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Message-ID: <c0a6ae91-c925-40d6-8f95-59a9144d203b@linux.dev>
Date: Thu, 12 Dec 2024 13:20:46 -0800
From: Yonghong Song <yonghong.song@...ux.dev>
To: Rong Xu <xur@...gle.com>, Alice Ryhl <aliceryhl@...gle.com>,
Andrew Morton <akpm@...ux-foundation.org>, Arnd Bergmann <arnd@...db.de>,
Bill Wendling <morbo@...gle.com>, Borislav Petkov <bp@...en8.de>,
Breno Leitao <leitao@...ian.org>, Brian Gerst <brgerst@...il.com>,
Dave Hansen <dave.hansen@...ux.intel.com>, David Li <davidxl@...gle.com>,
Han Shen <shenhan@...gle.com>, Heiko Carstens <hca@...ux.ibm.com>,
"H. Peter Anvin" <hpa@...or.com>, Ingo Molnar <mingo@...hat.com>,
Jann Horn <jannh@...gle.com>, Jonathan Corbet <corbet@....net>,
Josh Poimboeuf <jpoimboe@...nel.org>, Juergen Gross <jgross@...e.com>,
Justin Stitt <justinstitt@...gle.com>, Kees Cook <kees@...nel.org>,
Masahiro Yamada <masahiroy@...nel.org>, "Mike Rapoport (IBM)"
<rppt@...nel.org>, Nathan Chancellor <nathan@...nel.org>,
Nick Desaulniers <ndesaulniers@...gle.com>,
Nicolas Schier <nicolas@...sle.eu>, "Paul E. McKenney" <paulmck@...nel.org>,
Peter Zijlstra <peterz@...radead.org>,
Sami Tolvanen <samitolvanen@...gle.com>, Thomas Gleixner
<tglx@...utronix.de>, Wei Yang <richard.weiyang@...il.com>,
workflows@...r.kernel.org, Miguel Ojeda <miguel.ojeda.sandonis@...il.com>,
Maksim Panchenko <max4bolt@...il.com>, "David S. Miller"
<davem@...emloft.net>, Andreas Larsson <andreas@...sler.com>,
Yabin Cui <yabinc@...gle.com>, Krzysztof Pszeniczny
<kpszeniczny@...gle.com>, Sriraman Tallam <tmsriram@...gle.com>,
Stephane Eranian <eranian@...gle.com>
Cc: x86@...nel.org, linux-arch@...r.kernel.org, sparclinux@...r.kernel.org,
linux-doc@...r.kernel.org, linux-kbuild@...r.kernel.org,
linux-kernel@...r.kernel.org, llvm@...ts.linux.dev
Subject: Re: [PATCH v7 7/7] Add Propeller configuration for kernel build
On 11/2/24 10:51 AM, Rong Xu wrote:
> Add the build support for using Clang's Propeller optimizer. Like
> AutoFDO, Propeller uses hardware sampling to gather information
> about the frequency of execution of different code paths within a
> binary. This information is then used to guide the compiler's
> optimization decisions, resulting in a more efficient binary.
>
> The support requires a Clang compiler LLVM 19 or later, and the
> create_llvm_prof tool
> (https://github.com/google/autofdo/releases/tag/v0.30.1). This
> commit is limited to x86 platforms that support PMU features
> like LBR on Intel machines and AMD Zen3 BRS.
>
> Here is an example workflow for building an AutoFDO+Propeller
> optimized kernel:
>
> 1) Build the kernel on the host machine, with AutoFDO and Propeller
> build config
> CONFIG_AUTOFDO_CLANG=y
> CONFIG_PROPELLER_CLANG=y
> then
> $ make LLVM=1 CLANG_AUTOFDO_PROFILE=<autofdo_profile>
>
> “<autofdo_profile>” is the profile collected when doing a non-Propeller
> AutoFDO build. This step builds a kernel that has the same optimization
> level as AutoFDO, plus a metadata section that records basic block
> information. This kernel image runs as fast as an AutoFDO optimized
> kernel.
>
> 2) Install the kernel on test/production machines.
>
> 3) Run the load tests. The '-c' option in perf specifies the sample
> event period. We suggest using a suitable prime number,
> like 500009, for this purpose.
> For Intel platforms:
> $ perf record -e BR_INST_RETIRED.NEAR_TAKEN:k -a -N -b -c <count> \
> -o <perf_file> -- <loadtest>
> For AMD platforms:
> The supported system are: Zen3 with BRS, or Zen4 with amd_lbr_v2
> # To see if Zen3 support LBR:
> $ cat proc/cpuinfo | grep " brs"
> # To see if Zen4 support LBR:
> $ cat proc/cpuinfo | grep amd_lbr_v2
> # If the result is yes, then collect the profile using:
> $ perf record --pfm-events RETIRED_TAKEN_BRANCH_INSTRUCTIONS:k -a \
> -N -b -c <count> -o <perf_file> -- <loadtest>
>
> 4) (Optional) Download the raw perf file to the host machine.
>
> 5) Generate Propeller profile:
> $ create_llvm_prof --binary=<vmlinux> --profile=<perf_file> \
> --format=propeller --propeller_output_module_name \
> --out=<propeller_profile_prefix>_cc_profile.txt \
> --propeller_symorder=<propeller_profile_prefix>_ld_profile.txt
>
> “create_llvm_prof” is the profile conversion tool, and a prebuilt
> binary for linux can be found on
> https://github.com/google/autofdo/releases/tag/v0.30.1 (can also build
> from source).
>
> "<propeller_profile_prefix>" can be something like
> "/home/user/dir/any_string".
>
> This command generates a pair of Propeller profiles:
> "<propeller_profile_prefix>_cc_profile.txt" and
> "<propeller_profile_prefix>_ld_profile.txt".
>
> 6) Rebuild the kernel using the AutoFDO and Propeller profile files.
> CONFIG_AUTOFDO_CLANG=y
> CONFIG_PROPELLER_CLANG=y
> and
> $ make LLVM=1 CLANG_AUTOFDO_PROFILE=<autofdo_profile> \
> CLANG_PROPELLER_PROFILE_PREFIX=<propeller_profile_prefix>
>
> Co-developed-by: Han Shen <shenhan@...gle.com>
> Signed-off-by: Han Shen <shenhan@...gle.com>
> Signed-off-by: Rong Xu <xur@...gle.com>
> Suggested-by: Sriraman Tallam <tmsriram@...gle.com>
> Suggested-by: Krzysztof Pszeniczny <kpszeniczny@...gle.com>
> Suggested-by: Nick Desaulniers <ndesaulniers@...gle.com>
> Suggested-by: Stephane Eranian <eranian@...gle.com>
> Tested-by: Yonghong Song <yonghong.song@...ux.dev>
> Tested-by: Nathan Chancellor <nathan@...nel.org>
> Reviewed-by: Kees Cook <kees@...nel.org>
> ---
> Documentation/dev-tools/index.rst | 1 +
> Documentation/dev-tools/propeller.rst | 162 ++++++++++++++++++++++++++
> MAINTAINERS | 7 ++
> Makefile | 1 +
> arch/Kconfig | 19 +++
> arch/x86/Kconfig | 1 +
> arch/x86/kernel/vmlinux.lds.S | 4 +
> include/asm-generic/vmlinux.lds.h | 6 +-
> scripts/Makefile.lib | 10 ++
> scripts/Makefile.propeller | 28 +++++
> tools/objtool/check.c | 1 +
> 11 files changed, 237 insertions(+), 3 deletions(-)
> create mode 100644 Documentation/dev-tools/propeller.rst
> create mode 100644 scripts/Makefile.propeller
>
> diff --git a/Documentation/dev-tools/index.rst b/Documentation/dev-tools/index.rst
> index 6945644f7008a..3c0ac08b27091 100644
> --- a/Documentation/dev-tools/index.rst
> +++ b/Documentation/dev-tools/index.rst
> @@ -35,6 +35,7 @@ Documentation/dev-tools/testing-overview.rst
> checkuapi
> gpio-sloppy-logic-analyzer
> autofdo
> + propeller
>
>
> .. only:: subproject and html
> diff --git a/Documentation/dev-tools/propeller.rst b/Documentation/dev-tools/propeller.rst
> new file mode 100644
> index 0000000000000..92195958e3dbc
> --- /dev/null
> +++ b/Documentation/dev-tools/propeller.rst
> @@ -0,0 +1,162 @@
> +.. SPDX-License-Identifier: GPL-2.0
> +
> +=====================================
> +Using Propeller with the Linux kernel
> +=====================================
> +
> +This enables Propeller build support for the kernel when using Clang
> +compiler. Propeller is a profile-guided optimization (PGO) method used
> +to optimize binary executables. Like AutoFDO, it utilizes hardware
> +sampling to gather information about the frequency of execution of
> +different code paths within a binary. Unlike AutoFDO, this information
> +is then used right before linking phase to optimize (among others)
> +block layout within and across functions.
