process.py (3aa2d9e3a17455108487be9a174c0f069d9014ad) process.py (5e71baeff2f3138f93cd4f5927dfd596eb8325cc)
1#!/usr/bin/env python
2#!/bin/env python
3#
4# Computers speed up of Streams benchmark results generated by make streams and plots
5#
6# matplotlib can switch between different backends hence this needs to be run
7# twice to first generate a file and then display a window
8#
9import os
10#
11def process(fileoutput = 1):
12 import re
13 ff = open('scaling.log')
14 data = ff.read()
15 ff.close()
16
1#!/usr/bin/env python
2#!/bin/env python
3#
4# Computers speed up of Streams benchmark results generated by make streams and plots
5#
6# matplotlib can switch between different backends hence this needs to be run
7# twice to first generate a file and then display a window
8#
9import os
10#
11def process(fileoutput = 1):
12 import re
13 ff = open('scaling.log')
14 data = ff.read()
15 ff.close()
16
17 s = data.split('\n')
18 ss = []
19 for i in s:
20 if not i.startswith('MPI rank'):
21 ss.append(i)
22 data = '\n'.join(ss)
17 hosts = {}
18 triads = {}
19 speedups = {}
20 match = data.split('Number of MPI processes ')
21 for i in match:
22 if i:
23 fields = i.split('\n')
24 size = int(fields[0].split()[0])

--- 88 unchanged lines hidden --- 		23 hosts = {}
24 triads = {}
25 speedups = {}
26 match = data.split('Number of MPI processes ')
27 for i in match:
28 if i:
29 fields = i.split('\n')
30 size = int(fields[0].split()[0])

--- 88 unchanged lines hidden ---