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5. Machine-Independent Optimizations. ? Optimizations you should do regardless of processor / compiler. Code Motion. ? Reduce frequency with which computation performed. 0 If it will always produce same result. 0 Especially moving code out of loop for (i = 0; i < n; i++) for (j = 0; j < n; j++) a[n*i + j] = b[j]; for (i = 0; i < n;
Intermediate code. • Local optimizations. Compiler Design I (2011). 3. Code Generation Summary. • We have so far discussed. – Runtime organization. – Simple stack machine code generation. – Improvements to stack machine code generation. • Our compiler goes directly from the abstract syntax tree (AST) to assembly
CODE GENERATION AND OPTIMIZATION. COMPILER OPTIMIZATIONS. 0 Optimizing compilers typically. Try to implement language abstractions efficiently. Try to utilize hardware resources efficiently. 0 Different targets may be generated for different compilation goals. Improved code speed. Reduced code size.
19 Sep 2008 Code Optimization. 1. CODE OPTIMIZATION Presented By: Amita das Jayanti bhattacharya Jaistha Upadhyay; 2. Design Of a Compiler Lexical Analysis Syntax Analysis Intermediate Code Generation Code Generation Code Optimization Table Mgmt Routine Error Handling Routine Source code Object
5 –. Datorarkitektur 2006. Machine-Independent Optimizations. Optimizations you should do regardless of processor / compiler. Code Motion. Reduce frequency with which computation performed. If it will always produce same result. Especially moving code out of loop for (i = 0; i < n; i++) for (j = 0; j < n; j++) a[n*i + j] = b[j];.
TDDB44 Compiler Construction. Code Optimization. Peter Fritzson, Christoph Kessler,. IDA, Linkopings universitet, 2011. Code Optimization – Overview. Intermediate. Source-to-source compiler/optimizer. IR-level optimizations target-level optimizations. Emit asm. Goal: Faster code and/or smaller code and/or low energy
Time of application: An ideal optimizing compiler structure: "Better". IR. Scanner Machine code. ?. Source language optimizations: target independent. ?. Intermediate code generation: majority of machine independent optimizations performed here. ?. Final code Impact of language design on code quality. Positive
Optimization is a program transformation technique, which tries to improve the code by making it consume less resources i. e. CPU, Memory and deliver high speed. In optimization, high-level general programming constructs are replaced by very efficient low-level programming codes. A code optimizing process must follow
independent: e.g. dead code elimination, code motion. • dependent: e.g. latency hiding; managing bounded machine ressources like registers, functional units, caches. Compiler Design, WS 2005/2006. 164. Taxonomy of Optimizations. Which kind of information? • static properties of program. • runtime information: feedback
Compiler Optimization and Code Generation. Lecture - 1. Developed By: Vazgen Melikyan. 1. Compiler Optimization and. Code Generation. Professor: Sc.D., Professor. Vazgen 1 lecture. ? Intermediate-Code Generation. ? 2 lectures. ? Machine-Independent Optimizations. ? 3 lectures. ? Code Generation. ? 2 lectures
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