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Getting Help and Support
What's New
Notational Conventions
Related Information
Getting Started
Structure of the Intel® oneAPI Math Kernel Library
Linking Your Application with the Intel® oneAPI Math Kernel Library
Managing Performance and Memory
Language-specific Usage Options
Obtaining Numerically Reproducible Results
Coding Tips
Managing Output
Working with the Intel® oneAPI Math Kernel Library Cluster Software
Managing Behavior of the Intel® oneAPI Math Kernel Library with Environment Variables
Configuring Your Integrated Development Environment to Link with Intel® oneAPI Math Kernel Library
Intel® oneAPI Math Kernel Library Benchmarks
Appendix A: Intel® oneAPI Math Kernel Library Language Interfaces Support
Appendix B: Support for Third-Party Interfaces
Appendix C: Directory Structure in Detail
Notices and Disclaimers
OpenMP* Threaded Functions and Problems
Functions Threaded with Intel® Threading Building Blocks
Avoiding Conflicts in the Execution Environment
Techniques to Set the Number of Threads
Setting the Number of Threads Using an OpenMP* Environment Variable
Changing the Number of OpenMP* Threads at Run Time
Using Additional Threading Control
Calling oneMKL Functions from Multi-threaded Applications
Using Intel® Hyper-Threading Technology
Managing Multi-core Performance
Managing Performance with Heterogeneous Cores
Overview of the Intel® Distribution for LINPACK* Benchmark
Contents of the Intel® Distribution for LINPACK* Benchmark
Building the Intel® Distribution for LINPACK* Benchmark for a Customized MPI Implementation
Building the Netlib HPL from Source Code
Configuring Parameters
Ease-of-use Command-line Parameters
Running the Intel® Distribution for LINPACK* Benchmark
Heterogeneous Support in the Intel® Distribution for LINPACK* Benchmark
Environment Variables
Improving Performance of Your Cluster
Static Libraries in the <span class='filepath'>lib</span> <span class='filepath'>/</span> <span class='filepath'>ia32</span> <span class='filepath'>_lin</span> Directory
Dynamic Libraries in the <span class='filepath'>lib</span> <span class='filepath'>/</span> <span class='filepath'>ia32</span> <span class='filepath'>_lin</span> Directory
Static Libraries in the <span class='filepath'>lib</span> <span class='filepath'>/</span> <span class='filepath'>intel64</span> <span class='filepath'>_lin</span> Directory
Dynamic Libraries in the <span class='filepath'>lib</span> <span class='filepath'>/</span> <span class='filepath'>intel64</span> <span class='filepath'>_lin</span> Directory
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Setting the Environment Variable for Conditional Numerical Reproducibility
The following examples illustrate the use of the MKL_CBWR environment variable. The first command in each list sets Intel® oneAPI Math Kernel Library to run in the CNR mode based on the default dispatching for your platform. The other two commandsin each list are equivalent and set the CNR branch to Intel AVX.
For the bash shell:
- export MKL_CBWR="AUTO"
- export MKL_CBWR="AVX"
- export MKL_CBWR="BRANCH=AVX"
For the C shell (csh or tcsh):
- setenv MKL_CBWR "AUTO"
- setenv MKL_CBWR "AVX"
- setenv MKL_CBWR "BRANCH=AVX"
Parent topic: Obtaining Numerically Reproducible Results