SHF: Medium: Collaborative Research: Ultra-Responsive Architectures for Mobile Plattorm

SHF:媒介:协作研究:移动平台的超响应架构

基本信息

项目摘要

Conventional microprocessors are designed primarily for sustainedperformance; they can operate at near-peak performance essentiallyindefinitely until their energy source is exhausted. In battery andcooling constrained environments such as mobile devices, sustained power(and, consequently, peak performance) must be limited to at most a fewwatts so that the device can dissipate heat using only passiveconvection. However, many interactive mobile applications (such ashandwriting/speech recognition or image-based search) instead call forbursts of intense computation in response to user input, creating theneed for a new ultra-responsive operating regime: rather than limit peakpower assuming sustained operation, systems should instead exploit heatstorage to enable brief computation bursts that greatly exceedsustainable thermal limits without overheating. This projectinvestigates an approach called "computational sprinting", the centralessence of which is to compute at unsustainable rates but only brieflyso that temperatures do not reach unsafe levels.The goal of this project is to address the architectural, thermal,electrical, and software barriers to ultra-responsiveness viacomputational sprinting. In particular, the project explores: (1)architectures and memory systems that sprint via parallelism (activatingtens of reserve functional units/cores) and voltage boosting(overdriving cores for single-thread performance) while facilitatingfast burst onsets; (2) thermal designs that improve thermal responsebehavior to enable longer and more intense sprints; (3) mobile-optimized electrical designs that provide stable supply voltagesdespite current surges of an order-of-magnitude or more; and (4) software mechanisms that explicitly manage limited thermal budgets and anticipate and stage data needed during the sprint. The projectincludes the fabrication of an experimental testbed to approximate thecomputational, thermal and electrical capabilities of a future many-coremobile device and to provide practical experience with sprinting.Project impacts include (1) developing and advancing techniques forimproving the responsiveness of mobile devices and (2) integrating thediscoveries into a new cross-departmental course on computer systemdesign.
传统的微处理器主要是为持续性能而设计的;它们可以在接近峰值的性能下工作,基本上无限期地工作,直到它们的能源耗尽。在诸如移动的设备等电池和冷却受限的环境中,持续功率(以及因此的峰值性能)必须被限制在至多几瓦,以便设备可以仅使用被动对流来散热。然而,许多交互式移动的应用程序(如手写/语音识别或基于图像的搜索)反而需要响应用户输入的密集计算,从而需要一种新的超响应操作机制:而不是限制峰值功率假设持续运行,系统应该利用热存储来实现短暂的计算突发,大大超过可持续的热限制,而不会过热。 该项目研究一种称为“计算冲刺”的方法,其核心本质是以不可持续的速度进行计算,但只是简单地进行计算,以便温度不会达到不安全的水平。该项目的目标是通过计算冲刺解决超响应性的建筑,热,电和软件障碍。特别是,该项目探讨:(1)架构和内存系统,通过并行冲刺(激活数十个备用功能单元/内核)和升压(过驱动内核以实现单线程性能),同时促进快速爆发;(2)热设计,改善热响应行为,以实现更长时间和更激烈的冲刺;(3)移动优化的电气设计,提供稳定的电源电压,即使电流激增一个数量级或更多;以及(4)软件机制,其明确地管理有限的热预算,并且预测和分级在冲刺期间所需的数据。 该项目包括制造一个实验测试台,以接近未来多核移动设备的计算、热和电能力,并提供短跑的实践经验。项目影响包括:(1)开发和推进提高移动的设备响应能力的技术;(2)将这些发现整合到一个新的跨部门计算机系统设计课程中。

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 }}

Thomas Wenisch其他文献

Effect of system and operational parameters on the performance of an immersion-cooled multichip module for high performance computing
系统和运行参数对高性能计算浸没式冷却多芯片模块性能的影响
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rui Zhang;Marc Hodes;Nathan Lower;Ross Wilcoxon;J. Gess;S. Bhavnani;Bharath Ramakrishnan;Wayne Johnson;D. Harris;R. Knight;Michael Hamilton;Charles Ellis;Ari Glezer;Arun Raghavan;Marios C Papaefthymiou;Thomas Wenisch;Milo Martin;Kevin Pipe
  • 通讯作者:
    Kevin Pipe

Thomas Wenisch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('Thomas Wenisch', 18)}}的其他基金

