Developer Guide
Developer Guide for Intel® oneAPI Math Kernel Library Linux*
ID
766690
Date
11/07/2023
Public
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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
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
Known Limitations of the Intel® Optimized LINPACK Benchmark
The following limitations are known for the Intel Optimized LINPACK Benchmark for Linux*:
- Intel Optimized LINPACK Benchmark supports only OpenMP threading
- Intel Optimized LINPACK Benchmark is threaded to effectively use multiple processors. So, in multi-processor systems, best performance will be obtained with the Intel® Hyper-Threading Technology turned off, which ensures that the operating system assigns threads to physical processors only.
- If an incomplete data input file is given, the binaries may either hang or fault. See the sample data input files and/or the extended help for insight into creating a correct data input file.
Product and Performance Information |
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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Notice revision #20201201 |
Parent topic: Intel Optimized LINPACK Benchmark for Linux*