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We know that all processors share a common memory in shared memory model. Every processor, however, can be assigned a different part of the program stored in the memory to implement with the data stored in specified locations. Every processor does computation independently with the data allocated to them by the controlling program, called the main program. After completion their computations, all of these processors join the main program. The main program complete only after all child processes have been terminated completely. There are many alternatives to execute these ideas through high level programming. Some of them are:
i) Using heavy weight processes.
ii) Using threads.( e.g. Pthreads).
iii) Using a completely new programming language for parallel programming (e.g. Ada)
iv) Using library routines with an existing sequential programming language.
v) Modifying the syntax of an existing sequential programming language to produce a parallel programming language (e.g. UPC).
vi) Using an existing sequential programming language improves with the compiler directives for specifying parallelism (e.g. OpenMP).
We shall adopt the final alternative. We shall also give an introduction to the shared programming using library routines with an existing sequential programming language.
Large data packets result in fewer load because a smaller part of the packet is used for header information. Optimum networks use 4kB data packets or larger. Large data packets
Q. Explain about Flow Control? - Signifies to ask the transmitter to stop/resume sending in data - Required when DTE to DCE speed > DCE to DCE speed - (Exampl
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Q Illustrate Unipolar line coding? - Simplest method is inexpensive - Utilizes only one voltage level - Polarity is habitually assigned to binary 1 a 0 is represented by
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