Integrated Distributed ThinLTO (DTLTO): Design Overview #126654

bd1976bris · 2025-02-11T02:34:57Z

Initial DTLTO Support

This PR introduces initial support for Integrated Distributed ThinLTO (DTLTO). DTLTO was previously discussed in an RFC and during the LTO roundtable discussion at the October US 2024 LLVM conference. PlayStation has offered this feature as a proprietary technology for some time, and we would like to see support in LLVM.

Overview of DTLTO

DTLTO enables the distribution of backend ThinLTO compilations via external distribution systems, such as Incredibuild. Existing support for distributing ThinLTO compilations typically involves separate thin-link (--thinlto-index-only), backend compilation, and link steps coordinated by a modern build system, like Bazel. This "Bazel-style" distributed ThinLTO requires a modern build system as it must handle the dynamic dependencies specified in the summary index file shards. However, adopting a modern build system can be prohibitive for users with established build infrastructure.

In contrast, DTLTO manages distribution within LLVM during the traditional link step. This approach means that DTLTO is usable with any build process that supports in-process ThinLTO.

Documentation and Resources

RFC: Integrated Distributed ThinLTO RFC
Documentation:
- Feature documentation added in this PR at llvm/docs/dtlto.rst.
- Clang and LLD CLI documentation added at clang/docs/dtlto.rst and lld/docs/dtlto.rst.
Example Distributors: Included distributors for LIT testing added under llvm/utils/dtlto.
Real Distribution System Support: Example scripts which work with real distribution systems are available for Windows and Linux.

Features of This Initial Commit

This commit provides a minimal but functional implementation of DTLTO, which will be expanded in subsequent commits. The current implementation includes:

COFF and ELF support.
Support for bitcode members in thin archives.
Basic support for distributing backend ThinLTO compilations.
A JSON interface that allows new distribution systems to be supported without modifying LLVM.

The goal of this initial commit is to demonstrate what will be required to support DTLTO while providing useful minimal functionality. Hopefully, having a concrete PR will facilitate discussion and review of the feature.

Performance

We have access to a large farm of computers on Windows. For a link of clang.exe on a modest Windows development machine (AMD64 16 cores, 64GB RAM) DTLTO (via sn-dbs.py) was approximately 4 times as fast as multi-threaded in-process ThinLTO.

To estimate the overhead from DTLTO vs in-process ThinLTO, we measured the difference in the time taken to link Clang with in-process ThinLTO using one thread per core, and DTLTO using one local process per core. On both Windows and Linux the overhead was approximately 6%.

Note that, to facilitate review, this PR elides performance optimizations where possible.

Planned Future Enhancements

The following features will be addressed in future commits:

Support for the ThinLTO cache.
Support for (non-thin) archives/libraries containing bitcode members.
Support for more LTO configuration states e.g., basic block sections.
Performance improvements. For example, improving the performance of the temporary file removal.

Discussion Points

Feature Name: The DTLTO name could potentially cause confusion with the existing Bazel-style distributed ThinLTO. At the LLVM roundtable discussion no one objected to the name, but we remain open to suggestions.
Backend Compilation Configuration: Currently, Clang is invoked to do the backend compilations and a minimal number of options are added to the Clang command line to ensure that the codegen is reasonable (for the testing we have done so far). However, it would be good to find a scalable solution for matching the code-generation state in the invoked external tool to the code-generation state if an in-process ThinLTO backend was in use.
Clang Error Handling: There is some precedent for compiler drivers handling options that only apply to specific linkers. Should Clang emit an error if DTLTO options are used and the linker isn't LLD?

Other approaches

We have experimented with other approaches for implementing DTLTO. In particular we have explored:

Not using a new ThinLTO backend.
Various ways to handle (non-thin) archives.
Use of dynamic library plugins instead of processes.

We have prepared another branch to demonstrate some of these ideas: integrated-DTLTO-no-backend

List of Child PRs:

(I intend to update this section as new PRs are filed.)

