[llvm-dev] Suggestions on register allocation by using reinforcement learning
Tsung-Yu Hsieh via llvm-dev
llvm-dev at lists.llvm.org
Tue Jan 9 06:31:40 PST 2018
I'm quite new to LLVM *and doing a Q-learning *(*just a hobby*)* on
register allocation for LLVM. RegAllocRL is based on*
*RegAllocBase*,* RegAllocBasic and add some feature to implement Q-learning
*I*’*ve currently run as MachineFunctionPass and things seem to work in
simple case. In order to make progress on training*,
*I have questions and want to get some help:*
1. *Is there any file data format used in LLVM to store information in
each compilation step *?* As I know*,* the Pass can not run several time
in one compilation step*,* which means that I have to export data to
file before compilation step finished and load from it in the next
2. For training q-learning parameters, it would be necessary to run reg
allocation pass several iterations to converge. Now, I train by
compiling the target program once in each iteration and it will cost time.
I wonder if I can train by running the specific reg pass several time to
optimize my parameters ?
Since I'm new and this project is just experimental , I would appreciate
any help and comments. Thanks in advance!
Tsung-yu Hsieh (Kazami)
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