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CUDA CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND

The specified symbol was not found in the shared object.

Understanding CUDA and Its Purpose

CUDA, which stands for Compute Unified Device Architecture, is a parallel computing platform and application programming interface (API) model created by NVIDIA. It allows developers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing, an approach known as GPGPU (General-Purpose computing on Graphics Processing Units). CUDA provides developers with direct access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.

Identifying the Symptom: CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND

When working with CUDA, you might encounter the error code CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND. This error typically manifests when a program attempts to load a shared object and fails to find a specified symbol within it. The symptom is usually an abrupt termination of the program or an error message indicating the missing symbol.

Explaining the Issue: Missing Symbol in Shared Object

The error CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND occurs when the CUDA runtime cannot locate a symbol that is expected to be present in a shared object. This can happen if the symbol name is misspelled, the shared object is not properly compiled, or the symbol is not exported correctly. This issue can be particularly challenging because it involves both the compilation and linking stages of development.

Common Causes of the Error

  • Incorrect symbol name specified in the code.
  • Shared object not compiled with the correct flags.
  • Symbol not exported due to incorrect visibility settings.

Steps to Resolve the Issue

To resolve the CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND error, follow these steps:

1. Verify the Symbol Name

Ensure that the symbol name used in your code matches exactly with the one defined in the shared object. Pay attention to case sensitivity and any potential typographical errors.

2. Check Compilation and Linking

Ensure that the shared object is compiled and linked correctly. Use the following command to compile a shared object with the necessary flags:

nvcc -shared -o my_shared_object.so my_source_file.cu

Ensure that the -shared flag is used to create a shared library.

3. Ensure Symbol Export

Check that the symbol is exported correctly. In C/C++, you can use the __declspec(dllexport) (Windows) or __attribute__((visibility("default"))) (Linux) to ensure that the symbol is visible outside the shared object.

4. Use Tools to Inspect Shared Objects

Use tools like nm (Linux) or dumpbin (Windows) to inspect the shared object and verify that the symbol is present:

nm -g my_shared_object.so | grep my_symbol

This command will list all globally visible symbols in the shared object and help you verify the presence of your symbol.

Additional Resources

For more information on CUDA and handling shared objects, consider visiting the following resources:

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CUDA CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND

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