third_party/llvm-project/clang/docs/ThinLTO.rst - cobalt - Git at Google

 =======
 ThinLTO
 =======

 .. contents::
    :local:

 Introduction
 ============

 *ThinLTO* compilation is a new type of LTO that is both scalable and
 incremental. *LTO* (Link Time Optimization) achieves better
 runtime performance through whole-program analysis and cross-module
 optimization. However, monolithic LTO implements this by merging all
 input into a single module, which is not scalable
 in time or memory, and also prevents fast incremental compiles.

 In ThinLTO mode, as with regular LTO, clang emits LLVM bitcode after the
 compile phase. The ThinLTO bitcode is augmented with a compact summary
 of the module. During the link step, only the summaries are read and
 merged into a combined summary index, which includes an index of function
 locations for later cross-module function importing. Fast and efficient
 whole-program analysis is then performed on the combined summary index.

 However, all transformations, including function importing, occur
 later when the modules are optimized in fully parallel backends.
 By default, linkers_ that support ThinLTO are set up to launch
 the ThinLTO backends in threads. So the usage model is not affected
 as the distinction between the fast serial thin link step and the backends
 is transparent to the user.

 For more information on the ThinLTO design and current performance,
 see the LLVM blog post `ThinLTO: Scalable and Incremental LTO
 <http://blog.llvm.org/2016/06/thinlto-scalable-and-incremental-lto.html>`_.
 While tuning is still in progress, results in the blog post show that
 ThinLTO already performs well compared to LTO, in many cases matching
 the performance improvement.

 Current Status
 ==============

 Clang/LLVM
 ----------
 .. _compiler:

 The 3.9 release of clang includes ThinLTO support. However, ThinLTO
 is under active development, and new features, improvements and bugfixes
 are being added for the next release. For the latest ThinLTO support,
 `build a recent version of clang and LLVM
 <http://llvm.org/docs/CMake.html>`_.

 Linkers
 -------
 .. _linkers:
 .. _linker:

 ThinLTO is currently supported for the following linkers:

 - **gold (via the gold-plugin)**:
   Similar to monolithic LTO, this requires using
   a `gold linker configured with plugins enabled
   <http://llvm.org/docs/GoldPlugin.html>`_.
 - **ld64**:
   Starting with `Xcode 8 <https://developer.apple.com/xcode/>`_.
 - **lld**:
   Starting with r284050 for ELF, r298942 for COFF.

 Usage
 =====

 Basic
 -----

 To utilize ThinLTO, simply add the -flto=thin option to compile and link. E.g.

 .. code-block:: console

   % clang -flto=thin -O2 file1.c file2.c -c
   % clang -flto=thin -O2 file1.o file2.o -o a.out

 When using lld-link, the -flto option need only be added to the compile step:

 .. code-block:: console

   % clang-cl -flto=thin -O2 -c file1.c file2.c
   % lld-link /out:a.exe file1.obj file2.obj

 As mentioned earlier, by default the linkers will launch the ThinLTO backend
 threads in parallel, passing the resulting native object files back to the
 linker for the final native link.  As such, the usage model the same as
 non-LTO.

 With gold, if you see an error during the link of the form:

 .. code-block:: console

   /usr/bin/ld: error: /path/to/clang/bin/../lib/LLVMgold.so: could not load plugin library: /path/to/clang/bin/../lib/LLVMgold.so: cannot open shared object file: No such file or directory

 Then either gold was not configured with plugins enabled, or clang
 was not built with ``-DLLVM_BINUTILS_INCDIR`` set properly. See
 the instructions for the
 `LLVM gold plugin <http://llvm.org/docs/GoldPlugin.html#how-to-build-it>`_.

 Controlling Backend Parallelism
 -------------------------------
 .. _parallelism:

 By default, the ThinLTO link step will launch up to
 ``std::thread::hardware_concurrency`` number of threads in parallel.
 For machines with hyper-threading, this is the total number of
 virtual cores. For some applications and machine configurations this
 may be too aggressive, in which case the amount of parallelism can
 be reduced to ``N`` via:

 - gold:
   ``-Wl,-plugin-opt,jobs=N``
 - ld64:
   ``-Wl,-mllvm,-threads=N``
 - lld:
   ``-Wl,--thinlto-jobs=N``
 - lld-link:
   ``/opt:lldltojobs=N``

 Incremental
 -----------
 .. _incremental:

 ThinLTO supports fast incremental builds through the use of a cache,
 which currently must be enabled through a linker option.

