Now that sp_inc attributes are officially provided as inline functions. Why not use them directly from the vm core, not just by the compiler. By doing so, it is now possible for us to optimize stack manipulations. We can now know exactly how many words of stack space an instruction consumes before it actually does. This changeset deletes some lines from insns.def because they are no longer needed. As a result it reduces the size of vm_exec_core function from 32,400 bytes to 32,352 bytes on my machine.
It seems it does not affect performance:
benchmark results: minimum results in each 3 measurements. Execution time (sec) name before after loop_for 1.093 1.061 loop_generator 1.156 1.152 loop_times 0.982 0.974 loop_whileloop 0.549 0.587 loop_whileloop2 0.115 0.121
Speedup ratio: compare with the result of `before' (greater is better) name after loop_for 1.030 loop_generator 1.003 loop_times 1.008 loop_whileloop 0.935 loop_whileloop2 0.949
Added by shyouhei (Shyouhei Urabe) almost 8 years ago
also use sp_inc in vm core
Now that sp_inc attributes are officially provided as inline
functions. Why not use them directly from the vm core, not just
by the compiler. By doing so, it is now possible for us to
optimize stack manipulations. We can now know exactly how many
words of stack space an instruction consumes before it actually
does. This changeset deletes some lines from insns.def because
they are no longer needed. As a result it reduces the size of
vm_exec_core function from 32,400 bytes to 32,352 bytes on my
machine.
It seems it does not affect performance:
benchmark results:
minimum results in each 3 measurements.
Execution time (sec)
name before after
loop_for 1.093 1.061
loop_generator 1.156 1.152
loop_times 0.982 0.974
loop_whileloop 0.549 0.587
loop_whileloop2 0.115 0.121
Speedup ratio: compare with the result of `before' (greater is better)
name after
loop_for 1.030
loop_generator 1.003
loop_times 1.008
loop_whileloop 0.935
loop_whileloop2 0.949
git-svn-id: svn+ssh://ci.ruby-lang.org/ruby/trunk@62087 b2dd03c8-39d4-4d8f-98ff-823fe69b080e