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Global data flow analysis - PowerPoint PPT Presentation

Lecture 11: Code Optimization

Lecture 11: Code Optimization

Lecture 11: Code Optimization. CS 540 George Mason University. Code Optimization. REQUIREMENTS: Meaning must be preserved (correctness) Speedup must occur on average. Work done must be worth the effort. OPPORTUNITIES: Programmer (algorithm, directives) Intermediate code Target code .

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919 views • 58 slides
Seminar Series

Seminar Series

Seminar Series. Static and Dynamic Compiler Optimizations (6/28). Speculative Compiler Optimizations (7/05) ADORE: An Adaptive Object Code ReOptimization System (7/19) Current Trends in CMP/CMT Processors (7/26) Static and Dynamic Helper Thread Prefetching (8/02)

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720 views • 50 slides
Introduction to Data Flow Analysis

Introduction to Data Flow Analysis

Introduction to Data Flow Analysis. Data Flow Analysis. Construct representations for the structure of flow-of-data of programs based on the structure of flow-of-control of programs

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528 views • 40 slides
Optimizing compiler . Interpocedural optimizations .

Optimizing compiler . Interpocedural optimizations .

Optimizing compiler . Interpocedural optimizations. Interprocedural optimization. How to combine the good programming style and speed requirements for the application? Good programming style assumes: Modularity. Readability and the code re-usage. Implementation property encapsulation

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606 views • 30 slides
Data flow analysis

Data flow analysis

Data flow analysis. Goal : collect information about how a procedure manipulates its data This information is used in various optimizations For example, knowledge about what expressions are available at some point helps in common subexpression elimination. IMPORTANT!

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1.59k views • 28 slides
Data flow analysis

Data flow analysis

Data flow analysis. Goal : collect information about how a procedure manipulates its data This information is used in various optimizations For example, knowledge about what expressions are available at some point helps in common subexpression elimination. IMPORTANT!

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382 views • 24 slides
Data flow analysis

Data flow analysis

Data flow analysis. Goal : collect information about how a procedure manipulates its data This information is used in various optimizations For example, knowledge about what expressions are available at some point helps in common subexpression elimination. IMPORTANT!

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289 views • 24 slides

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