Collaborative Research: Architecture Support for Programming Languages and Operating Systems (ASPLOS) 2018 Student Travel Grant Proposal
协作研究:编程语言和操作系统的架构支持 (ASPLOS) 2018 年学生旅费资助提案
  • 批准号:
    1800771
  • 财政年份:
    2018
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
VEC: Medium: Large-Scale Visual Recognition: From Cloud Data Centers to Wearable Devices
VEC:中:大规模视觉识别:从云数据中心到可穿戴设备
  • 批准号:
    1539011
  • 财政年份:
    2015
  • 资助金额:
    $ 56万
  • 项目类别:
    Continuing Grant
SHF: Medium: Collaborative Research: Ultra-Responsive Architectures for Mobile Platforms
SHF:中:协作研究:移动平台的超响应架构
  • 批准号:
    1623834
  • 财政年份:
    2015
  • 资助金额:
    $ 56万
  • 项目类别:
    Continuing Grant
NSF Workshop on Sustainable Data Centers
NSF 可持续数据中心研讨会
  • 批准号:
    1523304
  • 财政年份:
    2015
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
SHF: Small: Memory Persistency: programming paradigms for byte-addressable, non-volatile memories
SHF:小型:内存持久性:字节可寻址、非易失性内存的编程范例
  • 批准号:
    1525372
  • 财政年份:
    2015
  • 资助金额:
    $ 56万
  • 项目类别:
    Continuing Grant
SHF: Medium: Collaborative Research: Advanced Architectures for Hand-held 3D Ultrasound
SHF:媒介:协作研究:手持式 3D 超声的先进架构
  • 批准号:
    1406739
  • 财政年份:
    2014
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
SHF: Medium: Collaborative Research: Ultra-Responsive Architectures for Mobile Platforms
SHF:中:协作研究:移动平台的超响应架构
  • 批准号:
    1161681
  • 财政年份:
    2012
  • 资助金额:
    $ 56万
  • 项目类别:
    Continuing Grant
CAREER: Programming Interfaces and Hardware Designs for a Polymorphic Multicore Cache Architecture
职业:多态多核缓存架构的编程接口和硬件设计
  • 批准号:
    0845157
  • 财政年份:
    2009
  • 资助金额:
    $ 56万
  • 项目类别:
    Continuing Grant
CSR-DMSS,SM: Beyond Solid State Disks: Using FLASH to Save Energy in Enterprise Systems
CSR-DMSS,SM:超越固态硬盘:使用闪存在企业系统中节省能源
  • 批准号:
    0834403
  • 财政年份:
    2008
  • 资助金额:
    $ 56万
  • 项目类别:
    Continuing Grant
CPA-CSA: Virtualization Mechanisms for Zero-Idle-Power and Thermally-Efficient Data Centers
CPA-CSA:零空闲功耗和热效率数据中心的虚拟化机制
  • 批准号:
    0811320
  • 财政年份:
    2008
  • 资助金额:
    $ 56万
  • 项目类别:
    Continuing Grant

相似海外基金

Collaborative Research: SHF: Medium: Differentiable Hardware Synthesis
合作研究:SHF:媒介:可微分硬件合成
  • 批准号:
    2403134
  • 财政年份:
    2024
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Enabling Graphics Processing Unit Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的图形处理单元性能仿真
  • 批准号:
    2402804
  • 财政年份:
    2024
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Tiny Chiplets for Big AI: A Reconfigurable-On-Package System
合作研究:SHF:中:用于大人工智能的微型芯片:可重新配置的封装系统
  • 批准号:
    2403408
  • 财政年份:
    2024
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Toward Understandability and Interpretability for Neural Language Models of Source Code
合作研究:SHF:媒介:实现源代码神经语言模型的可理解性和可解释性
  • 批准号:
    2423813
  • 财政年份:
    2024
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Enabling GPU Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的 GPU 性能仿真
  • 批准号:
    2402806
  • 财政年份:
    2024
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Differentiable Hardware Synthesis
合作研究:SHF:媒介:可微分硬件合成
  • 批准号:
    2403135
  • 财政年份:
    2024
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Tiny Chiplets for Big AI: A Reconfigurable-On-Package System
合作研究:SHF:中:用于大人工智能的微型芯片:可重新配置的封装系统
  • 批准号:
    2403409
  • 财政年份:
    2024
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Enabling GPU Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的 GPU 性能仿真
  • 批准号:
    2402805
  • 财政年份:
    2024
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: High-Performance, Verified Accelerator Programming
合作研究:SHF:中:高性能、经过验证的加速器编程
  • 批准号:
    2313024
  • 财政年份:
    2023
  • 资助金额:
    $ 56万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Verifying Deep Neural Networks with Spintronic Probabilistic Computers
合作研究:SHF:中:使用自旋电子概率计算机验证深度神经网络
  • 批准号:
    2311295
  • 财政年份:
    2023
  • 资助金额:
    $ 56万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了