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
modules 0 178 0.000
fib_iter 4 1,528 0.002
fib_recursive 11 889 0.012
loops 4 286 0.013
asdl_generated 7 375 0.019
scoped_resource 32 1,032 0.031
parse 30 767 0.039
containers 10 98 0.102
tuple_return_value 20 185 0.108
files 8 68 0.113
classes 3 22 0.145
length 36 206 0.175
cartesian 75 328 0.228
escape 103 346 0.297
cgi 261 517 0.504
varargs 12 16 0.730
control_flow 207 105 1.976

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 4.3 10.7 0.40
parse 3.8 7.6 0.50
asdl_generated 3.7 7.1 0.52
escape 3.5 6.8 0.52
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
loops 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
files 3.9 6.9 0.57
modules 3.9 6.9 0.57
containers 28.5 47.6 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 9 0.000
control_flow 0 8 0.000
fib_recursive 0 8 0.000
files 0 8 0.000
loops 0 8 0.000
parse 0 8 0.000
tuple_return_value 0 8 0.000
containers 5 35 0.142
modules 2 4 0.431
fib_iter 4 8 0.469
escape 4 8 0.517
asdl_generated 4 4 0.895
varargs 55 56 0.973
cgi 8 8 0.985
cartesian 16 8 1.969
scoped_resource 16 8 1.970
length 8 4 2.019

raw benchmark files