Speed Up DPC++ (SYCL*) Kernels on CPUs and GPUs.

For the most current functional and security features, update to the latest version as it becomes available.

Windows* Installation Instructions

For more information, see the Get Started Guide.

Linux* Installation Instructions

For more information, see the Get Started Guide.

Set Up Your Environment

1. Install Miniforg.
2. Create and activate a new conda environment, replacing <your-env-name> with your preferred name for the environment:

conda create -n <your-env-name>
conda activate <your-env-name>

Install with conda

• For developing or compiling applications:

conda install -c https://software.repos.intel.com/python/conda/ -c conda-forge onedpl-devel

For the next steps, see the Get Started Guide

Set Up Your Environment

Create and activate a virtual environment, replacing <your-env-name> with your preferred name for the environment:

python3.10 -m venv <your-env-name>
source <your-env-name>/bin/activate

Install with pip

• For developing or compiling applications:

sudo pip install onedpl-devel

For the next steps, see the Get Started Guide

Install with Spack

spack install intel-oneapi-dpl

For more information, refer to Spack documentation.

For the next steps, see the Get Started Guide.

Prerequisites for First-Time Users

Add the Intel oneAPI repository public key using the following command:

sudo zypper addrepo https://yum.repos.intel.com/oneapi oneAPI

Install with Zypper

sudo zypper install intel-oneapi-libdpstd-devel

For the next steps, see the Get Started Guide

Additional Resources

Developer Guide and Reference

Release Notes & System Requirements