 - gold (as of LLVM 4.0):
   ``-Wl,-plugin-opt,cache-dir=/path/to/cache``
 - ld64 (support in clang 3.9 and Xcode 8):
   ``-Wl,-cache_path_lto,/path/to/cache``
 - ELF lld (as of LLVM 5.0):
   ``-Wl,--thinlto-cache-dir=/path/to/cache``
 - COFF lld-link (as of LLVM 6.0):
   ``/lldltocache:/path/to/cache``

 Cache Pruning
 -------------

 To help keep the size of the cache under control, ThinLTO supports cache
 pruning. Cache pruning is supported with gold, ld64 and ELF and COFF lld, but
 currently only gold, ELF and COFF lld allow you to control the policy with a
 policy string. The cache policy must be specified with a linker option.

 - gold (as of LLVM 6.0):
   ``-Wl,-plugin-opt,cache-policy=POLICY``
 - ELF lld (as of LLVM 5.0):
   ``-Wl,--thinlto-cache-policy,POLICY``
 - COFF lld-link (as of LLVM 6.0):
   ``/lldltocachepolicy:POLICY``

 A policy string is a series of key-value pairs separated by ``:`` characters.
 Possible key-value pairs are:

 - ``cache_size=X%``: The maximum size for the cache directory is ``X`` percent
   of the available space on the disk. Set to 100 to indicate no limit,
   50 to indicate that the cache size will not be left over half the available
   disk space. A value over 100 is invalid. A value of 0 disables the percentage
   size-based pruning. The default is 75%.

 - ``cache_size_bytes=X``, ``cache_size_bytes=Xk``, ``cache_size_bytes=Xm``,
   ``cache_size_bytes=Xg``:
   Sets the maximum size for the cache directory to ``X`` bytes (or KB, MB,
   GB respectively). A value over the amount of available space on the disk
   will be reduced to the amount of available space. A value of 0 disables
   the byte size-based pruning. The default is no byte size-based pruning.

   Note that ThinLTO will apply both size-based pruning policies simultaneously,
   and changing one does not affect the other. For example, a policy of
   ``cache_size_bytes=1g`` on its own will cause both the 1GB and default 75%
   policies to be applied unless the default ``cache_size`` is overridden.

 - ``cache_size_files=X``:
   Set the maximum number of files in the cache directory. Set to 0 to indicate
   no limit. The default is 1000000 files.

 - ``prune_after=Xs``, ``prune_after=Xm``, ``prune_after=Xh``: Sets the
   expiration time for cache files to ``X`` seconds (or minutes, hours
   respectively).  When a file hasn't been accessed for ``prune_after`` seconds,
   it is removed from the cache. A value of 0 disables the expiration-based
   pruning. The default is 1 week.

 - ``prune_interval=Xs``, ``prune_interval=Xm``, ``prune_interval=Xh``:
   Sets the pruning interval to ``X`` seconds (or minutes, hours
   respectively). This is intended to be used to avoid scanning the directory
   too often. It does not impact the decision of which files to prune. A
   value of 0 forces the scan to occur. The default is every 20 minutes.

 Clang Bootstrap
 ---------------

 To bootstrap clang/LLVM with ThinLTO, follow these steps:

 1. The host compiler_ must be a version of clang that supports ThinLTO.
 #. The host linker_ must support ThinLTO (and in the case of gold, must be
    `configured with plugins enabled <http://llvm.org/docs/GoldPlugin.html>`_.
 #. Use the following additional `CMake variables
    <http://llvm.org/docs/CMake.html#options-and-variables>`_
    when configuring the bootstrap compiler build:

   * ``-DLLVM_ENABLE_LTO=Thin``
   * ``-DCMAKE_C_COMPILER=/path/to/host/clang``
   * ``-DCMAKE_CXX_COMPILER=/path/to/host/clang++``
   * ``-DCMAKE_RANLIB=/path/to/host/llvm-ranlib``
   * ``-DCMAKE_AR=/path/to/host/llvm-ar``

   Or, on Windows:

   * ``-DLLVM_ENABLE_LTO=Thin``
   * ``-DCMAKE_C_COMPILER=/path/to/host/clang-cl.exe``
   * ``-DCMAKE_CXX_COMPILER=/path/to/host/clang-cl.exe``
   * ``-DCMAKE_LINKER=/path/to/host/lld-link.exe``
   * ``-DCMAKE_RANLIB=/path/to/host/llvm-ranlib.exe``
   * ``-DCMAKE_AR=/path/to/host/llvm-ar.exe``

 #. To use additional linker arguments for controlling the backend
    parallelism_ or enabling incremental_ builds of the bootstrap compiler,
    after configuring the build, modify the resulting CMakeCache.txt file in the
    build directory. Specify any additional linker options after
    ``CMAKE_EXE_LINKER_FLAGS:STRING=``. Note the configure may fail if
    linker plugin options are instead specified directly in the previous step.

