Intel® oneAPI Math Kernel Library (oneMKL) Essentials
Learn how to create performant applications and speed up computations with low-level math routines using the oneAPI programming model.
The Intel® oneAPI Math Kernel Library enhances math routines such as vector and matrix operations from Basic Linear Algebra Subprograms (BLAS) and the Linear Algebra Package (LAPACK), fast Fourier transforms (FFT) and random number generator (RNG) functions. This toolkit extends heterogeneous computing functionality via the SYCL* and OpenMP* offload interfaces.
Use this learning path to get hands-on practice with Intel® oneMKL using a Jupyter* Notebook on Intel® Developer Cloud.
Who is this for?
Developers who want to learn the basics of oneMKL for heterogeneous computing via SYCL and OpenMP offload interfaces.
What will I be able to do?
Practice the essential concepts and features of oneMKL with live sample code on Intel Developer Cloud.
oneMKL simplifies the use of the oneAPI programming model and handles much of the work for you. To maximize your learning, complete these prerequisites: