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Use shared libcudaqMLIR dependency everywhere#4928

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lmondada:lm/libmlir-so
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Use shared libcudaqMLIR dependency everywhere#4928
lmondada wants to merge 9 commits into
NVIDIA:mainfrom
lmondada:lm/libmlir-so

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@lmondada

@lmondada lmondada commented Jul 15, 2026 •
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This is the big one! I've changed all our internal libraries to link against a libcudaqMLIR mondo library dynamically.

  • This guarantees that we only ever ship one copy of any MLIR symbol.
  • Wherever possible I have hidden MLIR symbols to not pollute or bloat the exposed symbol tables unnecessarily (some naughty Python packages apparently use RTLD_GLOBAL!)
  • No more need for -flat_namespace, -undefined or any other work arounds for the MacOS linker. We could investigate being stricter on Linux and start using -Wl,--no-undefined
  • Any downstream extension to CUDAQ can also link against our MLIR without shipping their own and risk symbol clashes
  • I've been watching performance carefully and have not noticed any regression. If in the future the large symbol table of libcudaqMLIR causes measureable performance degradation, we could narrow down the set of exposed symbols.

A nice side benefit (and an illustration of what is going on in this refactor) is that many of our libraries are now smaller (measured on macos, Debug build):

Library / category main this PR delta
MLIR consolidation
libcudaqMLIR (new shared) — 252.1 MB +252.1 MB new
C-API (previously libCUDAQuantumPythonCAPI, now libcudaqMLIRCAPI) 298.3 MB 661 KB −297.6 MB -99.8%
libcudaq-mlir-runtime 33.7 MB 4.8 MB −28.9 MB −85.7%
Core runtime
libcudaq 6.5 MB 4.5 MB −2.1 MB −31.4%
libcudaq-common 14.2 MB 14.1 MB −36 KB −0.3%
libcudaq-operator 11.4 MB 10.0 MB −1.4 MB −12.4%
libcudaq-logger 3.4 MB 3.2 MB −253 KB −7.2%
libcudaq-builder 1.8 MB 1.8 MB −35 KB −1.9%
libcudaq-chemistry 752 KB 644 KB −109 KB −14.5%
Simulators (NVQIR)
libnvqir 2.9 MB 2.4 MB −475 KB −16.0%
libnvqir-dm 5.7 MB 3.8 MB −2.0 MB −34.1%
libnvqir-qpp 5.6 MB 3.7 MB −1.9 MB −34.1%
libnvqir-stim 3.0 MB 2.6 MB −461 KB −14.9%
Execution managers
libcudaq-em-default 837 KB 825 KB −12 KB −1.5%
libcudaq-em-photonics 2.5 MB 2.5 MB −21 KB −0.8%
libcudaq-em-qudit 3.2 MB 2.9 MB −355 KB −10.7%
Platforms
libcudaq-platform-default 1009 KB 897 KB −112 KB −11.1%
libcudaq-platform-mqpu 1.1 MB 1.0 MB −113 KB −9.7%
Remote / REST QPUs
libcudaq-rest-qpu 12.4 MB 12.0 MB −366 KB −2.9%
Other remote QPUs (quera, orca, fermioniq, pasqal) 5.4 MB 5.3 MB −151 KB −2.7%
Server helpers
libcudaq-serverhelper-braket 9.3 MB 9.0 MB −312 KB −3.3%
libcudaq-serverhelper-scaleway 3.6 MB 2.0 MB −1.7 MB −45.7%
Other server helpers (15 libs) 16.8 MB 16.3 MB −522 KB −3.0%
Total (some removed from list)
All shipped shared libs (67 → 52) 486.5 MB 393.4 MB −93.1 MB −19.1%

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@lmondada lmondada mentioned this pull request Jul 15, 2026
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@lmondada lmondada mentioned this pull request Jul 20, 2026
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lmondada force-pushed the lm/libmlir-so branch 5 times, most recently from f7de5df to 31065cd Compare July 20, 2026 12:31
@lmondada
lmondada changed the base branch from main to lm/add-mlirso July 20, 2026 12:32
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lmondada force-pushed the lm/libmlir-so branch 2 times, most recently from 4eff407 to f2598e7 Compare July 20, 2026 12:54
Renaud-K
Renaud-K reviewed Jul 20, 2026
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Comment thread runtime/cudaq/builder/CMakeLists.txt
@lmondada
lmondada marked this pull request as ready for review July 21, 2026 17:45
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LGTM. Thanks @lmondada.

@schweitzpgi

schweitzpgi commented Jul 21, 2026

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I left a slack message.

Using shared libraries everywhere is going to slow down the C++ tools for sure.

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@lmondada
lmondada changed the base branch from lm/add-mlirso to main July 22, 2026 11:07
lmondada added 3 commits July 22, 2026 15:40
@lmondada
Switch to dynamic libcudaqMLIR dependency
bce80bf 
Signed-off-by: Luca Mondada <luca@mondada.net>
@lmondada
remove cudaq-py-utils (unused)
41e06fc 
Signed-off-by: Luca Mondada <luca@mondada.net>
@lmondada
Link in MLIR statically for standalone tools
e00bcb3 
Signed-off-by: Luca Mondada <luca@mondada.net>
lmondada added a commit to lmondada/cuda-quantum that referenced this pull request Jul 22, 2026
@lmondada
Add libcudaqMLIR.so (NVIDIA#4927)
6cc5f87 
This PR adds two new CMake targets:
- `cudaqMLIR`, which bundles all of upstream MLIR, as well as the CUDAQ
dialects and MLIR passes into one shared library
- `cudaqMLIRCAPI`, a thin wrapper of `cudaqMLIR` that exposes the MLIR
C-API.

This PR is purely additive and does not change how existing CMake
targets are built/linked. A second PR (NVIDIA#4928) switches all our CMake
target to depend on this new shared library. If you interested in seeing
more of the motivation for this set of changes, have a look at that
second PR.

# Build strategy for `libcudaqMLIR.so`

The `libcudaqMLIR` library can be thought of as having two layers:

1. First, all object files from CUDAQ MLIR libraries (registered with
`register_cudaq_mlir_lib`) are bundled together in the shared library.
2. Then, all MLIR targets listed in
[`mlir-libs-allowlist.txt`](mlir-libs-allowlist.txt) are added as static
dependencies. By using CMake's `WHOLE_ARCHIVE` flag, we ensure that all
symbols from these libraries are re-exported, so that CUDAQ libraries as
well as downstream extensions can use them.

If at any point, symbols from MLIR are needed that are not within the
allowlisted MLIR components, we can adjust it accordingly.

---------

Signed-off-by: Luca Mondada <luca@mondada.net>
@lmondada
lmondada enabled auto-merge July 22, 2026 13:45
Renaud-K
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Comment thread cudaq/tools/cudaq-opt/CMakeLists.txt
lmondada added 5 commits July 23, 2026 10:35
@lmondada
revert to dynamic linking for cudaq-opt on MacOS
76b1849 
Signed-off-by: Luca Mondada <luca@mondada.net>
@lmondada
provide both static and dynamic MLIR libs
6e353b0 
Signed-off-by: Luca Mondada <luca@mondada.net>
@lmondada
Merge branch 'main' into lm/libmlir-so
20af9d4 
Signed-off-by: Luca Mondada <luca@mondada.net>
@lmondada
remove cudaq-py-utils dependency
01f8232 
Signed-off-by: Luca Mondada <luca@mondada.net>
@lmondada
fix unittests/target_config/TargetConfigTester.cpp
fa48d97 
Signed-off-by: Luca Mondada <luca@mondada.net>
@lmondada lmondada mentioned this pull request Jul 23, 2026
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Thanks, Luca. This is great! :)

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⚠️ Required checks (28/41) — 13 missing — declared in .github/required-checks.yml for merge_group
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Create Python wheels (arm64, 3.11, 12.6) / Validate wheel (fedora:42, --user) ✅ success view
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@lmondada
lmondada added this pull request to the merge queue Jul 24, 2026
@github-merge-queue
github-merge-queue Bot removed this pull request from the merge queue due to failed status checks Jul 24, 2026
@lmondada
revert changes to unittests/target_config/TargetConfigTester.cpp
c867b57 
Signed-off-by: Luca Mondada <luca@mondada.net>
@github-actions github-actions Bot added build The issue related to the CUDA Quantum build runtime CUDA quantum runtime python-lang Anything related to the Python CUDA Quantum language implementation python bridge Involves the python bridge to quake kernel builder Relating to the dynamic kernel builder in C++ or Python codegen issue with generating any codegen output (QIR, OpenQASM etc.) simulation trouble getting code to run on one of the simulators core compiler labels Jul 24, 2026
@lmondada
lmondada enabled auto-merge July 24, 2026 13:53
@lmondada
lmondada added this pull request to the merge queue Jul 24, 2026
@github-merge-queue
github-merge-queue Bot removed this pull request from the merge queue due to failed status checks Jul 24, 2026
@sacpis
sacpis added this pull request to the merge queue Jul 24, 2026
@github-merge-queue
github-merge-queue Bot removed this pull request from the merge queue due to failed status checks Jul 25, 2026
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@sacpis sacpis sacpis approved these changes
@Renaud-K Renaud-K Renaud-K approved these changes
@schweitzpgi schweitzpgi Awaiting requested review from schweitzpgi
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build The issue related to the CUDA Quantum build codegen issue with generating any codegen output (QIR, OpenQASM etc.) core compiler kernel builder Relating to the dynamic kernel builder in C++ or Python python bridge Involves the python bridge to quake python-lang Anything related to the Python CUDA Quantum language implementation runtime CUDA quantum runtime simulation trouble getting code to run on one of the simulators

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@lmondada @schweitzpgi @sacpis @Renaud-K