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Vector Processing with Pipelining
Because in vector processing vector instructions execute the similar computation on various data operands repeatedly, vector processing is the most appropriate for pipelining. Vector processors with pipelines are intended to handle vectors of varying length 'n' where n is length of vector. A vector processor executes better if length of vector is larger however large values of n cause the problem in storage of vectors in addition there is complexity in moving the vectors from and to the pipelines.
A class is made abstract by declaring one or more of its virtual functions to be pure. A pure virtual function is one with an initializer of = 0 in its declaration
All digital devices are made from circuits whichcan be switched between two possible states.These two states are represented by a voltagelevel at the output of the circuit e.g. 0V
Memory utilization factor shall be computed as? Ans. memory in use/total memory connected.
Describe functions of data flow diagram After you have roughly designed data flow diagram, you could write a description of each function and you could describe the function i
How are interrupt handled by the operating system? The fundamental interrupt mechanism works as follows: The CPU hardware has wire called the interrupt-request line which
BIOS - Basic Input Output System, Power On Self Test (POST) and Loading Bootloader from the Hard disk drive Boot Sector is being completed by BIOS. It started the system for
We are planning an orienteering game. The aim of this game is to arrive at the goal (G) from the start (S) with the shortest distance. However, the players have to pass all the che
Q. Can a vector have a component equivalent to zero and still have a nonzero magnitude? Answer:- Yes For example the 2-dimensional vector (1, 0) has length sqrt (1+0) = 1
The output of a JK flipflop with asynchronous preset and clear inputs is '1'. The output can be changed to '0' with which conditions ? Ans. Through applying J = 1, K = 1 and u
Binary codes exist for any fundamental representation. Binary codes can be created for any set of discrete elements for example colors, spectrum, musical notes, chessboard position
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