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  2. Amdahl's law - Wikipedia

    en.wikipedia.org/wiki/Amdahl's_law

    For instance, if a programmer enhances a part of the code that represents 10% of the total execution time (i.e. of 0.10) and achieves a of 10,000, then becomes 1.11 which means only 11% improvement in total speedup of the program. So, despite a massive improvement in one section, the overall benefit is quite small.

  3. Speedup - Wikipedia

    en.wikipedia.org/wiki/Speedup

    First, we execute the program with the standard branch predictor on the processor, which yields an execution time of 2.25 seconds. Next, we execute the program with our modified (and hopefully improved) branch predictor on the same processor, which produces an execution time of 1.50 seconds. In both cases the execution workload is the same.

  4. Worst-case execution time - Wikipedia

    en.wikipedia.org/wiki/Worst-case_execution_time

    These markers result in a trace of execution, which includes both the path taken through the program and the time at which different points were executed. The trace is then analyzed to determine the maximum time that each part of the program has ever taken to execute, what the maximum observed iteration time of each loop is and whether there ...

  5. Program optimization - Wikipedia

    en.wikipedia.org/wiki/Program_optimization

    Optimization typically focuses on improving a system with respect to a specific quality metric rather than making it universally optimal. This often leads to trade-offs, where enhancing one metric may come at the expense of another. One popular example is space-time tradeoff, reducing a program’s execution time by increasing its memory ...

  6. PHP - Wikipedia

    en.wikipedia.org/wiki/PHP

    In order to speed up execution time and not have to compile the PHP source code every time the web page is accessed, PHP scripts can also be deployed in the PHP engine's internal format by using an opcode cache, which works by caching the compiled form of a PHP script (opcodes) in shared memory to avoid the overhead of parsing and compiling the ...

  7. Gustafson's law - Wikipedia

    en.wikipedia.org/wiki/Gustafson's_law

    Gustafson's law argues that a fourfold increase in computing power would instead lead to a similar increase in expectations of what the system will be capable of. If the one-minute load time is acceptable to most users, then that is a starting point from which to increase the features and functions of the system.

  8. Tracing just-in-time compilation - Wikipedia

    en.wikipedia.org/wiki/Tracing_just-in-time...

    The guard is a quick check to determine whether the original condition is still true. If a guard fails, the execution of the trace is aborted. Since tracing is done during execution, the trace can be made to contain runtime information (e.g. type information). This information can later be used in the optimization phase to increase code efficiency.

  9. Aging (scheduling) - Wikipedia

    en.wikipedia.org/wiki/Aging_(scheduling)

    Aging is used to ensure that jobs with lower priority will eventually complete their execution. This technique can be used to reduce starvation of low priority tasks. [2] There are many ways to implement aging, but all have the same principle that the priority of a process should increase as it waits in the ready queue.