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 4 896 0.004
fib_recursive 7 878 0.008
asdl_generated 4 373 0.010
modules 2 178 0.011
loops 4 290 0.013
scoped_resource 39 1,034 0.038
parse 29 760 0.039
containers 8 105 0.073
classes 3 31 0.101
files 7 72 0.102
tuple_return_value 20 185 0.108
length 44 203 0.218
cartesian 92 327 0.281
escape 102 358 0.286
cgi 249 507 0.491
varargs 15 8 1.940
control_flow 210 107 1.971

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 0.42
parse 3.9 7.7 0.51
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
length 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
loops 3.9 7.1 0.56
modules 3.9 6.9 0.57
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
files 0 4 0.000
length 0 8 0.000
loops 0 4 0.000
modules 0 4 0.000
parse 0 12 0.000
tuple_return_value 0 8 0.000
containers 8 28 0.272
cartesian 4 8 0.501
cgi 4 8 0.503
asdl_generated 7 12 0.616
varargs 50 64 0.788
fib_recursive 4 4 0.898
scoped_resource 8 4 1.941
escape 4 0 inf
fib_iter 4 0 inf
classes 0 0 NA

raw benchmark files