Intel® oneAPI Math Kernel Library
The fastest and most-used math library for Intel®-based systems†. Accelerate math processing routines, increase application performance, and reduce development time.
Intel-Optimized Math Library for Numerical Computing
Optimized Library for Scientific Computing
- Enhanced math routines enable developers and data scientists to create performant science, engineering, or financial applications
- Core functions include BLAS, LAPACK, sparse solvers, fast Fourier transforms (FFT), random number generator functions (RNG), summary statistics, data fitting, and vector math
- Optimizes applications for current and future generations of Intel® CPUs, GPUs, and other accelerators
- Is a seamless upgrade for previous users of the Intel® Math Kernel Library (Intel® MKL)
What’s New
- Data Parallel C++ (DPC++) APIs maximize performance and cross-architecture portability
- Introduces C and Fortran OpenMP offload for Intel® GPU acceleration
What You Need
- The Intel® oneAPI Math Kernel Library (oneMKL) is available as part of the Intel® oneAPI Base Toolkit.
- Using oneMKL with Intel® MPI library or Intel® Fortran Compilers requires the Intel® oneAPI HPC Toolkit
Develop in the Cloud
Get what you need to build, test, and optimize your oneAPI projects for free. With an Intel® DevCloud account, you get 120 days of access to the latest Intel® hardware—CPUs, GPUs, FPGAs—and Intel oneAPI tools and frameworks. No software downloads. No configuration steps. No installations.
Features
Linear Algebra
Speed up linear algebra computations with low-level routines that operate on vectors and matrices, and are compatible with these industry-standard BLAS and LAPACK operations:
- Level 1: Vector-vector operations
- Level 2: Matrix-vector operations
- Level 3: Matrix-matrix operations
Sparse Linear Algebra Functions
- Sparse Matrix: dense vector multiplication
- Sparse Matrix: dense matrix multiplication
- Sparse triangular matrix solver
Fast Fourier Transforms (FFT)
Transform a signal from its original domain (typically time or space) into a representation in the frequency domain and back. Use FFT functions in one, two, or three dimensions with support for mixed radices. The supported functions include complex-to-complex and real-to-complex transforms of arbitrary length in single-precision and double-precision.
Random Number Generator Functions (RNG)
Use common pseudorandom, quasi-random, and non-deterministic random number engines to solve continuous and discrete distributions.
Data Fitting
Provide spline-based interpolation capabilities that you can use to approximate functions, function derivatives or integrals, and perform cell search operations.
Vector Math
Balance accuracy and performance with vector-based elementary functions. Manipulate values with traditional algebraic and trigonometric functions.
Summary Statistics
Compute basic statistical estimates (such as raw or central sums and moments) for single- and double-precision multidimensional datasets.
Benchmarks
Documentation & Code Samples
Documentation
- Developer References
DPC++ | C | Fortran - Release Notes
- System Requirements
- License FAQ
Specifications
Processors:
- Intel Atom® processors
- Intel® Core™ processors
- Intel® Xeon® Scalable processors
GPUs:
- Intel® Processor Graphics Gen9 and above
- Xe architecture
Languages:
- Data Parallel C++ (DPC++)
- C and C++
- C#
- Fortran*
Operating systems:
- Windows*
- Linux*
- macOS*
Compilers:
- Intel® oneAPI DPC++/C++ Compiler
- GNU Compiler Collection (GCC)*
- Intel® C++ Compiler Classic
- Intel® Fortran Compiler (Beta)
- Intel® Fortran Compiler Classic
- Other compilers that follow the same standards
Development environments:
- Windows: Microsoft Visual Studio*
- Linux: Eclipse* and Eclipse CDT (C/C++ Development Tooling)*
Threading models:
- Intel® oneAPI Threading Building Blocks
- OpenMP
For more information, see the system requirements.
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Get Help
Your success is our success. Access these support resources when you need assistance.
Source
† Data from Evans Data Software Developer survey, 2020
Open-Source Version
Intel oneAPI Math Kernel Library is available as an open-source library.
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.