mycpp Code Generation

Measure the speedup from mycpp, and the resource usage.

Source code: oil/mycpp/examples

User Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 20 0.000
fib_iter 4 889 0.004
modules 2 174 0.012
fib_recursive 11 893 0.012
loops 4 291 0.013
asdl_generated 7 378 0.019
parse 23 752 0.030
scoped_resource 47 1,045 0.045
files 4 73 0.052
tuple_return_value 10 179 0.056
containers 12 104 0.117
length 44 202 0.219
cartesian 80 329 0.242
escape 102 354 0.289
varargs 8 24 0.351
cgi 257 519 0.496
control_flow 208 109 1.904

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name C++ Python C++ : Python
classes 4.5 10.6 0.42
parse 3.8 7.6 0.50
cgi 3.5 6.9 0.51
escape 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
files 3.7 7.1 0.52
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.5 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
control_flow 0 8 0.000
length 0 8 0.000
loops 0 4 0.000
modules 0 12 0.000
scoped_resource 0 16 0.000
containers 4 36 0.113
classes 3 12 0.280
parse 8 16 0.475
fib_iter 4 8 0.480
tuple_return_value 10 12 0.846
asdl_generated 4 4 0.899
files 4 4 0.944
escape 4 4 1.016
varargs 58 51 1.134
cartesian 12 8 1.490
cgi 12 4 2.975
fib_recursive 0 0 NA

raw benchmark files