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

[buddhika chamith via llvm-dev]

Hi Nuno,

Thanks. Appreciate if I can get some specific pointers to related code or
documentation that I could start looking to to get myself oriented. I just
started looking to in to lib/Analysis a bit.

Regards
Buddhika



On Thu, Mar 1, 2018 at 4:50 AM, Nuno Lopes <nunoplopes at sapo.pt> wrote:

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