performance measurements
Each table row shows performance measurements for this Jython program with a particular command-line input value N.
| N | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| 550 | 8.79 | 5.59 | 3,540 | 594 | 23% 31% 26% 41% 10% 8% 8% 11% |
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 Jython #8 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 by Joseph LaFata
from array import array
from math import sqrt
from sys import argv
import sys
if sys.version_info < (3, 0):
from itertools import izip as zip
else:
xrange = range
def eval_A (i, j):
return 1.0 / (((i + j) * (i + j + 1) >> 1) + i + 1)
def eval_A_times_u (u, resulted_list):
u_len = len (u)
local_eval_A = eval_A
for i in xrange (u_len):
partial_sum = 0
j = 0
while j < u_len:
partial_sum += local_eval_A (i, j) * u[j]
j += 1
resulted_list[i] = partial_sum
def eval_At_times_u (u, resulted_list):
u_len = len (u)
local_eval_A = eval_A
for i in xrange (u_len):
partial_sum = 0
j = 0
while j < u_len:
partial_sum += local_eval_A (j, i) * u[j]
j += 1
resulted_list[i] = partial_sum
def eval_AtA_times_u (u, out, tmp):
eval_A_times_u (u, tmp)
eval_At_times_u (tmp, out)
def main():
n = int (argv [1])
u = array("d", [1]) * n
v = array("d", [1]) * n
tmp = array("d", [1]) * n
local_eval_AtA_times_u = eval_AtA_times_u
for dummy in xrange (10):
local_eval_AtA_times_u (u, v, tmp)
local_eval_AtA_times_u (v, u, tmp)
vBv = vv = 0
for ue, ve in zip (u, v):
vBv += ue * ve
vv += ve * ve
print("%0.9f" % (sqrt(vBv/vv)))
main()
make, command-line, and program output logs
Fri, 30 Oct 2020 20:27:25 GMT COMMAND LINE: /usr/bin/jython spectralnorm.jython-8.jython 550 PROGRAM OUTPUT: 1.274224125