Developer Guide

Developer Guide for Intel® oneAPI Math Kernel Library macOS*

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ID 766688
Date 11/07/2023
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Document Table of Contents
Document Table of Contents x
Developer Guide for Intel® oneAPI Math Kernel Library for macOS*
Developer Guide for Intel® oneAPI Math Kernel Library for macOS* x
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
Getting Started x
Shared Library Versioning CMake Config for oneMKL Checking Your Installation Setting Environment Variables Compiler Support Using Code Examples What You Need to Know Before You Begin Using the Intel® oneAPI Math Kernel Library
Structure of the Intel® oneAPI Math Kernel Library x
Architecture Support High-Level Directory Structure Layered Model Concept
Linking Your Application with the Intel® oneAPI Math Kernel Library x
Linking Quick Start Linking Examples Linking in Detail Building Custom Dynamically Linked Shared Libraries
Linking Quick Start x
Using the -qmkl Compiler Option Using the Single Dynamic Library Selecting Libraries to Link with Using the Link-line Advisor Using the Command-Line Link Tool
Linking Examples x
Linking on Intel(R) 64 Architecture Systems
Linking in Detail x
Listing Libraries on a Link Line Dynamically Selecting the Interface and Threading Layer Linking with Interface Libraries Linking with Threading Libraries Linking with Compiler Run-time Libraries Linking with System Libraries
Linking with Interface Libraries x
Using the ILP64 Interface vs. LP64 Interface Linking with Fortran 95 Interface Libraries
Building Custom Dynamically Linked Shared Libraries x
Using the Custom Dynamically Linked Shared Library Builder Composing a List of Functions Specifying Function Names Distributing Your Custom Dynamically Linked Shared Library
Managing Performance and Memory x
Improving Performance with Threading Improving Performance for Small Size Problems Other Tips and Techniques to Improve Performance Using Memory Functions
Improving Performance with Threading x
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
Using Additional Threading Control x
oneMKL-specific Environment Variables for OpenMP Threading Control MKL_DYNAMIC MKL_DOMAIN_NUM_THREADS MKL_NUM_STRIPES Setting the Environment Variables for Threading Control
Improving Performance for Small Size Problems x
Using MKL_DIRECT_CALL in C Applications Using MKL_DIRECT_CALL in Fortran Applications Limitations of the Direct Call
Other Tips and Techniques to Improve Performance x
Coding Techniques Improving oneMKL Performance on Specific Processors Operating on Denormals
Using Memory Functions x
Avoiding Memory Leaks in oneMKL Redefining Memory Functions
Language-specific Usage Options x
Using Language-Specific Interfaces with Intel® oneAPI Math Kernel Library Mixed-language Programming with the Intel Math Kernel Library
Using Language-Specific Interfaces with Intel® oneAPI Math Kernel Library x
Interface Libraries and Modules Fortran 95 Interfaces to LAPACK and BLAS Compiler-dependent Functions and Fortran 90 Modules
Mixed-language Programming with the Intel Math Kernel Library x
Calling LAPACK, BLAS, and CBLAS Routines from C/C++ Language Environments Using Complex Types in C/C++ Calling BLAS Functions That Return the Complex Values in C/C++ Code
Obtaining Numerically Reproducible Results x
Getting Started with Conditional Numerical Reproducibility Specifying Code Branches Reproducibility Conditions Setting the Environment Variable for Conditional Numerical Reproducibility Code Examples
Coding Tips x
Example of Data Alignment Using Predefined Preprocessor Symbols for Intel® MKL Version-Dependent Compilation
Managing Output x
Using oneMKL Verbose Mode
Using oneMKL Verbose Mode x
Version Information Line Call Description Line
Working with the Intel® oneAPI Math Kernel Library Cluster Software x
Linking with oneMKL Cluster Software Setting the Number of OpenMP* Threads Using Shared Libraries Setting Environment Variables on a Cluster Interaction with the Message-passing Interface Using a Custom Message-Passing Interface Examples of Linking for Clusters
Examples of Linking for Clusters x
Examples for Linking a C Application Examples for Linking a Fortran Application
Managing Behavior of the Intel® oneAPI Math Kernel Library with Environment Variables x
Managing Behavior of Function Domains with Environment Variables Instruction Set Specific Dispatching on Intel® Architectures
Managing Behavior of Function Domains with Environment Variables x
Setting the Default Mode of Vector Math with an Environment Variable Managing Performance of the Cluster Fourier Transform Functions Managing Invalid Input Checking in LAPACKE Functions
Configuring Your Integrated Development Environment to Link with Intel® oneAPI Math Kernel Library x
Configuring the Apple Xcode* Developer Software to Link with Intel® Math Kernel Library
Intel® oneAPI Math Kernel Library Benchmarks x
Intel Optimized LINPACK Benchmark for macOS*
Intel Optimized LINPACK Benchmark for macOS* x
Contents of the Intel® Optimized LINPACK Benchmark Running the Software Known Limitations of the Intel® Optimized LINPACK Benchmark
Appendix A: Intel® oneAPI Math Kernel Library Language Interfaces Support x
Language Interfaces Support, by Function Domain Include Files
Appendix B: Support for Third-Party Interfaces x
FFTW Interface Support
Appendix C: Directory Structure in Detail x
Static Libraries in the lib directory Dynamic Libraries in the lib directory
Developer Guide for Intel® oneAPI Math Kernel Library for macOS*

