aims to provide three main research themes. 1. Computer hardware and architecture for fault tolerance: To help sustain Moore's law by improving memory reliability by using architecture and system-wide strategies. Currently, memory systems distribute data across several memory dies and keep error-codes to correct faulty data. Our program will go beyond these approaches and investigate cross-layer schemes, data redundancy strategies, new memory technologies, cell variability, and page mapping schemes to improve reliability further. 2. Security and Privacy: In this era of big data, machine learning and artificial intelligence, memory systems are increasingly being used to store and provide sensitive data. As the reliability of memory systems reduces, it is becoming even more challenging to store data securely. To make matters worse, as current architecture and system-level solutions tend to have significant performance and power overheads. Our program will look at architecture and systems-level solutions that will enable high security at low-costs. 3. Data Management: As memory capacity increases, its bandwidth also needs to grow proportionally. This program will investigate data compression strategies to enhance bandwidth seamlessly. Data compression in current systems tends to require massive software support and also incurs additional hardware overheads. Our program will explore low-cost data compression strategies at architecture and system-level for main memory, caches, and storage. Development of highly qualified personnel (HQP) is a critical requirement for Canada. One of the critical goals of this program is to train HQP to develop vital skills in the areas of computer architecture, statistics and probability theory, mathematical analysis, performance analysis, operating systems, compilers, and programming languages.
摩尔定律在实现可扩展的高容量存储器系统中起了重要作用。不幸的是,维持摩尔定律具有挑战性,因为缩放存储单元的特征尺寸也会降低其可靠性并使其不安全。这项研究的长期使命是研究聪明的计划,使可靠和安全的存储系统的广泛应用,在不同的计算系统。我们的研究将显著提高能源效率,降低能源成本,并帮助构建高性能计算系统。这项工作将使加拿大人能够开发计算系统,提供重大的经济和环境收益。在技术方面,实现安全可靠的大容量内存系统对于构建数据中心、智能手机、台式机和超级计算机至关重要。此外,这些系统有助于使加拿大成为云计算,机器学习和人工智能,商业和科学计算的领导者。为此,该计划旨在提供三个主要研究主题。1.计算机硬件和容错体系结构:通过使用体系结构和系统范围的策略来提高内存可靠性,从而帮助维持摩尔定律。当前,存储器系统跨若干存储器裸片分布数据并且保持错误代码以校正错误数据。我们的计划将超越这些方法,并研究跨层方案,数据冗余策略,新的存储器技术,单元可变性和页面映射方案,以进一步提高可靠性。2.安全性和隐私权:在这个大数据、机器学习和人工智能的时代,存储系统越来越多地被用于存储和提供敏感数据。随着存储器系统的可靠性降低,安全地存储数据变得更加具有挑战性。更糟糕的是,当前的架构和系统级解决方案往往具有显著的性能和功耗开销。我们的计划将着眼于架构和系统级解决方案,以低成本实现高安全性。3.数据管理:随着内存容量的增加,其带宽也需要按比例增长。该计划将研究数据压缩策略,以无缝地提高带宽。当前系统中的数据压缩往往需要大量的软件支持,并且还导致额外的硬件开销。我们的计划将探讨低成本的数据压缩策略,在架构和系统级的主存,缓存和存储。培养高素质人才是加拿大的一项关键要求。该计划的关键目标之一是培养HQP在计算机体系结构,统计和概率论,数学分析,性能分析,操作系统,编译器和编程语言领域发展重要技能。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Nair, PrashantJayaprakash其他文献
Nair, PrashantJayaprakash的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Nair, PrashantJayaprakash', 18)}}的其他基金
Architectural Techniques to Sustain Moore's Law to Enable Reliable, Secure, and Efficient Memory Systems
维持摩尔定律的架构技术,实现可靠、安全和高效的内存系统
- 批准号:
RGPIN-2019-05059 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Architectural Techniques to Sustain Moore's Law to Enable Reliable, Secure, and Efficient Memory Systems
维持摩尔定律的架构技术,实现可靠、安全和高效的内存系统
- 批准号:
RGPIN-2019-05059 - 财政年份:2020
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Architectural Techniques to Sustain Moore's Law to Enable Reliable, Secure, and Efficient Memory Systems
维持摩尔定律的架构技术,实现可靠、安全和高效的内存系统
- 批准号:
RGPIN-2019-05059 - 财政年份:2019
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Architectural Techniques to Sustain Moore's Law to Enable Reliable, Secure, and Efficient Memory Systems
维持摩尔定律的架构技术,实现可靠、安全和高效的内存系统
- 批准号:
DGECR-2019-00322 - 财政年份:2019
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Launch Supplement
相似国自然基金
EstimatingLarge Demand Systems with MachineLearning Techniques
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国学者研究基金
相似海外基金
RII Track-4:NSF: Design of zeolite-encapsulated metal phthalocyanines catalysts enabled by insights from synchrotron-based X-ray techniques
RII Track-4:NSF:通过基于同步加速器的 X 射线技术的见解实现沸石封装金属酞菁催化剂的设计
- 批准号:
2327267 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Standard Grant
CAREER: Data-Driven Hardware and Software Techniques to Enable Sustainable Data Center Services
职业:数据驱动的硬件和软件技术,以实现可持续的数据中心服务
- 批准号:
2340042 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Continuing Grant
Postdoctoral Fellowship: OPP-PRF: Leveraging Community Structure Data and Machine Learning Techniques to Improve Microbial Functional Diversity in an Arctic Ocean Ecosystem Model
博士后奖学金:OPP-PRF:利用群落结构数据和机器学习技术改善北冰洋生态系统模型中的微生物功能多样性
- 批准号:
2317681 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Standard Grant
Creating a reflective, assessment workbook for University teachers to enhance teaching techniques and improve student engagement, by incorporating International Baccalaureate (IB) teaching practices
通过纳入国际文凭 (IB) 教学实践,为大学教师创建反思性评估工作簿,以提高教学技巧并提高学生参与度
- 批准号:
24K06129 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Developing Advanced Cryptanalysis Techniques for Symmetric-key Primitives with Real-world Public-key Applications
使用现实世界的公钥应用开发对称密钥原语的高级密码分析技术
- 批准号:
24K20733 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Development of new molecular self-temperature sensing techniques using luminescence-absorption hybrid thermometry
利用发光-吸收混合测温法开发新型分子自温度传感技术
- 批准号:
24K17691 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Novel techniques of percutaneous sonography-guided surgical operations (SonoSurgery
经皮超声引导外科手术新技术(SonoSurgery
- 批准号:
10087309 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Collaborative R&D
ConSenT: Connected Sensing Techniques: Cooperative Radar Networks Using Joint Radar and Communication Waveforms
ConSenT:互联传感技术:使用联合雷达和通信波形的协作雷达网络
- 批准号:
EP/Y035933/1 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Fellowship
ERI: SDR Beyond Radio: Enabling Experimental Research in Multi-Node Optical Wireless Networks via Software Defined Radio Tools and Techniques
ERI:超越无线电的 SDR:通过软件定义无线电工具和技术实现多节点光无线网络的实验研究
- 批准号:
2347514 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Standard Grant
CRII: SHF: Embedding techniques for mechanized reasoning about existing programs
CRII:SHF:现有程序机械化推理的嵌入技术
- 批准号:
2348490 - 财政年份:2024
- 资助金额:
$ 2.04万 - 项目类别:
Standard Grant