[Octave-bug-tracker] [bug #47478] parallel package: parcellfun() hangs when used with @fft2()

[Brett Merrick]

Follow-up Comment #2, bug #47478 (project octave):

Thanks for taking the time to test it on your machine. 

Like you, I also wondered whether the fft* functions are already
multi-threaded. They do not appear to be. This I say based on visual
inspection of the CPU core loads, using the System Monitor in Mint 17, while
calling fft2 on a large matrix. If I use a matrix large enough, a single call
to fft2 can take about 15 seconds, in which only one CPU core seems to be
doing all the work. 

In fact, that observation was the main reason I tried parcellfun on fft2. The
2D FFT is *the* bottleneck in my computations, and fft2 does not seem to make
good use of the available CPU cores. So I figured I'd pass different matrices
to different processes.



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