Each table row shows performance measurements for this Numba program with a particular command-line input value N.
|N||CPU secs||Elapsed secs||Memory KB||Code B||≈ CPU Load|
|550||1.31||1.34||131,484||416||15% 9% 10% 8% 8% 9% 13% 99%|
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.
# 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 numba import jit from sys import argv from numpy import * @jit(forceobj=True) 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))
Wed, 12 Jan 2022 12:00:30 GMT COMMAND LINE: /usr/bin/python3 spectralnorm.numba-2.numba 550 PROGRAM OUTPUT: 1.274224125