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CAREER: Design Virtualization for Mainstream Programming of Reconfigurable Computers

CAREER: Design Virtualization for Mainstream Programming of Reconfigurable Computers
职业:可重构计算机主流编程的设计虚拟化
批准号:
1149285
负责人:
Greg Stitt
金额:
$45.0万
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
项目状态:
已结题
起止时间:
2012-02-01 至 2019-07-31

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中文摘要
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英文摘要
Although reconfigurable computing (RC) devices have been widely shown to have significant performance and power advantages compared to other computing devices, mainstream usage of such devices has been resisted due to increased application design complexity caused by non-mainstream high-level synthesis, complex low-level debugging, lengthy compilation times often requiring hours or days, a lack of code portability, prohibitive device costs, among other challenges. To address these problems, this study introduces RC virtualization to reduce the semantic gap between high-level applications and physical RC devices with hundreds of thousands of fine-grained resources. Whereas physical RC devices must be fine grained for flexibility and cost effectiveness, the proposed virtual RC devices, which are implemented atop such physical devices, can be specialized to the needs of different application domains to hide physical device complexity. As a result, the proposed virtualization enables rapid RC compilation that can complete in seconds as opposed to hours. Rapid RC compilation in turn enables mainstream design methodologies for debugging. Virtualization also enables application portability across physical RC devices, similar to how virtual machines achieve portable software code, in addition to tool portability that enables third-party tools to target any RC system. Finally, by combining virtualization with high-level synthesis from standardized parallel languages for heterogeneous accelerators (e.g., OpenCL), this study enables mainstream RC usage by enabling the design flow used by other mainstream computing devices.
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DOI: 10.1145/3391899
发表时间: 2020
期刊: ACM Transactions on Embedded Computing Systems
影响因子: 2
作者: [Stitt, Greg, Campbell, David]
通讯作者: Campbell, David
SHF: Small: Enabling New Machine-Learning Usage Scenarios with Software-Defined Hardware for Symbolic Regression
  • 批准号:
    1909244
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.95万
  • 财政年份:
    2019
  • 负责人:
    Greg Stitt
  • 依托单位:
CSR: Small: Elastic Computing - An Enabling Technology for Transparent, Portable, and Adaptive Multi-Core Heterogeneous Computing
  • 批准号:
    0914474
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.54万
  • 财政年份:
    2009
  • 负责人:
    Greg Stitt
  • 依托单位:
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  • 资助金额:
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  • 负责人:
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  • 资助金额:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2021
  • 负责人:
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