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  2. Sun–Ni law - Wikipedia

    en.wikipedia.org/wiki/Sun–Ni_law

    Yet as memory access latency often becomes the dominant factor in an application’s execution time, [5] applications may not scale up to meet the time bound constraint. [ 1 ] [ 2 ] The Sun–Ni law, instead of constraining the problem size by time, constrains the problem by the memory capacity of the system, or in other words bounds based on ...

  3. Memory-bound function - Wikipedia

    en.wikipedia.org/wiki/Memory-bound_function

    Memory bound refers to a situation in which the time to complete a given computational problem is decided primarily by the amount of free memory required to hold the working data. This is in contrast to algorithms that are compute-bound , where the number of elementary computation steps is the deciding factor.

  4. SMA* - Wikipedia

    en.wikipedia.org/wiki/SMA*

    function simple memory bounded A *-star (problem): path queue: set of nodes, ordered by f-cost; begin queue. insert (problem. root-node); while True do begin if queue. empty then return failure; //there is no solution that fits in the given memory node:= queue. begin (); // min-f-cost-node if problem. is-goal (node) then return success; s:= next-successor (node) if! problem. is-goal (s ...

  5. Roofline model - Wikipedia

    en.wikipedia.org/wiki/Roofline_model

    The resultant curve is effectively a performance bound under which kernel or application performance exists, and includes two platform-specific performance ceilings [clarification needed]: a ceiling derived from the memory bandwidth and one derived from the processor's peak performance (see figure on the right).

  6. Landauer's principle - Wikipedia

    en.wikipedia.org/wiki/Landauer's_principle

    Landauer's principle is a physical principle pertaining to a lower theoretical limit of energy consumption of computation.It holds that an irreversible change in information stored in a computer, such as merging two computational paths, dissipates a minimum amount of heat to its surroundings. [1]

  7. Memory-hard function - Wikipedia

    en.wikipedia.org/wiki/Memory-hard_function

    In cryptography, a memory-hard function (MHF) is a function that costs a significant amount of memory to efficiently evaluate. [1] It differs from a memory-bound function , which incurs cost by slowing down computation through memory latency. [ 2 ]

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  9. Amdahl's law - Wikipedia

    en.wikipedia.org/wiki/Amdahl's_law

    An example is a computer program that processes files. A part of that program may scan the directory of the disk and create a list of files internally in memory. After that, another part of the program passes each file to a separate thread for processing. The part that scans the directory and creates the file list cannot be sped up on a ...