> +
> +A few important notes about adopting Propeller optimization:
> +
> +#. Although it can be used as a standalone optimization step, it is
> + strongly recommended to apply Propeller on top of AutoFDO,
> + AutoFDO+ThinLTO or Instrument FDO. The rest of this document
> + assumes this paradigm.
> +
> +#. Propeller uses another round of profiling on top of
> + AutoFDO/AutoFDO+ThinLTO/iFDO. The whole build process involves
> + "build-afdo - train-afdo - build-propeller - train-propeller -
> + build-optimized".
> +
> +#. Propeller requires LLVM 19 release or later for Clang/Clang++
> + and the linker(ld.lld).
> +
> +#. In addition to LLVM toolchain, Propeller requires a profiling
> + conversion tool: https://github.com/google/autofdo with a release
> + after v0.30.1: https://github.com/google/autofdo/releases/tag/v0.30.1.
> +
> +The Propeller optimization process involves the following steps:
> +
> +#. Initial building: Build the AutoFDO or AutoFDO+ThinLTO binary as
> + you would normally do, but with a set of compile-time / link-time
> + flags, so that a special metadata section is created within the
> + kernel binary. The special section is only intend to be used by the
> + profiling tool, it is not part of the runtime image, nor does it
> + change kernel run time text sections.
> +
> +#. Profiling: The above kernel is then run with a representative
> + workload to gather execution frequency data. This data is collected
> + using hardware sampling, via perf. Propeller is most effective on
> + platforms supporting advanced PMU features like LBR on Intel
> + machines. This step is the same as profiling the kernel for AutoFDO
> + (the exact perf parameters can be different).
> +
> +#. Propeller profile generation: Perf output file is converted to a
> + pair of Propeller profiles via an offline tool.
> +
> +#. Optimized build: Build the AutoFDO or AutoFDO+ThinLTO optimized
> + binary as you would normally do, but with a compile-time /
> + link-time flag to pick up the Propeller compile time and link time
> + profiles. This build step uses 3 profiles - the AutoFDO profile,
> + the Propeller compile-time profile and the Propeller link-time
> + profile.
> +
> +#. Deployment: The optimized kernel binary is deployed and used
> + in production environments, providing improved performance
> + and reduced latency.
