Describe the feature you are interested and which may bring benefit to the
project ...
When run aforge on multicore CPU, we can create more thread match with the
number of logic cores.
Since the calculation for each neuron are same and independent, if create more
thread, the speed will be accelerated.
Provide any references/links to publications/algorithms/etc. which could
help in development ...
In my local testing, I have create two thread, each one has its own output
array(double[1500]).
I also duplicate the input array(double[3000]) for each thread.
And totally 3000 neurons in a layer.
The code will copy two output results(double[1500]) into one double[3000] for
return.
The result is the time will 40% decreased.
I haven't tested that whether all copies of input and output array are
necessary.
Maybe it will not affect the performance.
Original issue reported on code.google.com by ChinaTo...@gmail.com on 29 Jul 2013 at 1:27
Original issue reported on code.google.com by
ChinaTo...@gmail.comon 29 Jul 2013 at 1:27