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 0 175 0.000
fib_iter 8 881 0.009
fib_recursive 11 878 0.012
loops 4 298 0.012
asdl_generated 8 400 0.019
parse 30 774 0.038
scoped_resource 42 1,015 0.042
files 4 72 0.051
tuple_return_value 16 183 0.087
classes 3 27 0.122
containers 15 109 0.140
length 37 202 0.185
cartesian 90 337 0.267
escape 98 351 0.281
cgi 254 507 0.501
varargs 21 16 1.300
control_flow 210 105 1.996

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 10.8 0.41
parse 3.8 7.6 0.50
escape 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
length 3.7 6.9 0.53
loops 3.8 7.1 0.54
cartesian 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
modules 3.8 6.9 0.55
files 3.9 7.1 0.56
fib_recursive 3.9 6.9 0.57
containers 28.7 47.8 0.60
varargs 5.4 7.1 0.76

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 4 0.000
classes 0 4 0.000
containers 0 24 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
parse 0 8 0.000
modules 2 8 0.229
scoped_resource 4 12 0.352
tuple_return_value 4 8 0.503
varargs 46 56 0.817
length 7 8 0.924
files 4 4 0.925
escape 8 4 1.954
asdl_generated 4 0 inf
cartesian 0 0 NA
loops 0 0 NA

raw benchmark files