> +
> +Preparation
> +===========
> +
> +Configure the kernel with::
> +
> + CONFIG_AUTOFDO_CLANG=y
> + CONFIG_PROPELLER_CLANG=y
> +
> +Customization
> +=============
> +
> +The default CONFIG_PROPELLER_CLANG setting covers kernel space objects
> +for Propeller builds. One can, however, enable or disable Propeller build
> +for individual files and directories by adding a line similar to the
> +following to the respective kernel Makefile:
> +
> +- For enabling a single file (e.g. foo.o)::
> +
> + PROPELLER_PROFILE_foo.o := y
> +
> +- For enabling all files in one directory::
> +
> + PROPELLER_PROFILE := y
> +
> +- For disabling one file::
> +
> + PROPELLER_PROFILE_foo.o := n
> +
> +- For disabling all files in one directory::
> +
> + PROPELLER__PROFILE := n
> +
> +
> +Workflow
> +========
> +
> +Here is an example workflow for building an AutoFDO+Propeller kernel:
> +
> +1) Assuming an AutoFDO profile is already collected following
> + instructions in the AutoFDO document, build the kernel on the host
> + machine, with AutoFDO and Propeller build configs ::
> +
> + CONFIG_AUTOFDO_CLANG=y
> + CONFIG_PROPELLER_CLANG=y
> +
> + and ::
> +
> + $ make LLVM=1 CLANG_AUTOFDO_PROFILE=<autofdo-profile-name>
> +
> +2) Install the kernel on the test machine.
> +
> +3) Run the load tests. The '-c' option in perf specifies the sample
> + event period. We suggest using a suitable prime number, like 500009,
> + for this purpose.
> +
> + - For Intel platforms::
> +
> + $ perf record -e BR_INST_RETIRED.NEAR_TAKEN:k -a -N -b -c <count> -o <perf_file> -- <loadtest>
> +
> + - For AMD platforms::
> +
> + $ perf record --pfm-event RETIRED_TAKEN_BRANCH_INSTRUCTIONS:k -a -N -b -c <count> -o <perf_file> -- <loadtest>
> +
> + Note you can repeat the above steps to collect multiple <perf_file>s.
> +
> +4) (Optional) Download the raw perf file(s) to the host machine.
> +
> +5) Use the create_llvm_prof tool (https://github.com/google/autofdo) to
> + generate Propeller profile. ::
> +
> + $ create_llvm_prof --binary=<vmlinux> --profile=<perf_file>
> + --format=propeller --propeller_output_module_name
> + --out=<propeller_profile_prefix>_cc_profile.txt
> + --propeller_symorder=<propeller_profile_prefix>_ld_profile.txt
Prevously I am using perf-6.8.5-0.hs1.hsx.el9.x86_64 and it works fine.
Now in my system, the perf is upgraded to 6.12.gadc218676eef
[root@...hared7248.15.atn5 ~]# perf --version
perf version 6.12.gadc218676eef
and create_llvm_prof does not work any more.
The command to collect sampling data:
# perf record -e BR_INST_RETIRED.NEAR_TAKEN:k -a -N -b -c 500009 -- stress --cpu 36 --io 36 --vm 36 --vm-bytes 128M --timeout 300s
stress: info: [536354] dispatching hogs: 36 cpu, 36 io, 36 vm, 0 hdd
stress: info: [536354] successful run completed in 300s
[ perf record: Woken up 2210 times to write data ]
[ perf record: Captured and wrote 562.529 MB perf.data (701971 samples) ]
# uname -r
6.11.1-0_fbk0_lto_rc19_612_gb572dfac1b39
The kernel is a 6.11 lto kernel.
