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Date:   Mon, 23 Oct 2023 14:58:08 -0700
From:   Andi Kleen <ak@...ux.intel.com>
To:     Namhyung Kim <namhyung@...nel.org>
Cc:     Arnaldo Carvalho de Melo <acme@...nel.org>,
        Jiri Olsa <jolsa@...nel.org>,
        Peter Zijlstra <peterz@...radead.org>,
        Ian Rogers <irogers@...gle.com>,
        Adrian Hunter <adrian.hunter@...el.com>,
        Ingo Molnar <mingo@...nel.org>,
        LKML <linux-kernel@...r.kernel.org>,
        linux-perf-users@...r.kernel.org,
        Linus Torvalds <torvalds@...ux-foundation.org>,
        Stephane Eranian <eranian@...gle.com>,
        Masami Hiramatsu <mhiramat@...nel.org>,
        linux-toolchains@...r.kernel.org,
        linux-trace-devel@...r.kernel.org,
        Ben Woodard <woodard@...hat.com>,
        Joe Mario <jmario@...hat.com>,
        Kees Cook <keescook@...omium.org>,
        David Blaikie <blaikie@...gle.com>,
        Xu Liu <xliuprof@...gle.com>,
        Kan Liang <kan.liang@...ux.intel.com>,
        Ravi Bangoria <ravi.bangoria@....com>
Subject: Re: [RFC 00/48] perf tools: Introduce data type profiling (v1)

Namhyung Kim <namhyung@...nel.org> writes:

> Hello,
>
> I'm happy to share my work on data type profiling.  This is to associate
> PMU samples to data types they refer using DWARF debug information.  So
> basically it depends on quality of PMU events and compiler for producing
> DWARF info.  But it doesn't require any changes in the target program.
>
> As it's an early stage, I've targeted the kernel on x86 to reduce the
> amount of work but IIUC there's no fundamental blocker to apply it to
> other architectures and applications.

FWIW i posted a similar patchkit a long time ago

https://lore.kernel.org/lkml/20171128002321.2878-13-andi@firstfloor.org/

It was on my list to resurrect that, it's great that you are doing
something similar.

The latest iteration (not posted) was here:

https://git.kernel.org/pub/scm/linux/kernel/git/ak/linux-misc.git/log/?h=perf/var-resolve-7

The main difference seems to be that mine was more for perf script
(e.g. i supported PT decoding), while you are more focused on sampling.
I relied on the kprobes/uprobes engine, which unfortunately was always
quite slow and had many limitations.

Perhaps it would be possible merge the useful parts of the two approaches?

-Andi

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