Editing Program optimization (section)

===Platform dependent and independent optimizations===
Code optimization can be also broadly categorized as [[computer platform|platform]]-dependent and platform-independent techniques. While the latter ones are effective on most or all platforms, platform-dependent techniques use specific properties of one platform, or rely on parameters depending on the single platform or even on the single processor. Writing or producing different versions of the same code for different processors might therefore be needed. For instance, in the case of compile-level optimization, platform-independent techniques are generic techniques (such as [[loop unwinding|loop unrolling]], reduction in function calls, memory efficient routines, reduction in conditions, etc.), that impact most CPU architectures in a similar way. A great example of platform-independent optimization has been shown with inner for loop, where it was observed that a loop with an inner for loop performs more computations per unit time than a loop without it or one with an inner while loop.<ref>{{Cite journal|last=Adewumi|first=Tosin P.|date=2018-08-01|title=Inner loop program construct: A faster way for program execution|journal=Open Computer Science|language=en|volume=8|issue=1|pages=115–122|doi=10.1515/comp-2018-0004|doi-access=free}}</ref> Generally, these serve to reduce the total [[instruction path length]] required to complete the program and/or reduce total memory usage during the process. On the other hand, platform-dependent techniques involve instruction scheduling, [[instruction-level parallelism]], data-level parallelism, cache optimization techniques (i.e., parameters that differ among various platforms) and the optimal instruction scheduling might be different even on different processors of the same architecture.