'Loop invariant code motion' diaporamas de présentation

Partial Redundancy Elimination

Partial Redundancy Elimination. The material in these slides have been taken from the slides "Lazy Code Motion" 2011, by Keith D. Cooper & Linda Torczon . The running example was taken from the Dragon Book, 3 rd Edition, Section 9.5. Partial Redundancy Elimination.

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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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An Overview on Static Program Analysis

An Overview on Static Program Analysis. Instructor: Mooly Sagiv http://www.cs.tau.ac.il/~msagiv/courses/pa05.html Tel Aviv University 640-6706 TA: Noam Rinetzky 640-5358 http://www.cs.tau.ac.il/~maon Reference Book: Principles of Program Analysis F. Nielson, H. Nielson, C.L. Hankin

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Advanced Python I

Advanced Python I. by Raymond Hettinger @ raymondh. Files used in this tutorial. http:// dl.dropbox.com /u/3967849/ advpython.zip Or in shortened form: http :// bit.ly / fboKwT. w hoami id -un. PSF board member Python core developer since 2001

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Case Studies of Compilers and Future Trends Chapter 21

Case Studies of Compilers and Future Trends Chapter 21. Mooly Sagiv. Goals. Learn on exiting compilers Which of the studied subjects implemented Mention techniques not studied Future trends (textbook) Other trends Techniques used in optimizing compilers Have some fun. Compilers Studied.

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Computer Architecture & Organization

Computer Architecture & Organization. Assemblers and Compilers Engr. Umbreen Sabir Computer Engineering Department, University of Engg. & Technology Taxila. Path from Programs to Bits. C OMPILERS.

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Program Representations

Program Representations. Representing programs. Goals. Representing programs. Primary goals analysis is easy and effective just a few cases to handle directly link related things transformations are easy to perform general, across input languages and target machines Additional goals

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Piazza

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Tour of common optimizations

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Partial Redundancy Elimination & Lazy Code Motion

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Lecture 29: Control Flow Analysis 9 Apr 07

CS412/413. Introduction to Compilers Tim Teitelbaum. Lecture 29: Control Flow Analysis 9 Apr 07. Program Loops. Loop = a computation repeatedly executed until a terminating condition is reached High-level loop constructs: While loop: while(E) S Do-while loop: do S while(E)

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CS 201 Compiler Construction

CS 201 Compiler Construction. Lecture 7 Code Optimizations: Partial Redundancy Elimination. Redundancy Elimination. The goal of redundancy elimination is to eliminate unnecessary reevaluations of the same computation. Global Common Sub-expression Elimination Loop Invariant Code Motion

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Code Optimization Circa 1969

Code Optimization Circa 1969. Flow Graphs Constant Folding Global Common Subexpressions Induction Variables/Reduction in Strength. Jeffrey D. Ullman Stanford University. Dawn of Code Optimization. A never-published Stanford technical report by Fran Allen in 1968 .

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Program Performance through Compiler Optimization Techniques

Program Performance through Compiler Optimization Techniques. Compiler Optimization. It is the process of improving the output of the compiler To minimize execution time of the program By removing repeated computation To minimize amount of memory occupied by the program

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Advanced Compilers CMPSCI 710 Spring 2003 Basic Loop Optimizations

Advanced Compilers CMPSCI 710 Spring 2003 Basic Loop Optimizations. Emery Berger University of Massachusetts, Amherst. Topics. Last time Optimizations using SSA form Constant propagation & dead code elimination Loop invariant code motion This time Loop optimizations Induction variable

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