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 8 890 0.009
modules 2 182 0.010
fib_recursive 11 901 0.012
loops 4 294 0.013
asdl_generated 7 380 0.019
scoped_resource 36 1,024 0.035
parse 29 755 0.039
containers 8 98 0.081
tuple_return_value 20 188 0.109
files 8 68 0.113
classes 3 26 0.126
length 44 208 0.211
cartesian 78 337 0.232
escape 91 344 0.265
varargs 8 16 0.514
cgi 263 507 0.519
control_flow 207 117 1.776

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 7.5 0.51
loops 3.7 7.2 0.51
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
length 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
escape 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
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
files 3.9 7.1 0.56
containers 28.5 47.8 0.60
varargs 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 4 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 8 0.000
length 0 4 0.000
loops 0 8 0.000
parse 0 8 0.000
tuple_return_value 0 4 0.000
containers 8 39 0.202
cgi 4 12 0.333
varargs 58 56 1.028
scoped_resource 12 8 1.514
cartesian 12 8 1.535
escape 16 8 1.983
asdl_generated 4 0 inf
control_flow 4 0 inf
modules 0 0 NA

raw benchmark files