✅ Core LLVM functionality – PR [DTLTO][LLVM] Integrated Distributed ThinLTO (DTLTO) #127749 (merged)
🔄 ELF LLD support – PR [DTLTO][LLD][ELF] Add support for Integrated Distributed ThinLTO #142757 (in review)

github-actions · 2025-02-11T02:38:17Z

✅ With the latest revision this PR passed the C/C++ code formatter.

bd1976bris · 2025-02-11T02:49:24Z

⚠️ C/C++ code formatter, clang-format found issues in your code. ⚠️

You can test this locally with the following command:
View the diff from clang-format here.

I believe this failure is OK as I have followed the (non-standard) formatting in the flagged file which the code for the other ThinLTO backends use.

MaskRay · 2025-02-23T23:29:58Z

llvm/lib/LTO/LTO.cpp

+    sys::path::append(ObjFilePath, sys::path::stem(ModulePath) + "." +
+                                       itostr(Task) + "." + UID + ".native.o");
+
+    Job &J = Jobs[Task - 1]; /*Task 0 is reserved*/


IIUC - 1 => - RegularLTO.ParallelCodeGenParallelismLevel

Yes - I broke this for more than one LTO partition whilst hastily simplifying things. Thanks! Fixed now.

MaskRay · 2025-02-23T23:39:11Z

llvm/lib/LTO/LTO.cpp

+
+        // Common command line template.
+        JOS.attributeArray("args", [&]() {
+          JOS.value(RemoteOptTool);


I was confused by the name--thinlto-remote-opt-tool=. This is actually clang, not opt. Perhaps thinlto-remote-compiler or thinlto-remote-compile-tool (long) or thinlto-remote-cc (shortest)?

+ Args.MakeArgString("--thinlto-remote-opt-tool=" + + Twine(ToolChain.getDriver().getClangProgramPath())));

Would you accept thinlto-remote-codegen-tool? This is so that the option name doesn't imply that the invoked tool is a compiler. One of the possibilities that we might want to explore is invoking LLD to do the backend compilations on the remote machines. Please see: #126654 (comment).

After discussion on the linked comment thread I have adopted your suggestion of --thinlto-remote-compiler.

MaskRay · 2025-02-23T23:43:11Z

clang/lib/Driver/ToolChains/Gnu.cpp

+                           Twine(ToolChain.getDriver().getClangProgramPath())));
+
+    for (auto A : Args.getAllArgValues(options::OPT_Xthinlto_distributor_EQ))
+      CmdArgs.push_back(Args.MakeArgString("-mllvm=-thinlto-distributor-arg=" + A));


I am curious why we don't use a regular linker option. In lld, you could use getStrings to read a list option, e.g.

ctx.arg.passPlugins = args::getStrings(args, OPT_load_pass_plugins)

However, introducing a new linker option requires changes to all lld ports and llvm-lto. Therefore, perhaps make --thinlto-remote-opt-tool a cl::opt tool as well?

As you already worked out I used cl::opt options to minimize the changes to LLD ports and llvm-lto. The syntax is verbose, but LLD is usually invoked via the compiler driver so the verbose syntax is not exposed. I'm happy to use a cl::opt for this. However, I would like to retain a retain the LLD option for the COFF port where LLD is often invoked directly. Does that sound ok?

Having looked at this again I think your suggestion of making --thinlto-remote-opt-tool a cl::opt tool makes sense. I have updated the code to match. Please take a look.

MaskRay · 2025-02-23T23:59:51Z

lld/ELF/InputFiles.cpp

+
+// Compute a thin archive member full file path.
+static std::string
+computeThinArchiveMemberFullPath(const StringRef modulePath,


If two new functions can be combined. Perhaps name the new one dtltoGetMemberPathIfThinArchive. What if it a non-thin archive? Shall we create a temporary file?

if (!ctx.arg.dtltoDistributor.empty() && !archiveName.empty()) path = dtltoGetMemberPathIfThinArchive(...)

If two new functions can be combined. Perhaps name the new one dtltoGetMemberPathIfThinArchive.

if (!ctx.arg.dtltoDistributor.empty() && !archiveName.empty()) path = dtltoGetMemberPathIfThinArchive(...)

