[Numpy-discussion] How to speed up this function?

Nadav Horesh nadavh at visionsense.com
Wed Dec 6 02:05:06 EST 2006


You can speed it up easily by avoiding the loop. The main idea is to
replace the indexing of the type [i+1,j], [i-1,j], [i,j+1], [i,j-1] by
the appropriate slicing.

For example

for i in xrange(1,n):
  for j in xrange(1,m)
    a[i,j] = b[i-1,j] + c[i,j+1] 

can be replaced by

a[1:,:-1] = b[:-1] + c[:,1:]


 Nadav.

-----Original Message-----
From: numpy-discussion-bounces at scipy.org
[mailto:numpy-discussion-bounces at scipy.org] On Behalf Of
fsenkel at verizon.net
Sent: Monday, December 04, 2006 05:28
To: numpy-discussion at scipy.org
Subject: [Numpy-discussion] How to speed up this function?

Hello,

I'm taking a CFD class, one of the codes I wrote runs very slow. When I
look at hotshot is says the function below is the problem. Since this is
an explicit step, the for loops are only traversed once, so I think it's
caused by memory usage, but I'm not sure if it's the local variables or
the loop? I can vectorize the inner loop,  would declaring the data
structures in the calling routine and passing them in be a better idea
than using local storage?

I'm new at python and numpy, I need to look at how to get profiling
information for the lines within a function.


Thank you,

Frank


PS
I tried to post this via google groups, but it didn't seem to go
through, sorry if it ends up as multiple postings


def findw(wnext,wprior,phiprior,uprior,vprior):
   #format here is x[i,j] where i's are rows, j's columns, use flipud()
to get the
   #print out consistent with the spacial up-down directions

   #assign local names that are more
   #inline with the class notation
   w = wprior
   phi = phiprior
   u = uprior  
   v = vprior


   #three of the BC are known so just set them
   #symetry plane
   wnext[0,0:gcols] = 0.0

   #upper wall
   wnext[gN,0:gcols] = 2.0/gdy**2 * (phi[gN,0:gcols] -
phi[gN-1,0:gcols])

   #inlet, off the walls
   wnext[1:grows-1,0] = 0.0


   upos = where(u>0)
   vpos = where(v>0)

   Sx = ones_like(u)
   Sx[upos] = 0.0

   Sy = ones_like(v)
   Sy[vpos] = 0.0
   
   uw = u*w
   vw = v*w

   #interior nodes
   for j in range(1,gasizej-1):
       for i in range(1,gasizei-1):

           wnext[i,j] =( w[i,j] + gnu*gdt/gdx**2 * (w[i,j-1] -
2.0*w[i,j] + w[i,j+1]) +
                         gnu*gdt/gdy**2 * (w[i-1,j] - 2.0*w[i,j] +
w[i+1,j]) -
                         (1.0 - Sx[i,j]) * gdt/gdx * (uw[i,j] -
uw[i,j-1]) -
                         Sx[i,j] * gdt/gdx * (uw[i,j+1] - uw[i,j]) -
                         (1.0 - Sy[i,j]) * gdt/gdy * (vw[i,j] -
vw[i-1,j]) -
                         Sy[i,j] * gdt/gdy * (vw[i+1,j] - vw[i,j]) )

##        print "***wnext****"
##        print "i: ", i, "j: ", j, "wnext[i,j]: ", wnext[i,j]
   
   #final BC at outlet, off walls
   wnext[1:grows-1,gM] = wnext[1:grows-1,gM-1]
_______________________________________________
Numpy-discussion mailing list
Numpy-discussion at scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion



More information about the NumPy-Discussion mailing list