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
files 0 71 0.000
modules 0 172 0.000
fib_iter 4 893 0.004
fib_recursive 7 877 0.008
loops 4 295 0.013
asdl_generated 7 368 0.020
parse 18 763 0.024
scoped_resource 39 1,018 0.039
containers 8 122 0.067
tuple_return_value 20 189 0.107
classes 3 19 0.166
length 37 203 0.184
cartesian 90 333 0.271
escape 99 349 0.285
cgi 266 502 0.529
varargs 16 24 0.680
control_flow 208 111 1.881

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 4.6 10.9 0.42
loops 3.7 7.2 0.51
parse 3.9 7.5 0.53
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
files 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
control_flow 3.7 6.8 0.54
length 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.7 47.7 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 12 0.000
classes 0 11 0.000
control_flow 0 4 0.000
loops 0 16 0.000
tuple_return_value 0 4 0.000
modules 2 12 0.148
fib_recursive 4 12 0.300
asdl_generated 4 8 0.450
containers 8 16 0.523
length 7 8 0.938
escape 8 8 0.991
varargs 49 48 1.020
parse 11 8 1.387
files 7 4 1.866
scoped_resource 8 4 1.958
fib_iter 4 0 inf
cartesian 0 0 NA

raw benchmark files