CAREER: Architectural Support for CPU / GPU Hybridization

职业:CPU / GPU 混合的架构支持

基本信息

  • 批准号:
    1149539
  • 负责人:
  • 金额:
    $ 46.63万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-04-01 至 2019-08-31
  • 项目状态:
    已结题

项目摘要

One of the fundamental challenges facing the processor industry today is in continuing to address performance and scalability demands given the constraints of both energy and programmer efficiency. This CAREER project builds upon recently-introduced fused designs, which incorporate conventional microprocessors and graphics processors in the same package, in order to address these challenges through the development of more programmable, flexible, scalable, and secure hybrid architectures. Towards this long-term goal, this project investigates techniques that minimize limitations of the traditional coprocessing model, including performance bottlenecks, vulnerable shared memory spaces, and inflexible resource management. Specifically, this project explores thread divergence caused by complex control-flow and memory access, thread migration between cores, hardware accelerator design for tasks beyond traditional graphics processing, and adding security safeguards to match what is currently available on conventional microprocessors. In addition, this project also examines a variety of instruction set extensions, accelerator architectures, and models of computation that have the potential to lead to significant efficiency and programmer flexibility improvements. The expected impact is that this CAREER project will one day bear fruit in the form of another new segment of the computing industry, one that specializes in hybrid architectures that can scale to thousands of independent threads, while maintaining the capabilities of a traditional multi-user operating system and middleware. Broadly speaking, by advancing the state-of-the-art in computer architecture, this research will lead to improvements in consumer devices in terms of size and form factor, energy efficiency and battery life, and complexity and graphical fidelity of supported applications. Similarly, the usage of these architectures to enable continued performance scaling has the potential to have wide-ranging societal impact, through the advancement of those fields (e.g. bioinformatics, climate modeling, business intelligence) that utilize high-performance computing to enable innovative discovery. This project also includes a focus on expanding an existing course that the PI has developed, that takes a novel approach in introducing graphics processing and architecture from a hardware design perspective.
当今处理器行业面临的基本挑战之一是在能源和程序员效率的限制下继续满足性能和可扩展性需求。该CAREER项目建立在最近推出的融合设计的基础上,该设计将传统微处理器和图形处理器整合在同一封装中,以便通过开发更可编程、灵活、可扩展和安全的混合架构来应对这些挑战。为了实现这一长期目标,该项目研究了最大限度减少传统协处理模型限制的技术,包括性能瓶颈、易受攻击的共享内存空间和不灵活的资源管理。具体来说,该项目探讨了由复杂的控制流和内存访问、内核之间的线程迁移、传统图形处理之外的任务的硬件加速器设计以及添加安全保护措施以匹配传统微处理器当前可用的安全措施所引起的线程分歧。此外,该项目还研究了各种指令集扩展、加速器架构和计算模型,它们有可能显着提高效率和程序员的灵活性。预期的影响是,这个 CAREER 项目有一天将以计算行业的另一个新领域的形式结出硕果,该领域专门研究混合架构,可以扩展到数千个独立线程,同时保持传统多用户的功能操作系统和中间件。从广义上讲,通过推进最先进的计算机体系结构,这项研究将改善消费设备的尺寸和外形、能源效率和电池寿命,以及支持的应用程序的复杂性和图形保真度。同样,通过利用高性能计算实现创新发现的领域(例如生物信息学、气候建模、商业智能)的进步,使用这些架构来实现持续的性能扩展有可能产生广泛的社会影响。该项目还重点扩展 PI 开发的现有课程,该课程采用新颖的方法从硬件设计的角度介绍图形处理和架构。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Improving First Level Cache Efficiency for GPUs Using Dynamic Line Protection
使用动态线路保护提高 GPU 的一级缓存效率
An Adaptive Memory Management Strategy Towards Energy Efficient Machine Inference in Event-Driven Neuromorphic Accelerators
事件驱动神经形态加速器中实现节能机器推理的自适应内存管理策略
{{ 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 }}

