Comments (3)
It's interesting bc the Dyninst team said they want to get rid of the building dependencies support. But this would be a strong case keeping that if Dyninst needs a static boost lib to instrument binaries using boost libs
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This is interesting. It may simply be fixed by having the Dyninst submodule build boost bc I set it up to build and link to the static boost libraries so theoretically, if this is a case of self-instrumentation, it'll be resolved since it won't be using the boost symbol it instruments.
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I'm going to close this with the note that it is highly recommended to statically link boost, or at least compile boost with hidden visibility (I suspect that if your boost version was built with global visibility, could be an issue here since I think most Dyninst builds outside of omnitrace use shared boost libraries)
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Related Issues (20)
- Update Dyninst submodule
- Segmentation fault in multi-threaded code HOT 10
- omnitrace hangs before hostCallback function HOT 4
- Segmentation fault in sampling multi-processing code HOT 8
- Missing Information for some Memory Operations (host to device or device to host) HOT 2
- Slice has duration of "Did not end." HOT 10
- Missing GPU kernels when using @profile and -b flag HOT 1
- Still an issue related to "Segmentation fault in multi-threaded code" HOT 3
- Issues with Python support HOT 2
- Inaccurate device counter trace HOT 1
- ROCm 6.0 HOT 4
- Omnitrace hangs with omnitrace-instrument HOT 6
- omnitrace-python errors with OMNITRACE_USE_ROCM_SMI = true HOT 11
- omnitrace-avail fails with GFXIP is not supported(gfx90c) HOT 1
- Enabling Detailed Profiling of Graph Nodes in OmniTrace HOT 1
- torch.cuda.is_available() aborts after module loading omnitrace HOT 1
- Visualizing profiling results for multi-GPUs HOT 4
- [Documentation]: Fix User API Example
- [Issue]: omnitrace-python gives a TypeError Exception on PyTorch script. HOT 3
- [Issue]: No GPU Hardware Counters Available ROCm 6.1.2 HOT 2
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