使用 multiprocessing.Process 在 Python 中并行运行 function

Question

I have a python function

def noflux(j,i,cells,a,b,c,d):

that takes the arguments

j,i (integers)
cells (shape = (87,72), Type: ndarray),
a,b,c,d (shape = (87,72), Type: ndarray)

My laptop has 4 cores so as I understand it, the function should be able to be run 4 times at once with different arguments. The function doesn't currently return anything but just makes changes to the arguments.

I have tried to run some code using the mp.Process module but this doesn't work (code below):

p1 = mp.Process(target=noflux,args=[j,i,cells,rfu,lfu,ufu,dfu])
p2 = mp.Process(target=noflux,args=[j,i,cells,rfh,lfh,ufh,dfh])

p1.start()
p2.start()
            
p1.join()
p2.join() 

I have also looked into the Pool and starmap modules but have not been able to get these to work either. I think the problem has something to do with "pickle" but I'm not really sure what this is as I'm new to python as well as parallel processing!

Any help would be much appreciated!

Answer 1

According to multiprocessing doc , it seems that args should be tuple.

p2 = mp.Process(target=noflux,args=(j,i,cells,rfh,lfh,ufh,dfh,))