Visible to Intel only — GUID: GUID-DD4AF44B-2458-46C5-AF87-EFF1D1F21788
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
Programming with Intel® Math Kernel Library in Integrated Development Environments (IDE)
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
Overview of the Intel® Optimized HPL-AI* Benchmark
Contents of the Intel® Distribution for LINPACK* Benchmark and the Intel® Optimized HPL-AI* Benchmark
Building the Intel® Distribution for LINPACK* Benchmark and the Intel® Optimized HPL-AI* 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 and the Intel® Optimized HPL-AI* Benchmark
Heterogeneous Support in the Intel® Distribution for LINPACK* Benchmark
Environment Variables
Improving Performance of Your Cluster
Visible to Intel only — GUID: GUID-DD4AF44B-2458-46C5-AF87-EFF1D1F21788
Improving oneMKL Performance on Specific Processors
Product and Performance Information |
---|
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Notice revision #20201201 |
Dual-Core Intel® Xeon® Processor 5100 Series
To get the best performance with Intel® oneAPI Math Kernel Library (oneMKL) on Dual-Core Intel® Xeon® processor 5100 series systems, enable the Hardware DPL (streaming data) Prefetcher functionality of this processor. To configure this functionality, use the appropriate BIOS settings, as described in your BIOS documentation.
Parent topic: Other Tips and Techniques to Improve Performance