In terms of disproportionality, Parallel systems usually give results which fall somewhere between pure plurality/majority and pure PR systems. One advantage is that, when there are enough PR seats, small minority parties which have been unsuccessful in the plurality/majority elections can still be rewarded for their votes by winning seats in the proportional allocation. In addition, a Parallel system should, in theory, fragment the party system less than a pure PR electoral system.
It is much faster than sequential processing when it comes to doing repetitive calculations on vast amounts of data. This is because a parallel processor is capable of multithreading on a large scale, and can therefore simultaneously process several streams of data. This makes parallel processors suitable for graphics cards since the calculations required for generating the millions of pixels per second are all repetitive. GPUs can have over 200 cores to help them in this.The CPU of a normal computer is a sequential processor - it's good in processing data one step at a time. This is needed in cases where the calculation the processor is performing depends on the result of the previous calculation and so on; in parallel processing these kinds of calculations will slow it down, which is why CPUs are generally optimised for sequential operations and have only 1-8 cores.In summary, the one advantage of parallel processing is that it is much faster (about 200 times faster in the best cases) for simple, repetitive calculations on vast amounts of similar data.
1 comments:
Its not clear why in the optimal case parallel processing will be 200 times faster than sequential processing. How did you get that number?
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