Designing Intermediate Representations for Optimization Phd General Exam Report
نویسنده
چکیده
Compilers analyze programs to perform code-improving transformations. Analysis and transformation are carried out on intermediate representations of the program. The particular intermediate representation used has an important impact on what optimizations can be performed eeectively and eeciently. This paper examines the design of intermediate representations as it relates to program optimization. It identiies important themes in the design of intermediate representation such as data and control dependence and the increasing importance of the representation of resource information for the generation of eecient code. Furthermore, the paper identiies design goals for an intermediate representation to support optimization for compilation at run time.
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