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CAREER: Energy-Efficient Architectures and Their Interaction with Software: A Java Perspective

CAREER: Energy-Efficient Architectures and Their Interaction with Software: A Java Perspective
职业:节能架构及其与软件的交互:Java 视角
批准号:
0093085
负责人:
VIJAYKRISHNAN NARAYANAN
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-08-15 至 2007-08-31

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中文摘要
翻译
这个职业发展计划的目标是双重的。研究开发快速和准确的高级能量估计工具,并将其用于设计新的软件和架构技术,以实现节能的Java执行。此外,研究所亦会致力制订和发展教育计划,为本科生和研究生提供硬件和软件系统相互作用及硬件系统设计的坚实基础。拟议的研究将从整体角度考虑硬件和软件组件,让他们了解如何设计节能系统。 特别是,它将为利用硬件和软件优化的相互作用来降低能耗提供新的见解。本研究的第一部分将专注于开发高级别的能源估计工具,这些工具对于设计节能架构和节能软件组件以支持Java执行至关重要。本研究的第二部分将集中在提供一套建筑技术,以减少能源消耗。本研究的最后一部分将提供设计Java运行时系统的软件组件的技术,以更好地利用底层硬件中存在的任何节能功能。
英文摘要
The goal of this career development plan is two-fold. Research indeveloping fast and accurate high-level energy-estimation tools and their use in designing new software and architectural techniques for energy efficient Java execution. The PI will also concentrate on formulating and developing an educational plan to provide a strong foundation in interaction of hardware and software systems and hardware system design for undergraduate and graduate students.The proposed research will provide an understanding of how to design energy-efficient systems from a holistic viewpoint considering both hardware and software components. In particular, it will provide new insights into exploiting the interaction of hardware and software optimizations in reducing energy consumption. The first part of this research will focus on developing high-level energy estimation tools that are essential for designing the energy-efficient architectures and energy-conscious software components to support Java execution. The second part of this research will focus on providing a set of architectural techniques to reduce the energy consumption. The final part of this research will provide techniques for designing the software components of the Java runtime system to better exploit any energy-saving features present in the underlying hardware.
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会议论文
FuSe-TG: FAB: A Heterogeneous Ferroelectronics Platform for Accelerating Big Data Analytics
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory
EFRI BRAID: Neuroscience Inspired Visual Analytics
SHF: Small: Leveraging Monolithic 3D for Architectural Innovations
国内基金
海外基金
度量测度空间上基于狄氏型和p-energy型的热核理论研究
  • 批准号:
    QN25A010015
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    高晋
  • 依托单位: