# ThinLTO¶

## 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. 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¶

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.

ThinLTO is currently supported for the following linkers:

## Usage¶

### Basic¶

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

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


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:

/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.

### Controlling Backend 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
• lld: -Wl,--thinlto-jobs=N

### 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 r279883): -Wl,-plugin-opt,cache-dir=/path/to/cache
• ld64 (support in clang 3.9 and Xcode 8): -Wl,-cache_path_lto,/path/to/cache

### Clang Bootstrap¶

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

1. The host compiler must be a version of clang that supports ThinLTO.
2. The host linker must support ThinLTO (and in the case of gold, must be configured with plugins enabled.
3. Use the following additional CMake variables when configuring the bootstrap compiler build:
• -DLLVM_ENABLE_LTO=Thin