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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.
Potential of Parallelism Problems in the actual world differ in respect of the degree of natural parallelism inherent in the personal problem domain. Some problems may be simpl
Representation scheme in artificial intelligence: It is not hard to see why logic has been popular representation scheme in AI: In this way, It is easy to represent knowl
State the Example of begin end module sequential(); reg a; initial begin $monitor ("‰g a = ‰b", $time, a); #10 a = 0; #11 a = 1; #12 a = 0; #13 a = 1; #
Q. The work function of a metal surface is 6.626 X 10-19 joule. Compute the frequency of the radiation? Work function W = hγ o The fre
Define deadlock? Deadlock is a condition, wherein processes never finish executing and system resources are tied up, preventing another job from beginning. A process requests r
Class is a user-defined data type in C++. It can be formed to solve a particular kind of problem. After creation the user require not know the specifics of the working of a class.
The ISCII is an 8-bit code which contains standard ASCII values till 127 from 128-225 it contains characters necessary in ten Brahmi-based Indian scripts. It is defined in IS 13194
Put an "X" next to any of the following that are RISC CPU characteristics that show diffrence between RISC from CISC a) has limited addressing modes b) used in Motorola 6000 pro
What are the features of ADO.Net ? ADO.NET features: 1. Disconnected Data Architecture 2. Data cached in Datasets 3. Data transfer in XML format 4. Interaction wit
What are the three data anomalise that are likely to occur as a result of data redundancy?
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