From: scs@eskimo.com (Steve Summit) Newsgroups: comp.lang.c, comp.lang.c.moderated Subject: comp.lang.c Answers to Frequently Asked Questions (FAQ list) URL: http://www.eskimo.com/~scs/C-faq/top.html 20.13: What's the best way of making my program efficient? A: By picking good algorithms, implementing them carefully, and making sure that your program isn't doing any extra work. For example, the most microoptimized character-copying loop in the world will be beat by code which avoids having to copy characters at all. When worrying about efficiency, it's important to keep several things in perspective. First of all, although efficiency is an enormously popular topic, it is not always as important as people tend to think it is. Most of the code in most programs is not time-critical. When code is not time-critical, it is usually more important that it be written clearly and portably than that it be written maximally efficiently. (Remember that computers are very, very fast, and that seemingly "inefficient" code may be quite efficiently compilable, and run without apparent delay.) It is notoriously difficult to predict what the "hot spots" in a program will be. When efficiency is a concern, it is important to use profiling software to determine which parts of the program deserve attention. Often, actual computation time is swamped by peripheral tasks such as I/O and memory allocation, which can be sped up by using buffering and caching techniques. Even for code that *is* time-critical, one of the least effective optimization techniques is to fuss with the coding details. Many of the "efficient coding tricks" which are frequently suggested (e.g. substituting shift operators for multiplication by powers of two) are performed automatically by even simpleminded compilers. Heavyhanded optimization attempts can make code so bulky that performance is actually degraded, and are rarely portable (i.e. they may speed things up on one machine but slow them down on another). In any case, tweaking the coding usually results in at best linear performance improvements; the big payoffs are in better algorithms. For more discussion of efficiency tradeoffs, as well as good advice on how to improve efficiency when it is important, see chapter 7 of Kernighan and Plauger's _The Elements of Programming Style_, and Jon Bentley's _Writing Efficient Programs_.