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The run-time for a battery-operated UPS depends on the type and size of batteries and rate of discharge, and the efficiency of the inverter. The total capacity of a lead–acid battery is a function of the rate at which it is discharged, which is described as Peukert's law. Manufacturers supply run-time rating in minutes for packaged UPS systems.
Speedup in latency is defined by the following formula: [2] = =, where S latency is the speedup in latency of the architecture 2 with respect to the architecture 1; L 1 is the latency of the architecture 1; L 2 is the latency of the architecture 2.
In computer science, a lookup table (LUT) is an array that replaces runtime computation with a simpler array indexing operation, in a process termed as direct addressing.The savings in processing time can be significant, because retrieving a value from memory is often faster than carrying out an "expensive" computation or input/output operation. [1]
In computer architecture, Amdahl's law (or Amdahl's argument [1]) is a formula that shows how much faster a task can be completed when you add more resources to the system. The law can be stated as: "the overall performance improvement gained by optimizing a single part of a system is limited by the fraction of time that the improved part is ...
In software engineering, overhead can influence the decision whether or not to include features in new products, or indeed whether to fix bugs.A feature that has a high overhead may not be included – or needs a big financial incentive to do so.
APR—Apache Portable Runtime; ARC—Adaptive Replacement Cache; ARC—Advanced RISC Computing; ARIN—American Registry for Internet Numbers; ARM—Advanced RISC Machines; AROS—AROS Research Operating System; ARP—Address Resolution Protocol; ARPA—Address and Routing Parameter Area; ARPA—Advanced Research Projects Agency
Here's perhaps the most obvious reason Die Hard is definitively a Christmas film: It's set at Christmastime, and that element is integral—creatively and humorously—throughout its 132-minute ...
Graphs of functions commonly used in the analysis of algorithms, showing the number of operations N as the result of input size n for each 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.