Compiler optimization | Wikipedia audio article

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Optimizing_compiler


00:01:50 1 Types of optimization
00:10:11 2 Factors affecting optimization
00:18:04 3 Common themes
00:21:27 4 Specific techniques
00:21:37 4.1 Loop optimizations
00:28:19 4.2 Data-flow optimizations
00:30:21 4.3 SSA-based optimizations
00:31:59 4.4 Code generator optimizations
00:35:44 4.5 Functional language optimizations
00:37:23 4.6 Other optimizations
00:42:47 4.7 Interprocedural optimizations
00:44:44 5 Problems with optimization
00:50:41 6 History
00:51:46 7 List of static code analyses
00:52:31 8 See also



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SUMMARY
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In computing, an optimizing compiler is a compiler that tries to minimize or maximize some attributes of an executable computer program. The most common requirement is to minimize the time taken to execute a program; a less common one is to minimize the amount of memory occupied. The growth of portable computers has created a market for minimizing the power consumed by a program.
Compiler optimization is generally implemented using a sequence of optimizing transformations, algorithms which take a program and transform it to produce a semantically equivalent output program that uses fewer resources. It has been shown that some code optimization problems are NP-complete, or even undecidable. In practice, factors such as the programmer's willingness to wait for the compiler to complete its task place upper limits on the optimizations that a compiler implementor might provide. (Optimization is generally a very CPU- and memory-intensive process.) In the past, computer memory limitations were also a major factor in limiting which optimizations could be performed. Because of all these factors, optimization rarely produces "optimal" output in any sense, and in fact an "optimization" may impede performance in some cases; rather, they are heuristic methods for improving resource usage in typical programs.