I believe the simplification suggestions are viable. I also think that I can remove the this->mb = mbref; line (and its accompanying extensive comment), since that was only necessary for emitting empty summary index files - which we don't need for DTLTO.

I'm also not comfortable with isThinArchive relying on checking the magic number at the start of the archive file to determine if it is a thin archive. I'm considering recording the archive type somewhere (perhaps in InputFile) so that this check becomes unnecessary. I'll test these improvements and put them up tomorrow.

What if it a non-thin archive? Shall we create a temporary file?

Non-thin archives with bitcode members are important for PlayStation. A reasonable implementation would be to emit a temporary file into a cache (since libraries are often external to a project and rarely modified) and use that temporary file for DTLTO. Currently, the buffer identifier assigned here is used eventually as the ModulePath stored in the summary index. However, at this point we don't know which lazy bitcode files will actually be used by the link. Therefore, we would need to either:

Write out temporary files for all bitcode members of non-thin archives now, using the temporary file path as the buffer identifier, or write out temporary files later when a lazy bitcode file is used and added to the link. If we write out later, we would need to swap the identifier for LTO or add some remapping information to the LTO link so that the temporary file path is used for loading the bitcode file instead of the identifier assigned here.

At the LLVM conference there were also suggestions that we could teach Clang and the distribution systems to handle archives natively, perhaps even understanding identifiers such as foo.a(bar.o at 40).

It would be beneficial to implement a mechanism that could also be used by the existing Bazel-style distribution in case, in the future, there is a need to support bitcode members in archives for that.

For the initial commit, however, I would prefer to support thin archives only. non-thin archive support can be added in a later commit.

I have simplified the code as we discussed. I also record which archives are thin when files are added to the link in LinkerDriver::addFile and then pass this information into the BitcodeFile constructor. This removes the hack where I was reopening the archive files and checking the magic bytes to determine if they were thin. The implementation is much improved now. Thanks.

Now there are quite a few changes to Driver and InputFiles, which actually made me more nervous. Non-dtlto use cases now incur the overhead (not that they can't, but it's not necessary to introduce these changes for the linker option feature).

These changes might turn out to be unneeded when non-thin archives are supported.

Would be nice to restore the previous version but just improve the local code and check the thin magic only when --thinlto-distributor= is specified.

Done. Thanks.

MaskRay · 2025-02-24T00:00:42Z

lld/docs/DTLTO.rst

+  Specifies the file to execute as a distributor process.
+  If specified, ThinLTO backend compilations will be distributed.
+
+- ``--thinlto-remote-opt-tool=<path>``


Perhaps --thinlto-remote-compiler or --thinlto-remote-compile-tool. It's unlikely we will use the internal tool named opt

See: #126654 (comment).

Updated code to use thinlto-remote-compiler.

teresajohnson · 2025-02-24T15:26:05Z

Thanks for the heads up, so I should not do a detailed code review for PR127749? Is there more info on what you mean by a "no-backend DTLTO"?

Yes, I think for now it will be better to understand the design of the current code review that Ben submitted but not to do a detailed code review just yet. In a few days ago we will propose a new PR for a different implementation for integrated DTLTO, but without the use of "DTLTO backend". That's why we call it internally "no-backend DTLTO".

By "DTLTO backend" do you mean the new CGThinBackend class? Since that's a big part of the LLVM piece, I've kind of held off on reviewing for now since I'd like to compare the 2 approaches first and I'm not sure how much is changing.

- Remove linker version. - Make AddBuffer a default parameter for LTO::run() to minimize changes at call sites. - Format code with clang-format, even if it deviates slightly from the surrounding style. I decided that CI passing for the PRs was more important than matching the existing style. - Order distributor command-line options correctly. - Remove dead code in llvm-lto2.cpp. - Add docstrings to Python distributors. - Update the Python mock.py distributor to validate JSON. - Organize LLVM DTLTO tests by moving them into a dedicated "dtlto" directory, tidying existing tests and adding new ones. - Implement fix for more than one LTO partition (spotted by MaskRay).

- Combine new functions as suggested by MaskRay in review. - Remove code that worked around a crash that can no longer occur now that the implementation is structured as a new ThinLTO backend. - Record whether an archive was thin or not and pass this information into the BitcodeFile constructor. This replaces code that reopened the archive file and checked the archive magic.

romanova-ekaterina · 2025-02-26T11:09:39Z

Thanks for the heads up, so I should not do a detailed code review for PR127749? Is there more info on what you mean by a "no-backend DTLTO"?

Actually, please review whatever you would like to at this point, Theresa. I don't want to get in the way of hearing what you think - we're keen to your input. I just wanted to point out that since another branch is coming, you may wish to wait until it arrives if you think a side-by-side comparison would be a good way of doing things. To clarify: that other branch won't be put up as a pull request, but we can decide how to proceed here if the general design shown in that other branch is preferred. I also mentioned that it will appear in a few days, but that's really dependent on the results of some more internal review. We're working hard on it!

romanova-ekaterina · 2025-02-26T11:15:25Z

In a couple of days, we will submit an alternative PR with "no DTLTO backend" implementation. Though from the first sight it seems logical to use a separate DTLTO backend, we thought that "no DTLTO backend" implementation will be simpler, cleaner and more importantly, will leave a solid foundation for future important performance enhancements that are planning to add in the future. These performance enhancements will be impossible to implement within DTLTO backend.

Actually, we don't have any data to determine whether or not these ideas for performance enhancements translate into real world gains. So, let's perhaps revisit these in subsequent PRs, assuming we get something landed for starters, here.

- Remove mention of the, now removed, "Linker Version" stuff. - Remote optimization tool -> remote compiler.

bd1976bris · 2025-03-04T17:43:06Z

Hi Reviewers! Thanks for the feedback here. I wanted to draw attention to something that I mentioned briefly in the description - the possibility of a plugin interface as opposed to invoking an external process that consumes JSON.

There are some theoretical advantages with plugins. For example, if distribution systems exist/arise that allow data to be passed back and forth between LLVM and a distribution system using memory buffers instead of files, a plugin could perhaps do that more efficiently. But we haven't done anything yet to quantify how much better this would be vs implicitly leaning on e.g. memory mapped files and the OS file cache. The distribution systems we're motivated to support from customer demand don't have such capabilities at this time.

Does anyone have any opinions on this?

bd1976bris · 2025-03-05T19:39:21Z

Reviewers have suggested that smaller PRs be created to facilitate detailed reviews while keeping this one around to provide an overall picture and facilitate discussion of high-level design (see this ongoing discussion). I have created PR #127749 to collect detailed review comments for the parts related to LLVM and have added those who commented here as reviewers.
I will do my best to keep this PR up to date with suggestions from "child" PRs such as PR #127749.

Note that I have changed the name of this PR to indicate that it provides an overview of DTLTO to avoid confusion.

Thanks again for all your input!

romanova-ekaterina · 2025-03-16T09:01:35Z

Hi Reviewers! Thanks for the feedback here. I wanted to draw attention to something that I mentioned briefly in the description - the possibility of a plugin interface as opposed to invoking an external process that consumes JSON.

There are some theoretical advantages with plugins. For example, if distribution systems exist/arise that allow data to be passed back and forth between LLVM and a distribution system using memory buffers instead of files, a plugin could perhaps do that more efficiently. But we haven't done anything yet to quantify how much better this would be vs implicitly leaning on e.g. memory mapped files and the OS file cache. The distribution systems we're motivated to support from customer demand don't have such capabilities at this time.

Does anyone have any opinions on this?

The “No backend DTLTO” branch is ready. Please have a look and let us know what you think. https://github.com/romanova-ekaterina/llvm-project/pull/new/kromanova/main/integrated-DTLTO-no-backend

This comment #127749 (comment) has more details about the differences between “Out of process (DTLTO) backend” branch and “No backend” DTLTO branch.

romanova-ekaterina · 2025-03-16T09:02:26Z

Thanks for the heads up, so I should not do a detailed code review for PR127749? Is there more info on what you mean by a "no-backend DTLTO"?

Actually, please review whatever you would like to at this point, Theresa. I don't want to get in the way of hearing what you think - we're keen to your input. I just wanted to point out that since another branch is coming, you may wish to wait until it arrives if you think a side-by-side comparison would be a good way of doing things. To clarify: that other branch won't be put up as a pull request, but we can decide how to proceed here if the general design shown in that other branch is preferred. I also mentioned that it will appear in a few days, but that's really dependent on the results of some more internal review. We're working hard on it!

The “No backend DTLTO” branch is ready. Please have a look and let us know what you think. https://github.com/romanova-ekaterina/llvm-project/pull/new/kromanova/main/integrated-DTLTO-no-backend

This comment #127749 (comment) has more details about the differences between “Out of process (DTLTO) backend” branch and “No backend” DTLTO branch.

This patch introduces initial support for Integrated Distributed ThinLTO (DTLTO) in LLVM. DTLTO enables distribution of backend ThinLTO compilation jobs via external distribution systems, such as Incredibuild. The existing support for distributing ThinLTO compilations uses separate thin-link (--thinlto-index-only), backend compilation, and link steps coordinated by a modern build system, like Bazel. This "Bazel-style" distributed ThinLTO requires a modern build system to manage dynamically discovered dependencies specified in the summary index file shards. However, adopting a modern build system can be prohibitive for users with established build infrastructure. In contrast, DTLTO manages distribution within LLVM during the traditional link step. This approach allows DTLTO to work with any build process that supports in-process ThinLTO. This patch provides a minimal but functional implementation of DTLTO, which will be expanded in subsequent commits. It adds support for delegating the backend ThinLTO jobs to an external process (the distributor), which in turn coordinates distribution through a system such as Incredibuild. A JSON interface is used for communication with the distributor. The JSON interface allows new distribution systems to be supported without modifying LLVM. Please see the documentation added in this patch: llvm/docs/dtlto.rst for more details. Subsequent LLVM commits will add: - Support for the ThinLTO cache. - Support for more LTO configuration states, e.g., basic block sections. - Performance improvements, such as more efficient removal of temporary files. RFC: Integrated Distributed ThinLTO RFC For the design of the DTLTO feature, see: llvm#126654.

This patch adds initial support for Integrated Distributed ThinLTO (DTLTO) in LLVM, which manages distribution internally during the traditional link step. This enables compatibility with any build system that supports in-process ThinLTO. In contrast, existing approaches to distributed ThinLTO, which split the thin-link (--thinlto-index-only), backend compilation, and final link into separate steps, require build system support, e.g. Bazel. This patch implements the core DTLTO mechanism, which enables delegation of ThinLTO backend jobs to an external process (the distributor). The distributor can then manage job distribution through systems like Incredibuild. A generic JSON interface is used to communicate with the distributor, allowing for the creation of new distributors (and thus integration with different distribution systems) without modifying LLVM. Please see llvm/docs/dtlto.rst for more details. RFC: https://discourse.llvm.org/t/rfc-integrated-distributed-thinlto/69641 Design Review: #126654

…749) This patch adds initial support for Integrated Distributed ThinLTO (DTLTO) in LLVM, which manages distribution internally during the traditional link step. This enables compatibility with any build system that supports in-process ThinLTO. In contrast, existing approaches to distributed ThinLTO, which split the thin-link (--thinlto-index-only), backend compilation, and final link into separate steps, require build system support, e.g. Bazel. This patch implements the core DTLTO mechanism, which enables delegation of ThinLTO backend jobs to an external process (the distributor). The distributor can then manage job distribution through systems like Incredibuild. A generic JSON interface is used to communicate with the distributor, allowing for the creation of new distributors (and thus integration with different distribution systems) without modifying LLVM. Please see llvm/docs/dtlto.rst for more details. RFC: https://discourse.llvm.org/t/rfc-integrated-distributed-thinlto/69641 Design Review: llvm/llvm-project#126654

bd1976bris · 2025-05-27T10:30:03Z

Thanks to everyone for the review effort on DTLTO — I’ve now merged the LLVM portion of the changes (#127749).

