'Code motion' presentation slideshows

IAR Embedded Workbench for ARM Ryan Sheng I AR Systems AB, Shanghai 2005- 10-17

IAR Embedded Workbench for ARM Ryan Sheng I AR Systems AB, Shanghai 2005- 10-17. Outline. IAR Introduction EWARM v4.30 Overview Controlling Compiler Optimization Extended Compiler Features Segments and Memories Runtime Library C-SPY Debugger Systems. IAR Introduction. IAR Systems.

1.17k views • 84 slides

Course project presentations

Course project presentations. Midterm project presentation Originally scheduled for Tuesday Nov 4 th Can move to Th Nov 6 th or Th Nov 13 th. From last time: Loop-invariant code motion. Two steps: analysis and transformations Step1: find invariant computations in loop

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Program Optimization

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Program Optimization 15- 213: Introduction to Computer Systems 25 th Lecture, Nov. 23, 2010

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CALLING-CONVENTION-AWARE GLOBAL REGISTER ALLOCATION

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Instructor: Erol Sahin

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Chapter 5.6-5.9

Program Optimization: Measurement/Loops/Parallelism CSCi 2021: Computer Architecture and Organization. Chapter 5.6-5.9. Today. Measure performance Loops Exploiting Instruction-Level Parallelism Exam. Last Time. Program optimization Code motion Memory aliasing Procedure calls.

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Lecture #11, May 10, 2007

Lecture #11, May 10, 2007. More optimizations (local, loop, global) Liveness Analysis, Spilling, Problems with Jumps, Ranges, Intervals, Linear Scan register allocation. More Optimizations. Local Optimizations Constant Folding Constant Propagation Copy Propagation

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Example in SSA

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Compiling for IA-64

Compiling for IA-64. Carol Thompson Optimization Architect Hewlett Packard. CISC era: no significant ILP Compiler is merely a tool to enable use of high-level language, at some performance cost RISC era: advent of ILP Compiler-influenced architecture

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Alias Speculation using Atomic Regions

Alias Speculation using Atomic Regions. (To appear at ASPLOS 2013) Wonsun Ahn*, Yuelu Duan, Josep Torrellas University of Illinois at Urbana Champaign. Disclaimer. This talk is not about parallelism.

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Partial Redundancy Elimination & Lazy Code Motion

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Compilation in More Detail

Principles of Programming Languages. Compilation in More Detail. Asst. Prof. Dr. Ahmet Sayar Spring-2012 Kocaeli University Computer Engineering Department. Phases of Compilation. The Structure of a Compiler. Lexical Analysis Parsing Semantic Analysis Symbol Table Optimization

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CS 201 Compiler Construction

CS 201 Compiler Construction. 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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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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The IA-64 architecture and Itanium processors Explicitly Parallel Instruction Computing

The IA-64 architecture and Itanium processors Explicitly Parallel Instruction Computing. Frans Dondorp Presentation et 4 074, January 8 th 2001. Contents. ? Introduction to the IA-64 architecture and EPIC. ? The Itanium ? processor. ? Branch removal. ? Predication.

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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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Chapter 9 Conclusion

Chapter 9 Conclusion. Course Overview. PART I: overview material 1 Introduction (today) 2 Language Processors (basic terminology, tombstone diagrams, bootstrapping) 3 The architecture of a Compiler PART II: inside a compiler 4 Syntax Analysis 5 Contextual analysis 6 Runtime organization

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Loop Invariant Computation and Code Motion

Loop Invariant Computation and Code Motion. Loop-invariant computation Algorithms for code motion Summary: 13.1.2 (global CSE), 13.2. Loop-Invariant Computation and Code Motion. Loop invariant computation A computation whose value does not change as long as control stays within the loop

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