[llvm-dev] [GSOC 2018] Improve function attribute inference

[Nuno Lopes via llvm-dev]

Eric: thanks for bringing this to my attention; I somehow missed this email.

Hi Buddhika,

Thanks for getting in touch and for your interest.
Please submit an application whenever the registration period opens and let 
me/us know if you have any question regarding the project and/or GSoC.

Regards,
Nuno


On Sun, Feb 25, 2018 at 1:37 PM buddhika chamith via llvm-dev 
<llvm-dev at lists.llvm.org> wrote:

Hi Devs,

I am a PhD student at Indiana University. I am interested in working on the 
project on function attribute inference. My current research direction 
involves runtime binary optimization using JIT compilation from a lifted 
LLVM IR. I am hoping various runtime information coupled with static 
analysis on the IR can provide better avenues for runtime code JITTIng (akin 
to PGO).

Anyway I think the project on function attribute inference aligns with my 
current work in that it would help me to get more familiar with static 
analysis passes in LLVM and provide an opportunity for me to do a useful 
contribution to the LLVM community.

Thanks
Buddhika


-- 

Research Assistant
Indiana University
Web: http://homes.soic.indiana.edu/budkahaw/
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