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High Performance Computing by Parallel Processing

Parallel processing, the method of having many small tasks solve one large problem, has emerged as a key enabling technology in modern computing. In the recent years the number of transistors in the microprocessors and other hardware components have been drastically increasing which has proven remarkably astute, but on the other hand the cost of building such ?high ? end? machineries has also increased. Thus parallel processing is largely adopted for building both for high-performance scientific computing and for more ``general-purpose'' applications, which demand for higher performance, lower cost, and sustained productivity.
There are many ways in achieving parallel processing, the one most economic and highly feasible is implemented through ?Distributed Computing ?.
In the simplest sense, it is the simultaneous use of multiple compute resources to solve a computational problem:
? To be run using multiple CPUs
? A problem is broken into discrete parts that can be solved concurrently
? Each part is further broken down to a series of instructions
? Instructions from each part execute simultaneously on different CPUs.

By assigning every CPU a concurrent part of the problem the execution is incredibly fast, which is proven by

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