Optimize Your GPU Application with the Intel® oneAPI Base Toolkit

 

Intel DevCloud

Intel Graphics Processor 

Get Access

The Intel DevCloud is a free, cloud-based development sandbox to learn about and program oneAPI cross-architecture applications.

Hardware

The environment enables you to optimize code on real Intel GPU hardware, such as the new Intel® Iris® Xe MAX GPU. Intel® Xeon® Scalable processors and Intel® FPGAs are also available.

Software

Intel software is preinstalled in the environment and ready to use. Software includes the Intel® oneAPI Base Toolkit and add-on toolkits for HPC, AI, IoT, and more.

Sign up to get access. Then connect to the Intel DevCloud with the operating system of your choice.

Use your own development environment with Intel graphics hardware and the free Intel oneAPI Base Toolkit.

Hardware

Take advantage of Intel’s first discrete GPU with Intel® Iris® Xe MAX graphics to explore offload and optimization strategies on the latest Intel hardware. Learn more about Intel Iris Xe MAX graphics.

Many Intel platforms include integrated GPUs that can be used for basic GPU offload proof of concepts and pathfinding.

Find Your GPU Architecture

Software

The Intel oneAPI Base Toolkit provides the core set of tools and libraries you need to develop high-performance applications across diverse architectures.

Download the Intel oneAPI Base Toolkit for Free

Operating System

Host: Windows*, Linux*, macOS*

Intel DevCloud (remote): Linux

Linux
Software Intel oneAPI Base Toolkit (preinstalled on Intel DevCloud) Intel oneAPI Base Toolkit
GPU

GPUs Available: Intel® Iris® Xe MAX GPU (nodes available on Intel DevCloud)

GPUs Supported: 

  • Intel® Iris® XMAX GPU
  • Intel® Iris® Xe graphics (integrated GPU)
  • Intel® UHD Graphics
Language DPC++ DPC++
Interface Command-line interface (CLI) Command-line interface (CLI)

Tip The Offload Modeling feature in Intel Advisor can help you choose the best hardware for your needs by estimating performance improvements and return on investment (ROI) across different hardware solutions.