A New Era of Accelerated Computing
[Bookmark] New Code Samples Library
Explore the latest, ready-to-use code samples in GitHub* to develop, offload, and optimize multiarchitecture applications targeting CPUs, GPUs, and FPGAs.
Save Your Spot for This Free, Virtual Event
Coming June 13th, get motivated to start building your own oneAPI projects and solutions. This one-day, live, virtual conference includes tons of tech talks and workshops focused on the capabilities of oneAPI tools.
Flexible, robust, and the industry’s most open GPU solution for the intelligent visual cloud, the new GPU supports media streaming, cloud gaming, AI visual inference, and virtual desktop infrastructure workloads. Get the details in under three minutes.
Get Started with the Right Software Tools
oneAPI Training – Featured Workflows
Each of the following workflows use a step-by-step approach, tailored to your needs, and provides tips and resources.
Optimize Your GPU Applications (6 Steps)
For developers interested in accelerating code on integrated or discrete graphics.
Use this step-by-step guide to learn GPU optimization with Intel’s latest discrete and integrated GPUs, Intel® oneAPI Base Toolkit, and SYCL for cross-code reuse.
Workflow for CUDA* to SYCL* Migration (3 Steps)
For developers with strong CUDA skills.
Use this basic workflow to migrate your entire code base for CUDA applications to SYCL and optimize the code for Intel® GPU kernels.
Intel® AI Analytics Toolkit Samples Workflow (4 Steps)
For AI developers looking to optimize model performance.
Learn the basic workflow to identify the right samples for your AI analytics projects based on data type, life cycle stage, and other tasks you need to perform.
Dev-to-Dev Insights & POV
Easy Guide to Multithreading in Python*
Chandan Damannagari, AI & HPC Software, Intel
Python* is great for single-threaded programs but can be subpar for multithreading. This guide details an approach for solving that issue.
How to Use oneTBB for Memory Allocation in C++ Apps
Nikita Shiledarbaxi, AI/ML Product Software Engineer, Intel
Learn how to use Intel® oneAPI Threading Building Blocks (oneTBB) dynamic memory allocator to optimize parallel applications.
12 New AI Reference Kits Available
Susan Kahler, PhD, AI/ML Products & Solutions, Intel
The next 12 AI reference kits are now available, making for 34 total created by Intel & Accenture* to simplify AI development.
3 Ways to Get Started with oneAPI Code Samples
John Kinsky, software optimizations engineer, Intel
Intel has open source, ready-to-use code samples to develop, offload, and optimize multiarchitecture applications. Learn three ways to get them.
Industry Showcase
See the latest collaborations, use cases, and success stories facilitated by oneAPI.
Using Intel® oneAPI toolkits, researchers at VIDI developed two techniques that will help render and store volumetric scientific data more efficiently than previously possible.
Dive used Intel® VTune™ Profiler and access to Intel® Developer Cloud to optimize its Computational Fluid Dynamics solvers for 4th gen Intel® Xeon® Scalable processors.
Red Hat* used Intel machine learning tools, such as its optimized scikit-learn*, to control supply chain processes and accurately predict delivery delays.
Check out the growing list of over 200 global companies, universities, and institutions taking advantage of oneAPI to advance applications and solutions and open new doors for developer opportunities.
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