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26. Code-Tuning Techniques
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for embedded systems, real-time systems, and other systems with strict speed or space restrictions can still benefit from this information. The need to measure the impact of each and every attempt at code tuning has been a constant since Donald Knuth published his study of Fortran programs in 1971. According to the measurements in this chapter, the effect of any specific optimization is actually less predictable than it was 10 years ago. The effect of each code tuning is affected by the programming language, compiler, compiler version, code libraries, library versions, and compiler settings, among other things. Code tuning invariably involves tradeoffs among complexity, readability, simplicity, and maintainability on the one hand and a desire to improve performance on the other. It introduces a high degree of maintenance overhead because of all the reprofiling that s required. I have found that insisting on measurable improvement is a good way to resist the temptation to optimize prematurely and to enforce a bias toward clear, straightforward code. If an optimization is important enough to haul out the profiler and measure the optimization s effect, then it s probably important enough to allow as long as it works. But if an optimization isn t important enough to haul out the profiling machinery, then it isn t important enough to degrade readability, maintainability, and other code characteristics. The impact of unmeasured code tuning on performance is speculative at best, whereas the impact on readability is as certain as it is detrimental.
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My favorite reference on code tuning is Writing Efficient Programs (Bentley, Englewood Cliffs, N.J.: Prentice Hall, 1982). The book is out of print, but worth reading if you can find it. It s an expert treatment of code tuning, broadly considered. Bentley describes techniques that trade time for space and space for time. He provides several examples of redesigning data types to reduce both space and time. His approach is a little more anecdotal than the one taken here, and his anecdotes are interesting. He takes a few routines through several optimization steps so that you can see the effects of first, second, and third attempts on a single problem. Bentley strolls through the primary contents of the book in 135 pages. The book has an unusually high signal-to-noise ratio it s one of the rare gems that every practicing programmer should own. Appendix 4 of Bentley s Programming Pearls, 2d Ed. (2000), contains a summary of the code tuning rules from his earlier book.
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You can also find a full array of technology-specific optimization books. Several are listed below, and the web link to the left contains an up-to-date list. Booth, Rick. Inner Loops : A Sourcebook for Fast 32-bit Software Development, Boston, Mass.: Addison Wesley, 1997. Gerber, Richard. Software Optimization Cookbook: High-Performance Recipes for the Intel Architecture, Intel Press, 2002. Hasan, Jeffrey and Kenneth Tu. Performance Tuning and Optimizing ASP.NET Applications, Apress, 2003. Killelea, Patrick. Web Performance Tuning, 2d Ed, O Reilly & Associates, 2002. Larman, Craig and Rhett Guthrie. Java 2 Performance and Idiom Guide, Englewood Cliffs, N.J.: Prentice Hall, 2000. Shirazi, Jack. Java Performance Tuning, O Reilly & Associates, 2000. Wilson, Steve and Jeff Kesselman. Java Platform Performance: Strategies and Tactics, Boston, Mass.: Addison Wesley, 2000.
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Key Points
Results of optimizations vary widely with different languages, compilers, and environments. Without measuring each specific optimization, you ll have no idea whether it will help or hurt your program. The first optimization is often not the best. Even after you find a good one, keep looking for one that s better. Code tuning is a little like nuclear energy. It s a controversial, emotional topic. Some people think it s so detrimental to reliability and maintainability that they won t do it at all. Others think that with proper safeguards, it s beneficial. If you decide to use the techniques in this chapter, apply them with care.
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