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CAREER: Scalable Compiler Optimizations for New Software

CAREER: Scalable Compiler Optimizations for New Software
职业:新软件的可扩展编译器优化
批准号:
0243657
负责人:
Rastislav Bodik
金额:
$24.15万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-08-01 至 2007-05-31

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中文摘要
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英文摘要
The goal of this research program is to develop compiler optimization technology for emerging software applications. Compared to the current state-of-the-practice, the new software applications will be written in type-safe languages (e.g., Java), will contain millions of lines of code, will often be built from components distributed across multiple machines, and will run on processors that will have multiple threads of control, but will take hundreds of cycles to access the main memory. Modern software will require modern optimizations that will need to be scalable in three ways: with the size of the program, with the number of distributed components, and with the growing memory latency. This research proposes to achieve scalability by exploiting radically novel forms of speculation, profiling, demand-driven analysis, run-time checks, and hardware support. To develop these technologies, three specific efforts will be undertaken: elimination of array-bounds checks, demand-driven pointer analysis, and prefetching for pointer-based data structures.
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Collaborative Research: FMitF: Track I: End-usser Programming for CAD Systems via Language Design and Synthesis
  • 批准号:
    2219864
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2022
  • 负责人:
    Rastislav Bodik
  • 依托单位:
FMitF: Track I: End-User Programming with Synthesis-Guided Interaction Models
  • 批准号:
    2122950
  • 项目类别:
    Standard Grant
  • 资助金额:
    $74.97万
  • 财政年份:
    2021
  • 负责人:
    Rastislav Bodik
  • 依托单位:
RAPID: Collecting Reliable COVID-19 Datasets in Crisis Conditions
  • 批准号:
    2029457
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.0万
  • 财政年份:
    2020
  • 负责人:
    Rastislav Bodik
  • 依托单位:
FMitF: Track II: Programming by Demonstration for the Browser with Applications in Data Science
  • 批准号:
    1918027
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.89万
  • 财政年份:
    2019
  • 负责人:
    Rastislav Bodik
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis