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The message queue provides the information about sizes of queues under utilization of various processors. It points to size of every processor incoming message queue that would be varying depending on messages being received, sent or buffered as displayed in Figure. It should be noted that each processor will be having a limit on maximum length of its queue. This display majorly helps in analyzing whether communication is congestion free or not.
Figure: Message Queues
Let's attempt to answer a fundamental question: 'How does the Computer execute a Program?' Let's describe this with the help of an example from higher level language domain. Pr
Q. Make a generalize program that performs r-ary subtraction on two numbers using (r-1)'s and r's complement? Use input and output files.
Consider a network message transfer among a source S and a destination D by 3 routers R1, R2 and R3 as given below:- S -------- R1 --------- R2 --------- R3 ---
Q. Why we need linker? The linker: Joins assembled module in one executable program, Produces an .EXE module and initializes with special instructions to facilitate
Q. Show Matrix Multiplication Problem? Let there be 2 matrices M1 and M2 of sizes a x b and b x c correspondingly. If we multiply M1 and M2 product matrix O will be of size a x
What is meant by Questionnaires This includes sending out questionnaires to the work force or/and to customers to find out their views of existing system and to find out how.
Micro-Operations A micro-operation is an basic operation which is performed on data stored in registers. We can classify micro-operations into four categories: 1. Register t
Define Word/byte rotation and XOR bit masking encryption technique to make sure secured transactions on the net? Word/byte rotation and XOR bit masking: In this process t
Write the Add/subtract rule for floating point numbers. Ans: a. Select the number with the smaller exponent and shift its mantissa right a number of steps equal to the differe
Question 1: Explain in detail the characteristics of the following artificial neural networks. (a) Recurrent Neural Networks. (b) Self-organising Mapping Neural Networks.
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