Hello.
Half a year ago, I was asking about sympy benchmarks. So here is some
feedback on what I got using the JIT. Running the very simple
benchmark, like this:
import sympy
import time
x, y = sympy.symbols('x, y')
for i in range(10):
t0 = time.time()
sympy.factor(x**20 - y**20)
print time.time() - t0
(I run it 10 times for JIT to warm up)
I get the following results:
CPython 2.6.4:
0.894039154053
0.738809108734
0.749840021133
0.817865848541
0.72897195816
0.771667957306
0.777043104172
0.770677089691
0.770140886307
0.877714157104
PyPy trunk (rev 71774):
1.19711208344
0.634068012238
0.557782888412
0.614212036133
0.521821022034
0.577347993851
0.481374979019
0.466244935989
0.444444894791
0.520822048187
So overal we get some (not too much) speedup, after warmup, without
even profiling that case. I suppose we can do much better if we try
slightly harder.
What do you think? Is it an interesting direction to pursue? Are
people interested?
Cheers,
fijal
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