Joseph Zambreno其他文献

A chaotic encryption scheme for real-time embedded systems: design and implementation
实时嵌入式系统的混沌加密方案:设计与实现
  • DOI:
    10.1007/s11235-011-9460-1
  • 发表时间:
    2011-06-02
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    A. P;e;e;Joseph Zambreno
  • 通讯作者:
    Joseph Zambreno
Comments on ''arithmetic coding as a non-linear dynamical system''
对“算术编码作为非线性动力系统”的评论
Polymorphic wavelet architectures using reconfigurable hardware
使用可重构硬件的多态小波架构
Cache design for mixed criticality real-time systems
混合关键实时系统的缓存设计
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    N. Kumar;Sudhanshu Vyas;R. Cytron;C. Gill;Joseph Zambreno;Phillip H. Jones
  • 通讯作者:
    Phillip H. Jones
Automated software attack recovery using rollback and huddle
使用回滚和拥挤的自动软件攻击恢复

Joseph Zambreno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('Joseph Zambreno', 18)}}的其他基金

Collaborative Research: ECSEL Scholarship Program (Electrical, Computer, and Software Engineers as Leaders)
合作研究:ECSEL 奖学金计划(电气、计算机和软件工程师作为领导者)
  • 批准号:
    1565130
  • 财政年份:
    2016
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Standard Grant
CPS: Breakthrough: Collaborative Research: Track and Fallback: Intrusion Detection to Counteract Carjack Hacks with Fail-Operational Feedback
CPS:突破:协作研究:跟踪和回退:入侵检测通过失败操作反馈来对抗劫车黑客
  • 批准号:
    1645987
  • 财政年份:
    2016
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Standard Grant
CSR: Small: Hardware Architectures for Data Mining at the Exascale
CSR:小型:用于百亿亿级数据挖掘的硬件架构
  • 批准号:
    1116810
  • 财政年份:
    2011
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Standard Grant
Collaborative Research: Security and Software Engineering Research Center (SSERC)
合作研究:安全与软件工程研究中心(SSERC)
  • 批准号:
    0968939
  • 财政年份:
    2010
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Continuing Grant
CT-M: Hardware Containers for Software Components - Detection and Recovery at the Hardware/Software Interface
CT-M:软件组件的硬件容器 - 硬件/软件接口的检测和恢复
  • 批准号:
    0831041
  • 财政年份:
    2009
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Continuing Grant

相似国自然基金

图对比学习支持下的矢量建筑物空间相似关系计算方法
  • 批准号:
    42301513
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
三维特征支持下的兼顾城-乡域适应知识迁移的建筑物精细提取
  • 批准号:
    42371406
  • 批准年份:
    2023
  • 资助金额:
    52 万元
  • 项目类别:
    面上项目
支持完形和化简机制的高分辨率遥感影像建筑物矢量提取深度学习模型研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
图卷积学习支持下的矢量型建筑物群模式识别方法研究
  • 批准号:
  • 批准年份:
    2020
  • 资助金额:
    24 万元
  • 项目类别:
    青年科学基金项目
公共建筑外围护结构节能设计智能决策支持模型及方法研究
  • 批准号:
  • 批准年份:
    2020
  • 资助金额:
    49 万元
  • 项目类别:
    面上项目

相似海外基金

CAREER: Systems and Architectural Support for Accelerator-Level Parallelism
职业:加速器级并行的系统和架构支持
  • 批准号:
    2044963
  • 财政年份:
    2021
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Continuing Grant
Institute for Accessible Science (IAS): Advancing Inclusion of Persons with Disab
无障碍科学研究所 (IAS):促进残疾人的包容
  • 批准号:
    8070273
  • 财政年份:
    2010
  • 资助金额:
    $ 46.63万
  • 项目类别:
CAREER: Architectural Support for Integrating NAND Flash Solid State Disks into Enterprise-Class Storage Systems
职业:将 NAND 闪存固态硬盘集成到企业级存储系统的架构支持
  • 批准号:
    0845105
  • 财政年份:
    2009
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Standard Grant
CAREER: Architectural Support for Automated Software Debugging
职业:自动化软件调试的架构支持
  • 批准号:
    0968667
  • 财政年份:
    2009
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Continuing Grant
CAREER: Architectural Support for Automated Software Debugging
职业:自动化软件调试的架构支持
  • 批准号:
    0747062
  • 财政年份:
    2008
  • 资助金额:
    $ 46.63万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了