Perform a for-loop in parallel in Python 3.2

Possible Duplicate:
how do I parallelize a simple python loop?

I'm quite new to Python (using Python 3.2) and I have a question concerning parallelisation. I have a for-loop that I wish to execute in parallel using "multiprocessing" in Python 3.2:

def computation:    
    global output

    for x in range(i,j):
        localResult = ... #perform some computation as a function of i and j
        output.append(localResult)

In total, I want to perform this computation for a range of i=0 to j=100. Thus I want to create a number of processes that each call the function "computation" with a subdomain of the total range. Any ideas of how do to this? Is there a better way than using multiprocessing?

More specific, I want to perform a domain decomposition and I have the following code:

from multiprocessing import Pool

class testModule:

    def __init__(self):
        self

    def computation(self, args):
        start, end = args
        print('start: ', start, ' end: ', end)

testMod = testModule()
length = 100
np=4
p = Pool(processes=np)
p.map(yes tMod.computation, [(length, startPosition, length//np) for startPosition in    range(0, length, length//np)]) 

I get an error message mentioning PicklingError. Any ideas what could be the problem here?