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
fib_iter 8 919 0.008
modules 2 180 0.010
fib_recursive 11 878 0.012
loops 4 304 0.013
parse 21 778 0.027
asdl_generated 11 383 0.028
containers 4 120 0.032
scoped_resource 47 1,063 0.044
files 4 68 0.056
tuple_return_value 21 193 0.110
length 33 204 0.163
classes 3 20 0.166
cartesian 87 317 0.275
escape 106 356 0.298
cgi 251 506 0.496
control_flow 207 113 1.837
varargs 28 8 3.435

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 10.7 0.41
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
fib_iter 3.5 6.9 0.51
escape 3.7 7.1 0.52
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
length 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.6 47.7 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 12 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
loops 0 12 0.000
modules 0 8 0.000
cartesian 4 12 0.333
files 4 8 0.480
containers 12 24 0.485
cgi 4 8 0.504
varargs 39 64 0.613
parse 8 4 2.099
length 11 4 2.779
asdl_generated 0 0 NA
escape 0 0 NA
scoped_resource 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files