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In scalar processors just one instruction is implemented per cycle which means just one instruction is issued for each cycle and only that one instruction is completed however the speed of the processor can be improved in scalar pipeline processor if multiple instructions instead of one are issued for each cycle. This concept of increasing the processor's speed by having numerous instructions for each cycle is termed a Superscalar processing. In this processing numerous instructions are issued for each cycle and numerous results are produced for each cycle. So the fundamental concept of superscalar processor is to have more instruction level parallelism.
Define ROM? It is a non-volatile memory. It includes only reading of stored data.
how to build PVR set-top box using raspberry
What is an expression tree? How an expression is evaluated using an expression tree? Algebraic expressions is as given here a/b+(c-d)e That has an inherent tree-like structure
The use of Information Technology (IT) is well known. IT has turn into a must for survival of all business houses with growing information technology trends. Computer is main compo
There is a pebble merchant. He sells the pebbles, that are used for shining the floor. His main duty is to take the length of the room’s sides. But he sometimes mistakes doing that
Q. What is Cache Memory? Cache memory is a very fast and small memory between CPU and main memory whose access time is closer to processing speed of CPU. It behaves as a high-s
Cathode Ray Tube Technology (CRT) CRT is an analog device that is used by a digital device - computer. The interface between these two devices is described. The major component
What are the differences between struts and units? A warm up question. Units are static objects that exist from the start of the simulation right up to its end, whereas struts
Vector Processing with Pipelining Because in vector processing vector instructions execute the similar computation on various data operands repeatedly, vector processing is the
1. A Bayesian network is shown for the variables paper Thickness, paper Alignment and Print Quality. The conditional probabilities are provided in the tables beside the nodes. Here
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