Since this is not a desirable behaviour, we will enhance our simple processor with a waiting queue for tasks.
So, the graphics will show how efficiently the algorithm scales with the number of processors.
We have obtained a relative speedup of 25 with 30 processors.
It has to be stored elsewhere, a place where language processor does not normally go to in natural language communication.
In order to implement 64 filters on 16 processors, optimisation of the available processing power was required.
As one can see, a processor 'specialises' in one evolutionary operation only.
In this case, if processes were assigned to processors in a completely random fashion, we would not expect to do too badly.
Instruments in this model may be computer systems, electronic synthesizers and signal processors, in addition to acoustic and electroacoustic instruments.