Dynamic Libraries in the lib directory

Some of the libraries in this directory are optional. However, some optional libraries are installed by default, while the rest are not. To get those libraries that are not installed by default, explicitly select the specified optional component during installation.

File

Contents

Optional Component

Name

Installed by Default

libmkl_rt.dylib

Single Dynamic Library

   

Interface Layer

      

libmkl_intel_lp64.dylib

Interface library for the Intel compilers. To be used on Intel® 64 architecture systems to support LP64 interface

   

libmkl_intel_ilp64.dylib

Interface library for the Intel compilers. To be used on Intel® 64 architecture systems to support ILP64 interface

   

Threading Layer

      

libmkl_intel_thread.dylib

OpenMP threading library for the Intel compilers

   

libmkl_tbb_thread.dylib

Intel TBB threading library for the Intel compilers

Intel TBB threading support

Yes

libmkl_sequential.dylib

Sequential library

   

Computational Layer

      

libmkl_core.dylib

Contains the dispatcher for dynamic load of the processor-specific kernel library

   

libmkl_lapack.dylib

Routines and drivers for LAPACK, DSS, and Intel® oneAPI Math Kernel Library (oneMKL) PARDISO

    

libmkl_mc.dylib

64-bit kernel for processors based on the Intel® Core™ microarchitecture

   

libmkl_mc3.dylib

64-bit kernel for the Intel® Core™ i7 processors

   

libmkl_avx.dylib

Kernel library for Intel® Advanced Vector Extensions (Intel® AVX)

   

libmkl_avx2.dylib

Kernel library for Intel® Advanced Vector Extensions 2 (Intel® AVX2)

   

libmkl_vml_mc.dylib

64-bit Vector Mathematics (VM)/Vector Statistics (VS)/Data Fitting (DF) for processors based on the Intel® Core™ microarchitecture

   

libmkl_vml_mc2.dylib

64-bit VM/VS/DF for 45nm Hi-k Intel® Core™2 and the Intel Xeon® processor families

   

libmkl_vml_mc3.dylib

64-bit VM/VS/DF for the Intel® Core™ i7 processors

   

libmkl_vml_avx.dylib

VM/VS/DF optimized for the Intel® Advanced Vector Extensions (Intel® AVX)

   

libmkl_vml_avx2.dylib

VM/VS/DF optimized for Intel® Advanced Vector Extensions 2 (Intel® AVX2)

   

libmkl_vml_cmpt.dylib

VM/VS/DF library for conditional numerical reproducibility

   

Cluster Libraries

      

libmkl_scalapack_lp64.dylib

ScaLAPACK routine library supporting the LP64 interface

Cluster support

 

libmkl_scalapack_ilp64.dylib

ScaLAPACK routine library supporting the ILP64 interface

Cluster support

 

libmkl_cdft_core.dylib

Cluster version of FFT functions

Cluster support

 

libmkl_blacs_mpich_lp64.dylib

LP64 version of BLACS routines for MPICH

Cluster support

 

libmkl_blacs_mpich_ilp64.dylib

ILP64 version of BLACS routines for MPICH

Cluster support

 

Message Catalogs

      

locale/en_US/mkl_msg.cat

Catalog of Intel® oneAPI Math Kernel Library (oneMKL) messages in English

    

Product and Performance Information

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.

Notice revision #20201201

Parent topic: Appendix C: Directory Structure in Detail
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