triangle_reflection_complex/parallelization/runjobs.py

58 lines
1.2 KiB
Python
Executable File

#!/usr/bin/python
from mpi4py import MPI
import os
import re
import math
import subprocess
import time
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
nodes = comm.Get_size()
# print(os.path.abspath(os.curdir))
done = set()
for f in os.listdir('.'):
if re.search('^done_[0-9]+', f):
fp = open(f, "r")
for x in fp:
done.add(int(x))
fp.close()
f = open("commands", "r")
idx = 0
todo = []
for c in f:
if not idx in done:
todo.append((idx,c))
idx = idx+1
f.close()
start = math.floor(len(todo)/nodes*rank)
end = math.floor(len(todo)/nodes*(rank+1))
if(rank == nodes-1):
end = len(todo)
print("{n:d} commands awaiting execution, {nnode:d} of them in node {rank:d}".format(n=len(todo),nnode=end-start,rank=rank))
time.sleep(1) # to make sure all nodes read the status first before more gets done
outfilename = "result_{node:003d}".format(node=rank)
donefilename = "done_{node:003d}".format(node=rank)
outfile = open(outfilename, "a")
donefile = open(donefilename, "a")
for i in range(start, end):
result = subprocess.call(todo[i][1], stdout=outfile, shell=True)
if result == 0:
donefile.write(str(todo[i][0]) + '\n')
else:
print("Command failed: {cmd}".format(cmd=todo[i][1]))
outfile.flush()
donefile.flush()
outfile.close()
donefile.close()