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Delta time or delta timing is a concept used amongst programmers in relation to hardware and network responsiveness. [1] In graphics programming, the term is usually used for variably updating scenery based on the elapsed time since the game last updated, [2] (i.e. the previous "frame") which will vary depending on the speed of the computer, and how much work needs to be done in the program at ...
Its only purpose is to measure execution time (flat profiling), and to do this interactively from the debug console (i.e. on a single function). As it is said several times in this text; the timing is not accurate and it should only be used as a coarse measure of the approximate run time and load of a function.
In theoretical computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly estimated by counting the number of elementary operations performed by the algorithm, supposing that each elementary operation takes a fixed amount of time to ...
Minimizing the depth/span is important in designing parallel algorithms, because the depth/span determines the shortest possible execution time. [8] Alternatively, the span can be defined as the time T ∞ spent computing using an idealized machine with an infinite number of processors. [9] The cost of the computation is the quantity pT p. This ...
This change to lazy evaluation saves execution time for large ranges which may never be fully referenced and memory usage for large ranges where only one or a few elements are needed at any time. In Python 2.x is possible to use a function called xrange() which returns an object that generates the numbers in the range on demand.
T is the execution time of the task; W is the execution workload of the task. Throughput of an architecture is the execution rate of a task: = = =, where ρ is the execution density (e.g., the number of stages in an instruction pipeline for a pipelined architecture);
The worst-case execution time (WCET) of a computational task is the maximum length of time the task could take to execute on a specific hardware platform.
Shortest job next (SJN), also known as shortest job first (SJF) or shortest process next (SPN), is a scheduling policy that selects for execution the waiting process with the smallest execution time. [1] SJN is a non-preemptive algorithm. Shortest remaining time is a preemptive variant of SJN.