performance measurements

Each table row shows performance measurements for this Python 2 program with a particular command-line input value N.

 N  CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
5500.070.07?394  13% 0% 57% 43%
5500.070.07?394  0% 0% 0% 100%
5500.070.07?394  0% 0% 86% 0%

Read the ↓ make, command line, and program output logs to see how this program was run.

Read spectral-norm benchmark to see what this program should do.

 notes

 spectral-norm Python 2 #2 program source code

# The Computer Language Benchmarks Game
# http://benchmarksgame.alioth.debian.org/
#
# Contributed by Sebastien Loisel
# Fixed by Isaac Gouy
# Sped up by Josh Goldfoot
# Dirtily sped up by Simon Descarpentries
# Sped up with numpy by Kittipong Piyawanno
# 2to3

from sys import argv
from numpy import *

def spectralnorm(n):
	u = matrix(ones(n))
	j = arange(n)
	eval_func = lambda i : 1.0 / ((i + j) * (i + j + 1) / 2 + i + 1)
	M = matrix([eval_func(i) for i in arange(n)])
	MT = M.T
	for i in range (10):
		v = (u*MT)*M
		u = (v*MT)*M
	print("%0.9f" % (sum(u*v.T)/sum(v*v.T))**0.5)

spectralnorm(int(argv[1]))

 make, command-line, and program output logs

Fri, 10 Nov 2017 20:19:51 GMT

COMMAND LINE:
/usr/bin/python2 spectralnorm.python-2.python 550

PROGRAM OUTPUT:
1.274224125

Revised BSD license

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