performance measurements
Each table row shows performance measurements for this Nuitka program with a particular command-line input value N.
| N | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| 550 | 0.31 | 0.35 | 3,456 | 642 | 100% 0% 0% 0% 0% 0% 0% 6% |
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 Nuitka #3 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
# Used list comprehension by Vadim Zelenin
# 2to3
# Sped up with numpy by @tim_1729
from math import sqrt
from sys import argv
import numpy
def eval_A(i, j):
ij = i+j
return 1.0 / (ij * (ij + 1) / 2 + i + 1)
def eval_A_times_u(u):
local_eval_A = eval_A
n = u.shape[0]
# output is n items
iis = numpy.arange(n)
iis = numpy.reshape(iis,(n,1))
j = numpy.arange(n)
j = numpy.tile(j,(n,1)) # j is a matrix. Every row is [ 0, 1, 2, ...]
u_j = numpy.tile(u,(n,1))
output = numpy.sum(local_eval_A(iis,j)*u_j,axis=1)
return output
def eval_At_times_u(u):
local_eval_A = eval_A
n = u.shape[0]
# output is n items
# each item is sum of things in loop
iis = numpy.arange(n)
iis = numpy.reshape(iis,(n,1))
j = numpy.arange(n)
j = numpy.tile(j,(n,1))
u_j = numpy.tile(u,(n,1))
output = numpy.sum(local_eval_A(j,iis)*u_j,axis=1)
return output
def eval_AtA_times_u(u):
return eval_At_times_u(eval_A_times_u(u))
def main():
n = int(argv[1])
u = numpy.ones(n)
local_eval_AtA_times_u = eval_AtA_times_u
for dummy in range(10):
v = local_eval_AtA_times_u(u)
u = local_eval_AtA_times_u(v)
vBv = numpy.sum( u * v )
vv = numpy.sum( v * v )
print("%0.9f" % (numpy.sqrt(vBv/vv)))
if __name__ == "__main__":
main()
make, command-line, and program output logs
Sun, 23 Apr 2023 09:40:31 GMT MAKE: make[1]: Vstupuje se do adresáře „/home/dundee/work/pybenchmarks/bencher/tmp/spectralnorm/tmp“ nuitka3 --remove-output spectralnorm.nuitka-3.nuitka Nuitka-Options:INFO: Used command line options: --remove-output spectralnorm.nuitka-3.nuitka Nuitka-Options:WARNING: You did not specify to follow or include anything but main program. Check options and make sure that is intended. Nuitka:INFO: Starting Python compilation with Nuitka '1.5' on Python '3.10' commercial grade 'not installed'. Nuitka:INFO: Completed Python level compilation and optimization. Nuitka:INFO: Generating source code for C backend compiler. Nuitka:INFO: Running data composer tool for optimal constant value handling. Nuitka:INFO: Running C compilation via Scons. Nuitka-Scons:INFO: Backend C compiler: gcc (gcc). Nuitka-Scons:INFO: Backend linking program with 7 files (no progress information available). Nuitka-Scons:WARNING: You are not using ccache. Nuitka:INFO: Removing build directory 'spectralnorm.nuitka-3.nuitka.build'. Nuitka:INFO: Successfully created 'spectralnorm.nuitka-3.nuitka.bin'. cp spectralnorm.nuitka-3.nuitka.bin spectralnorm.nuitka-3.nuitka_run make[1]: Opouští se adresář „/home/dundee/work/pybenchmarks/bencher/tmp/spectralnorm/tmp“ 14.35s to complete and log all make actions COMMAND LINE: ./spectralnorm.nuitka-3.nuitka_run 550 PROGRAM OUTPUT: 1.274224125