 More Information
 ================

 * From LLVM project blog:
   `ThinLTO: Scalable and Incremental LTO
   <http://blog.llvm.org/2016/06/thinlto-scalable-and-incremental-lto.html>`_
	=======
	ThinLTO
	=======

	.. contents::
	:local:

	Introduction
	============

	ThinLTO compilation is a new type of LTO that is both scalable and
	incremental. LTO (Link Time Optimization) achieves better
	runtime performance through whole-program analysis and cross-module
	optimization. However, monolithic LTO implements this by merging all
	input into a single module, which is not scalable
	in time or memory, and also prevents fast incremental compiles.

	In ThinLTO mode, as with regular LTO, clang emits LLVM bitcode after the
	compile phase. The ThinLTO bitcode is augmented with a compact summary
	of the module. During the link step, only the summaries are read and
	merged into a combined summary index, which includes an index of function
	locations for later cross-module function importing. Fast and efficient
	whole-program analysis is then performed on the combined summary index.

	However, all transformations, including function importing, occur
	later when the modules are optimized in fully parallel backends.
	By default, linkers_ that support ThinLTO are set up to launch
	the ThinLTO backends in threads. So the usage model is not affected
	as the distinction between the fast serial thin link step and the backends
	is transparent to the user.

	For more information on the ThinLTO design and current performance,
	see the LLVM blog post `ThinLTO: Scalable and Incremental LTO
	<http://blog.llvm.org/2016/06/thinlto-scalable-and-incremental-lto.html>`_.
	While tuning is still in progress, results in the blog post show that
	ThinLTO already performs well compared to LTO, in many cases matching
	the performance improvement.

	Current Status
	==============

	Clang/LLVM
	----------
	.. _compiler:

	The 3.9 release of clang includes ThinLTO support. However, ThinLTO
	is under active development, and new features, improvements and bugfixes
	are being added for the next release. For the latest ThinLTO support,
	`build a recent version of clang and LLVM
	<http://llvm.org/docs/CMake.html>`_.

	Linkers
	-------
	.. _linkers:
	.. _linker:

	ThinLTO is currently supported for the following linkers:

	- gold (via the gold-plugin):
	Similar to monolithic LTO, this requires using
	a `gold linker configured with plugins enabled
	<http://llvm.org/docs/GoldPlugin.html>`_.
	- ld64:
	Starting with `Xcode 8 <https://developer.apple.com/xcode/>`_.
	- lld:
	Starting with r284050 for ELF, r298942 for COFF.

	Usage
	=====

	Basic
	-----

	To utilize ThinLTO, simply add the -flto=thin option to compile and link. E.g.

	.. code-block:: console

	% clang -flto=thin -O2 file1.c file2.c -c
	% clang -flto=thin -O2 file1.o file2.o -o a.out

	When using lld-link, the -flto option need only be added to the compile step:

	.. code-block:: console

	% clang-cl -flto=thin -O2 -c file1.c file2.c
	% lld-link /out:a.exe file1.obj file2.obj

	As mentioned earlier, by default the linkers will launch the ThinLTO backend
	threads in parallel, passing the resulting native object files back to the
	linker for the final native link. As such, the usage model the same as
	non-LTO.

	With gold, if you see an error during the link of the form:

	.. code-block:: console

	/usr/bin/ld: error: /path/to/clang/bin/../lib/LLVMgold.so: could not load plugin library: /path/to/clang/bin/../lib/LLVMgold.so: cannot open shared object file: No such file or directory

	Then either gold was not configured with plugins enabled, or clang
	was not built with ``-DLLVM_BINUTILS_INCDIR`` set properly. See
	the instructions for the
	`LLVM gold plugin <http://llvm.org/docs/GoldPlugin.html#how-to-build-it>`_.

	Controlling Backend Parallelism
	-------------------------------
	.. _parallelism:

	By default, the ThinLTO link step will launch up to
	``std::thread::hardware_concurrency`` number of threads in parallel.
	For machines with hyper-threading, this is the total number of
	virtual cores. For some applications and machine configurations this
	may be too aggressive, in which case the amount of parallelism can
	be reduced to ``N`` via:

	- gold:
	``-Wl,-plugin-opt,jobs=N``
	- ld64:
	``-Wl,-mllvm,-threads=N``
	- lld:
	``-Wl,--thinlto-jobs=N``
	- lld-link:
	``/opt:lldltojobs=N``

	Incremental
	-----------
	.. _incremental:

	ThinLTO supports fast incremental builds through the use of a cache,
	which currently must be enabled through a linker option.

