Python, multiprocessing: How to optimize the code? Make the code faster?

I use Python. I have 100 zip files. Each zipfile contains more than 100 xmlfiles. Using the xmlfiles I create csvfiles.

from xml.etree.ElementTree import fromstring
import zipfile
from multiprocessing import Process

def parse_xml_for_csv1(data, writer1):
    root = fromstring(data)
    for node in root.iter('name'):
        writer1.writerow(node.get('value'))

def create_csv1():
    with open('output1.csv', 'w') as f1:
        writer1 = csv.writer(f1)

        for i in range(1, 100):
            z = zipfile.ZipFile('xml' + str(i) + '.zip')
            # z.namelist() contains more than 100 xml files
            for finfo in z.namelist():
                data = z.read(finfo) 
                parse_xml_for_csv1(data, writer1)


def create_csv2():
    with open('output2.csv', 'w') as f2:
        writer2 = csv.writer(f2)

        for i in range(1, 100): 
            ...


if __name__ == "__main__":
    p1 = Process(target=create_csv1)
    p2 = Process(target=create_csv2)
    p1.start()
    p2.start()
    p1.join()
    p2.join()

Please tell me, how to optimize my code? Make the code faster?