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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 ...
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.
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The address is checked against the contents of the bounds register to prevent a process from accessing memory beyond its assigned segment. The operating system is not constrained by the hardware and can access all of physical memory. This technique protects memory used by one process against access or modification by another.
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It differs from a memory-bound function, which incurs cost by slowing down computation through memory latency. [2] MHFs have found use in key stretching and proof of work as their increased memory requirements significantly reduce the computational efficiency advantage of custom hardware over general-purpose hardware compared to non-MHFs. [3] [1]
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