	- gold (as of LLVM 4.0):
	``-Wl,-plugin-opt,cache-dir=/path/to/cache``
	- ld64 (support in clang 3.9 and Xcode 8):
	``-Wl,-cache_path_lto,/path/to/cache``
	- ELF lld (as of LLVM 5.0):
	``-Wl,--thinlto-cache-dir=/path/to/cache``
	- COFF lld-link (as of LLVM 6.0):
	``/lldltocache:/path/to/cache``

	Cache Pruning
	-------------

	To help keep the size of the cache under control, ThinLTO supports cache
	pruning. Cache pruning is supported with gold, ld64 and ELF and COFF lld, but
	currently only gold, ELF and COFF lld allow you to control the policy with a
	policy string. The cache policy must be specified with a linker option.

	- gold (as of LLVM 6.0):
	``-Wl,-plugin-opt,cache-policy=POLICY``
	- ELF lld (as of LLVM 5.0):
	``-Wl,--thinlto-cache-policy,POLICY``
	- COFF lld-link (as of LLVM 6.0):
	``/lldltocachepolicy:POLICY``

	A policy string is a series of key-value pairs separated by ``:`` characters.
	Possible key-value pairs are:

	- ``cache_size=X%``: The maximum size for the cache directory is ``X`` percent
	of the available space on the disk. Set to 100 to indicate no limit,
	50 to indicate that the cache size will not be left over half the available
	disk space. A value over 100 is invalid. A value of 0 disables the percentage
	size-based pruning. The default is 75%.

	- ``cache_size_bytes=X``, ``cache_size_bytes=Xk``, ``cache_size_bytes=Xm``,
	``cache_size_bytes=Xg``:
	Sets the maximum size for the cache directory to ``X`` bytes (or KB, MB,
	GB respectively). A value over the amount of available space on the disk
	will be reduced to the amount of available space. A value of 0 disables
	the byte size-based pruning. The default is no byte size-based pruning.

	Note that ThinLTO will apply both size-based pruning policies simultaneously,
	and changing one does not affect the other. For example, a policy of
	``cache_size_bytes=1g`` on its own will cause both the 1GB and default 75%
	policies to be applied unless the default ``cache_size`` is overridden.

	- ``cache_size_files=X``:
	Set the maximum number of files in the cache directory. Set to 0 to indicate
	no limit. The default is 1000000 files.

	- ``prune_after=Xs``, ``prune_after=Xm``, ``prune_after=Xh``: Sets the
	expiration time for cache files to ``X`` seconds (or minutes, hours
	respectively). When a file hasn't been accessed for ``prune_after`` seconds,
	it is removed from the cache. A value of 0 disables the expiration-based
	pruning. The default is 1 week.

	- ``prune_interval=Xs``, ``prune_interval=Xm``, ``prune_interval=Xh``:
	Sets the pruning interval to ``X`` seconds (or minutes, hours
	respectively). This is intended to be used to avoid scanning the directory
	too often. It does not impact the decision of which files to prune. A
	value of 0 forces the scan to occur. The default is every 20 minutes.

	Clang Bootstrap
	---------------

	To bootstrap clang/LLVM with ThinLTO, follow these steps:

	1. The host compiler_ must be a version of clang that supports ThinLTO.
	#. The host linker_ must support ThinLTO (and in the case of gold, must be
	`configured with plugins enabled <http://llvm.org/docs/GoldPlugin.html>`_.
	#. Use the following additional `CMake variables
	<http://llvm.org/docs/CMake.html#options-and-variables>`_
	when configuring the bootstrap compiler build:

	* ``-DLLVM_ENABLE_LTO=Thin``
	* ``-DCMAKE_C_COMPILER=/path/to/host/clang``
	* ``-DCMAKE_CXX_COMPILER=/path/to/host/clang++``
	* ``-DCMAKE_RANLIB=/path/to/host/llvm-ranlib``
	* ``-DCMAKE_AR=/path/to/host/llvm-ar``

	Or, on Windows:

	* ``-DLLVM_ENABLE_LTO=Thin``
	* ``-DCMAKE_C_COMPILER=/path/to/host/clang-cl.exe``
	* ``-DCMAKE_CXX_COMPILER=/path/to/host/clang-cl.exe``
	* ``-DCMAKE_LINKER=/path/to/host/lld-link.exe``
	* ``-DCMAKE_RANLIB=/path/to/host/llvm-ranlib.exe``
	* ``-DCMAKE_AR=/path/to/host/llvm-ar.exe``

	#. To use additional linker arguments for controlling the backend
	parallelism_ or enabling incremental_ builds of the bootstrap compiler,
	after configuring the build, modify the resulting CMakeCache.txt file in the
	build directory. Specify any additional linker options after
	``CMAKE_EXE_LINKER_FLAGS:STRING=``. Note the configure may fail if
	linker plugin options are instead specified directly in the previous step.

	More Information
	================

	* From LLVM project blog:
	`ThinLTO: Scalable and Incremental LTO
	<http://blog.llvm.org/2016/06/thinlto-scalable-and-incremental-lto.html>`_