(original) (raw)

You can through the ML post that is linked from that page and pick one attribute and then try to produce examples by hand where LLVM is failing to produce a good result. Then formulate (on paper) a static analysis that could infer the missing attributes.

Nuno

From: Stefan Stipanovic
Sent: 15 February 2019 17:47
To: Nuno Lopes
Cc: llvm-dev@lists.llvm.org
Subject: Re: \[llvm-dev\] \[GSOC 2019\] project ideas from 2018

Nuno,

I've seen you added 'Improving function attributes' to the project ideas list. Now that it is official I have a question about the preparation.

Is there any small piece of work on the project that I can start working on before applying? Any advice in general would be much appreciated.

Thanks,

Stefan

чет, 24\. јан 2019\. у 23:27 Nuno Lopes <nunoplopes@sapo.pt> је написао/ла:

This project wasn't picked by anyone and is still available.
I'm unsure if I'm able to mentor projects this year. I suggest you apply and
then we try to find a suitable mentor if applicable.

Nuno

-----Original Message-----
From: Stefan Stipanovic
Sent: Thursday, January 24, 2019 9:35 AM
To: llvm-dev@lists.llvm.org
Subject: \[llvm-dev\] \[GSOC 2019\] project ideas from 2018


Hi everyone,

Last year I found about GSoC and llvm bit to late to apply. I noticed that
"Improve function attribute inference" project idea was not taken. Does
anyone know if someone has worked on it in the meantime? If not, is someone
interested in mentoring? Nuno Lopes or someone else?

Thanks and regards,
Stefan.

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