Threading/Multiprocessing - Match searching a 60gb file with 600k terms

I have a python script that would take ~93 days to complete on 1 CPU, or 1.5 days on 64.

I have a large file (FOO.sdf) and would like to extract the "entries" from FOO.sdf that match a pattern. An "entry" is a block of ~150 lines delimited by "$$$$". The output desired is 600K blocks of ~150 lines. This script I have now is shown below. Is there a way to use multiprocessing or threading to divy up this task across many cores/cpus/threads? I have access to a server with 64 cores.

name_list = []
c=0

#Titles of text blocks I want to extract (form [...,'25163208',...])
with open('Names.txt','r') as names:
    for name in names:
        name_list.append(name.strip())

#Writing the text blocks to this file
with open("subset.sdf",'w') as subset:

    #Opening the large file with many textblocks I don't want
    with open("FOO.sdf",'r') as f:

        #Loop through each line in the file
        for line in f:

            #Avoids appending extreanous lines or choking 
            if line.split() == []:
                continue

            #Simply, this line would check if that line matches any name in "name_list".
            #But since I expect this is expensive to check, I only want it to occur if it passes the first two conditions.
            if ("-" not in line.split()[0]) and (len(line.split()[0]) >= 5) and (line.split()[0] in name_list):
                c=1 #when c=1 it designates that line should be written

            #Write this line to output file
            if c==1:
                subset.write(line)

            #Stop writing to file once we see "$$$$"
            if c==1 and line.split()[0] == "$$$$":
                c=0
                subset.write(line)