I then run the following command:
$ cat ../run.sh
# perf record -e BR_INST_RETIRED.NEAR_TAKEN:k -a -N -b -c 500009 \
# -- stress --cpu 36 --io 36 --vm 36 --vm-bytes 128M --timeout 300s
# good: perf-6.8.5-0.hs1.hsx.el9.x86_64
# <propeller_profile_prefix>: /tmp/propeller
./create_llvm_prof --binary=vmlinux-6.11.1-0_fbk0_lto_rc19_612_gb572dfac1b39 \
--profile=perf.data \
--format=propeller --propeller_output_module_name \
--out=/tmp/propeller_cc_profile.txt \
--propeller_symorder=/tmp/propeller_ld_profile.txt
$ ./run.sh
WARNING: Logging before InitGoogleLogging() is written to STDERR
I20241212 13:12:18.401772 463318 llvm_propeller_binary_content.cc:376] 'vmlinux-6.11.1-0_fbk0_lto_rc19_612_gb572dfac1b39' is PIE: 0
I20241212 13:12:18.403692 463318 llvm_propeller_binary_content.cc:380] 'vmlinux-6.11.1-0_fbk0_lto_rc19_612_gb572dfac1b39' is relocatable: 0
I20241212 13:12:18.404873 463318 llvm_propeller_binary_content.cc:388] Build Id found in 'vmlinux-6.11.1-0_fbk0_lto_rc19_612_gb572dfac1b39': eaacd5a14abc48cf832b3ad0fa6c64635ab569a8
I20241212 13:12:18.521499 463318 llvm_propeller_binary_content.cc:376] 'vmlinux-6.11.1-0_fbk0_lto_rc19_612_gb572dfac1b39' is PIE: 0
I20241212 13:12:18.521530 463318 llvm_propeller_binary_content.cc:380] 'vmlinux-6.11.1-0_fbk0_lto_rc19_612_gb572dfac1b39' is relocatable: 0
I20241212 13:12:18.521553 463318 llvm_propeller_binary_content.cc:388] Build Id found in 'vmlinux-6.11.1-0_fbk0_lto_rc19_612_gb572dfac1b39': eaacd5a14abc48cf832b3ad0fa6c64635ab569a8
I20241212 13:12:18.521611 463318 llvm_propeller_perf_lbr_aggregator.cc:51] Parsing [1/1] perf.data ...
[ERROR:/home/runner/work/autofdo/autofdo/third_party/perf_data_converter/src/quipper/perf_reader.cc:1386] Event size 132 after uint64_t alignment of the filename length is greater than event size 128 reported by perf for the buildid event of type 0
W20241212 13:12:18.521708 463318 llvm_propeller_perf_lbr_aggregator.cc:55] Skipped profile [1/1] perf.data: FAILED_PRECONDITION: Failed to read perf data file: [1/1] perf.data
W20241212 13:12:18.521718 463318 llvm_propeller_perf_lbr_aggregator.cc:67] Too few branch records in perf data.
E20241212 13:12:18.554437 463318 create_llvm_prof.cc:238] FAILED_PRECONDITION: No perf file is parsed, cannot proceed.
Could you help take a look why perf 12 does not work with create_llvm_prof?
The create_llvm_prof is downloaded from https://github.com/google/autofdo/releases/tag/v0.30.1.
> +
> + "<propeller_profile_prefix>" can be something like "/home/user/dir/any_string".
> +
> + This command generates a pair of Propeller profiles:
> + "<propeller_profile_prefix>_cc_profile.txt" and
> + "<propeller_profile_prefix>_ld_profile.txt".
> +
> + If there are more than 1 perf_file collected in the previous step,
> + you can create a temp list file "<perf_file_list>" with each line
> + containing one perf file name and run::
> +
> + $ create_llvm_prof --binary=<vmlinux> --profile=@<perf_file_list>
> + --format=propeller --propeller_output_module_name
> + --out=<propeller_profile_prefix>_cc_profile.txt
> + --propeller_symorder=<propeller_profile_prefix>_ld_profile.txt
> +
> +6) Rebuild the kernel using the AutoFDO and Propeller
> + profiles. ::
> +
> + CONFIG_AUTOFDO_CLANG=y
> + CONFIG_PROPELLER_CLANG=y
> +
> + and ::
> +
> + $ make LLVM=1 CLANG_AUTOFDO_PROFILE=<profile_file> CLANG_PROPELLER_PROFILE_PREFIX=<propeller_profile_prefix>
> diff --git a/MAINTAINERS b/MAINTAINERS
> index d6ea49433747a..42e3af0791e15 100644
> --- a/MAINTAINERS
> +++ b/MAINTAINERS
> @@ -18449,6 +18449,13 @@ S: Maintained
> F: include/linux/psi*
> F: kernel/sched/psi.c
>
[...]
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