OpenMP* Offload: Solving Linear Systems Using oneMKL on GPUs

This session addresses the challenge of speeding up the linear algebra for Intel® oneAPI Math Kernel Library (oneMKL) kernel on GPUs through OpenMP*. (This is important because it allows you to maintain the same code base for CPU and GPU OpenMP acceleration.)

You’ll learn the technique through a demonstration of how to solve a 1000 x 1000 complex number matrix by calling the GPU version of the oneMKL subroutine on Intel® Data Center GPU Max Series processors.

This session explores:

• An overview of OpenMP, including how it’s a built-in solution for Fortran users to take advantage of Intel GPU hardware and its offload capabilities
• How to dispatch a oneMKL math kernel, such as solving a complex number matrix, to the latest Intel GPU
• Compiling the code example using the latest Intel® Fortran Compiler
• Using OpenMP data construct to manage data movement between the host and target devices
• How to monitor and optimize host-target data movement by the OpenMP runtime library

Skill level: Intermediate

Download the following stand-alone products or as part of the Intel® oneAPI Base Toolkit:

• oneMKL
• Intel Fortran Compiler: Windows* | Linux* | macOS*

• oneMKL: Solving Linear Systems
• Fortran and OpenMP Offload to GPUs
• Coarray Tutorial for Intel Fortran Compiler
• See All Code Samples