I think this comparison is not fair since C++ version uses float32 and Julia
float64 by default.
If you provide that information to the compiler the results are similar.
function test1()
a=2.0f32
for i=1:1000000
a+=exp(a%2.0f32);
end
end
@time test1()
Julia elapsed time: 0.018281912 seconds (125220 bytes allocated)
C++ me 30000 clicks (0.030000 seconds).
Interstingly Julia's example using Integer in mod operation is slower:
a+=exp(a%2);
elapsed time: 0.049916461 seconds (304116 bytes allocated)
These toy benchmarks are pointless anyway.
