Hi!
Since I observed a massive performance drop on the machines that I
have at my university, I considered the following test function (in a
file "overhead.py") for the Singular pexpect interface:
def test(n):
st = singular.cputime()
ct = cputime()
wt = walltime()
for i in range(n):
a = singular(i)
print "Wall time: ", walltime(wt)
print "Total CPU:", cputime(ct)+singular.cputime(st)
On bsd.math, I get
sage: attach "overhead.py"
sage: test(1000)
Wall time: 0.261538028717
Total CPU: 0.331918
On some machines at my university, I get something like
sage: attach "overhead.py"
sage: test(1000)
Wall time: 59.9999949932
Total CPU: 0.05
The CPU time is better than on bsd.math, but the overhead is abysmal
(remark: My test was the only application running on the machine)!
Unfortunately I don't know what one could do in order to improve the
performance of the pexpect interface and reduce the overhead.
Can you give me some hints that I can forward to our administrators?
How can one achieve a better performance, e.g., what hardware
components might be added/replaced, would it be better to abandon
Ubuntu, are there hardware switches that might help?
The machines are
1.
Linux mpc721 2.6.32-24-server #43-Ubuntu SMP Thu Sep 16 16:05:42 UTC
2010 x86_64 GNU/Linux
Four Dual Core AMD Opteron(tm) Processors 270, 1800.000MHz
2.
Linux mpc622 2.6.34.linuxpool #0 SMP PREEMPT Wed May 19 16:32:19 CEST
2010 x86_64 GNU/Linux
Intel(R) Core(TM) i3 CPU 530 @ 2.93GHz
Best regards,
Simon
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