I’m currently on PTO this week, but once I’m back, I’ll post the Clang and LLD patches for review. In the meantime, if anyone wants to try out DTLTO on a stable branch, I’ve backported the changes to LLVM 19 here: https://github.com/bd1976bris/llvm-project/commits/dtlto_llvm19.

This patch adds initial support for Integrated Distributed ThinLTO (DTLTO) in LLVM, which manages distribution internally during the traditional link step. This enables compatibility with any build system that supports in-process ThinLTO. In contrast, existing approaches to distributed ThinLTO, which split the thin-link (--thinlto-index-only), backend compilation, and final link into separate steps, require build system support, e.g. Bazel. This patch implements the core DTLTO mechanism, which enables delegation of ThinLTO backend jobs to an external process (the distributor). The distributor can then manage job distribution through systems like Incredibuild. A generic JSON interface is used to communicate with the distributor, allowing for the creation of new distributors (and thus integration with different distribution systems) without modifying LLVM. Please see llvm/docs/dtlto.rst for more details. RFC: https://discourse.llvm.org/t/rfc-integrated-distributed-thinlto/69641 Design Review: llvm#126654

This patch introduces support for Integrated Distributed ThinLTO (DTLTO) in ELF LLD. DTLTO enables the distribution of ThinLTO backend compilations via external distribution systems, such as Incredibuild, during the traditional link step: https://llvm.org/docs/DTLTO.html. It is expected that users will invoke DTLTO through the compiler driver (e.g., Clang) rather than calling LLD directly. A Clang-side interface for DTLTO will be added in a follow-up patch. Note: Bitcode members of non-thin archives are not currently supported. This will be addressed in a future change. Testing: - ELF LLD `lit` test coverage has been added, using a mock distributor to avoid requiring Clang. - Cross-project `lit` tests cover integration with Clang. For the design discussion of the DTLTO feature, see: llvm#126654

bd1976bris · 2025-06-04T15:44:05Z

I have put a PR for introducing support for Integrated Distributed ThinLTO (DTLTO) in ELF LLD: #142757. Once that's merged I will follow up with PRs for adding DTLTO support to Clang and adding DTLTO support to COFF LLD.

bd1976bris requested review from compnerd, justincady, tstellar, MaskRay, pcc, jvoung, NuriAmari, ellishg, thevinster, nga888, teresajohnson, dwblaikie, aganea, mingmingl-llvm and efriedma-quic February 11, 2025 02:34

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MaskRay reviewed Feb 24, 2025

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bd1976bris added 3 commits February 25, 2025 01:48

Support more than one LTO partition.

36fe827

bd1976bris added 7 commits February 26, 2025 22:14

Go back to previous more contained thin archive bitcode members scheme

68e088b

Replace remote-opt-tool with remote-compiler

f5cb455

Make thinlto-remote-compiler a cl::opt

7525a13

Forward Clang -mllvm options to remote compiler invocations

6d60e48

Update documentation to match recent changes

273b2e5

- Remove mention of the, now removed, "Linker Version" stuff. - Remote optimization tool -> remote compiler.

Update python module docstrings to match the script names

8eb070a

Disable problematic Clang format for the mllvm.c test

4297340

bd1976bris changed the title ~~Integrated Distributed ThinLTO (DTLTO): Initial support~~ Integrated Distributed ThinLTO (DTLTO): Design Overview Mar 5, 2025

bd1976bris mentioned this pull request Jun 4, 2025

[DTLTO][LLD][ELF] Add support for Integrated Distributed ThinLTO #142757

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Initial DTLTO Support

Overview of DTLTO

Documentation and Resources

Features of This Initial Commit

Performance

Planned Future Enhancements

Discussion Points

Other approaches

List of Child PRs:

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