Answer
Nov 06, 2025 - 11:05 AM
To install and link the Intel® oneAPI Math Kernel Library for maximum performance, follow these steps:
**Step 1: Install Intel® oneAPI Math Kernel Library:**
- Download the library from the Intel® oneAPI Base Toolkit.
- For Python distributions, refer to specific installation instructions for PIP distribution on Linux* and macOS*.
- Modify the link line with oneMKL libraries full names and versions as needed.
- Refer to the Intel® oneAPI Math Kernel Library and pkg-config tool for compiling and linking information.
**Step 2: Select a Function or Routine:**
- Choose a function or routine from oneMKL that best suits your problem by referring to the Developer Guide and Developer Reference for detailed descriptions.
- Utilize the LAPACK Function Finding Advisor to explore LAPACK routines relevant to your specific computational problem.
**Step 3: Link Your Code:**
- Use the oneMKL Link Line Advisor to configure the link command based on your program features.
- Follow the provided examples for DPC++ interfaces with static or dynamic linking on Linux and Windows.
- For C/Fortran Interfaces with OpenMP Offload Support, make necessary changes to enable OpenMP offload feature to the GPU.
By following these steps and utilizing the resources provided in the Intel® oneAPI Math Kernel Library documentation, you can effectively install, select appropriate functions, and link your code to leverage the optimized routines for enhanced performance in math computing applications.
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