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may be an issue. Some CPU designs can perform some optimizations at runtime. The architectural design of a system overwhelmingly affects its performance. Automated and manual optimization edit Main article: Optimizing compiler See also Category:Compiler optimizations Optimization can be automated by compilers or performed by programmers. When the bottleneck is localized, optimization usually starts with a rethinking of the algorithm used in the program. For instance, in the case of compile-level optimization, platform-independent techniques are generic techniques (such as loop unrolling, reduction in function calls, memory efficient routines, reduction in conditions, etc. Another important technique is caching, particularly memoization, which avoids redundant computations. Gains are usually limited for local optimization, and larger for global optimizations. Programs written in D can use the inline assembler. This depends on the source language, the target machine language, and the compiler, and can be both difficult to understand or predict and changes over time; this is a key place where understanding of compilers and machine code can improve performance. Rewriting sections "pays off" in these circumstances because of a general " rule of thumb " known as the 90/10 law, which states that 90 of the time is spent in 10 of the code, and only 10 of the time in the remaining.
Much code written today is intended to run on as many machines as possible. "Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review". When deciding whether to optimize a specific part of the program, Amdahl's Law should always be considered: the impact on the overall program depends very much on how much time is actually spent in that specific part, which is not always clear from looking. Most are compiled down from a high level language to assembly and hand optimized from there.
As a consequence, programmers and compilers don't always take advantage of the code promo zotrima more efficient instructions provided by newer CPUs or quirks of older models. The degree to which performance changes between prototype and production system, and how amenable it is to optimization, can be a significant source of uncertainty and risk. A "fully optimized" program might be more difficult to comprehend and hence may contain more faults than unoptimized versions. Furthermore, increased mutation rate from decreased DNA repair leads to increased inactivation of other tumor suppressors and activation of oncogenes. For example, increasing the size of cache improves runtime performance, but also increases the memory consumption. Fero ML, Randel E, Gurley KE, Roberts JM, Kemp CJ (1998). He recognized that this was consistent with a recessive mutation involving a single gene, but requiring biallelic mutation. A better approach is therefore to design first, code from the design and then profile / benchmark the resulting code to see which parts should be optimized. Retrieved b Knuth, Donald (December 1974). Additionally, C macros do not directly support recursion or iteration, so are not Turing complete.
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