similar to: [LLVMdev] GSoC: Profile-guided inlining and block positioning

Hi! My name is Gratian and I would like to participate to GSOC 2011. I'm interested in profile-guided optimizations, and I want to implement two optimizations that can bring tangible benefits for most applications: profile-guided function inlining and basic block positioning. Inlining can be greatly improved if we take into consideration how many times the function we want to inline was

Hello: I am following the example code in BasicBlockPlacement.cpp. That transformation relies on basic block execution frequencies that have been read from a profile file. This is how it loads the profile data: 1. In getAnalysisUsage, it calls addRequired<ProfileInfo>(), and 2. In the runOnFunction, it calls getAnalysis<ProfileInfo>() which returns a ProfileInfo object pointer.

On Thu, Dec 10, 2015 at 4:00 PM, Philip Reames <listmail at philipreames.com> wrote: > Given I didn't get any response to my original query, I chose not to invest > time in this at the time. I am unlikely to get time for this in the near > future. > > On 12/07/2015 03:13 PM, Easwaran Raman wrote: > > (Resending after removing llvmdev at cs.uiuc.edu and using >

Hi, I would like to learn the details regarding what exactly PGO does for basic block layout/code placement optimizations in llvm. Could you please point me to some descriptions? Is it close to this paper (Karl Pettis and Robert C. Hansen. 1990. Profile guided code positioning. PLDI'90) http://perso.ensta-paristech.fr/~bmonsuez/Cours/B6-4/Articles/papers15.pdf? Whether it is purely

(Resending after removing llvmdev at cs.uiuc.edu and using llvm-dev at lists.llvm.org) On Mon, Dec 7, 2015 at 3:08 PM, Easwaran Raman <eraman at google.com> wrote: > Hi Philip, > > Is there any update on this? I've been sending patches to get rid of the > callee hotness based inline hints from the frontend and move the logic to > the inliner. The next step is to use

I would like to start prototyping changes towards profile guided inlining. Before doing so, I wanted to get feedback from the community on the appropriate approach. I'm going to layout a strawman proposal, but I'm open to other ideas on how to approach the problem. Depending on what approach we settle on, I *may* be able to commit resources to actually implement this in the near

On 2013-06-12 17:23 , Diego Novillo wrote: > > I have started looking at the state of PGO (Profile Guided > Optimization) in LLVM.**I want to discuss my high-level plan and make > sure I'm not missing anything interesting out. I appreciate any > feedback on this, pointers to existing work, patches and anything > related to PGO in LLVM. Good grief. A whole lot of fail

On Jun 12, 2013, at 2:23 PM, Diego Novillo <dnovillo at google.com> wrote: > In terms of optimizations, our (Google) experience is that > inlining is the key beneficiary of profile information. > Particularly, in big C++ applications. I expect to focus most > of my attention on the inliner. That sounds plausible to me. It seems like we might need a way of representing call

Hi all, I would like to know the status of profile-guided optimization. What enhancements could be done to the current implementation? The ideas for profile-guided transformations from [0] are still available? Many thanks. Gener [0] http://llvm.org/OpenProjects.html#profileguided -------------- next part -------------- An HTML attachment was scrubbed... URL:

hello,everyone recently, I analyze the compiler optimization level, so I have searched the usage of profile-guided optimization of LLVM, but little result in google, therefore, could you please list detailed usage of profile-guided optimization? LLVM must be install with flags '--enable-profile'? A example will be pleasure. thanks von -------------- next part -------------- An HTML

On Thu, Jun 15, 2017 at 11:09 AM, Xinliang David Li via llvm-dev < llvm-dev at lists.llvm.org> wrote: > > > On Thu, Jun 15, 2017 at 10:55 AM, Michael Spencer via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > >> On Thu, Jun 15, 2017 at 10:08 AM, Tobias Edler von Koch < >> tobias at codeaurora.org> wrote: >> >>> Hi Michael,

Thanks a lot for replying Chris, I m trying to randomize the blocks in a program.I generate a random number( between the current "InsertPos" and the last block), and then iterate through the list of basicblocks , picking up block with position equal to that of the random number and place it into the current InsertPos and increment InsertPos. Running it like this:

Hello, I'm learning how LLVM performs PGO (profile-guided optimizations) by using the instrumentation-based profile build (-fprofile-instr-generate and -fprofile-instr-use). However, I found there is no difference in inlining behaviors between with and without PGO for a few spec benchmarks by checking the emit optimization reports (-Rpass=inline -Rpass-missed=inline -Rpass-analysis=inline).

Hi everyone, I would like to share a paper my co-authors and I published at CGO 2013, where we used profiling support in LLVM for efficient code layout randomization: Andrei Homescu, Steven Neisius, Per Larsen, Stefan Brunthaler, Michael Franz. Profile-guided Automated Software Diversity. In Proceedings of the 2013 International Symposium on Code Generation and Optimization, CGO '13,

Dear LLVM community, I am very happy to become a member of this great community. At the German Climate Research Center (DKRZ) I am a PhD student and write my thesis in python. The general topic is Compiler Optimization in High Performance Computing. My use cases are climate models, written in C/C++. In Frankfurt I am working at a HPC Cluster Center and my duties are to monitor and to optimize

I was looking over the open projects page and I am curious about the current status of the profile guided optimization support mentioned here. I am curious what developments have taken place in this area since the page was updated and about where would I find the relevant portions of the code in the source. Thanks in advance, Carter.

How mature is the profile guided compilation for the LLVM? Thanks, Jeff Kunkel

I'm new to llvm, but plan to implement a profile-guided link-time function inliner as part of my research. So far I've been reading through a lot of the docs and some of the source, and have a few questions that are hopefully fairly high-level and easily answered by someone who's actually gotten their hands dirty. Pointing me to a file or document is a great answer for me at this

Hi I have one question on LLVM 3.3 profile guided optimizations. I see in the utils/profile.pl there are supports for "-insert-block-profiling", "-insert-edge-profiling" and "-insert-function-profiling", but it seems only -insert-edge-profiling is working and the other 2 gets suggested to "-insert-gcov-profiling". and llvm_start_basic_block_tracing does

Hi I am modifying LLVM to enable runtime feedback directed optimizations. I have modified the instrumentation part of LLVM to keep instrumentation data in some pre-setup structures in memory and use the JIT to recompile some of the hot functions with profiling information. I need an analysis pass which loads the profiling data in memory and can be used by different optimization passes in LLVM,