Performance and Productivity: Scalable Hybrid Parallelism

Optimized AI from data center to PC. Real-time image processing. Get the 2025.2 developer tools from Intel now.

  • Maximize AI PC inference capabilities from large language models (LLM) to image generation with Intel® oneAPI Deep Neural Network Library (oneDNN) and PyTorch* 2.7 optimizations for Intel® Core™ Ultra processors (series 2) and Intel® Arc™ GPUs.​
  • Efficiently handle complex models and large datasets in AI inference workflows with oneDNN optimizations for Intel® Xeon® 6 processors with P-cores. ​
  • Optimize performance on client GPUs and NPUs from Intel with new analysis tool features in Intel® VTune™ Profiler.​
  • Achieve real-time processing and display on a broader array of imaging formats through enhanced SYCL* interoperability with Vulkan* and Microsoft DirectX* 12 APIs.
  • Optimize GPU offload performance and flexibility for data-intensive applications with new OpenMP* 6.0 features in the Intel® oneAPI DPC++/C++ Compiler. ​
  • Enhance efficiency for parallel computing and complex data structures with new Fortran 2023 features in the Intel® Fortran Compiler.​
  • Easily migrate your CUDA* code to SYCL with auto-migration of over 350 APIs used by popular AI and accelerated computing applications in the Intel® DPC++ Compatibility Tool.​
  • Experience improved compatibility and application performance for hybrid parallelism with message passing interface (MPI) 4.1 support and newly extended multithreading capabilities in the Intel® MPI Library.​

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Reviews and Testimonials

oneAPI has revolutionized the way we approach heterogeneous computing by enabling seamless development across architectures. Its open, unified programming model has accelerated innovation in fields from AI to HPC, unlocking new potential for researchers and developers alike. Happy 5th anniversary to oneAPI!

– Dr. Gal Oren, assistant professor, Department of Computer Science

 

Intel's commitment to their oneAPI software stack is testament to their developer-focused, open-standards commitment. As oneAPI celebrates its 5th anniversary, it provides comprehensive and performant implementations of OpenMP and SYCL for CPUs and GPUs, bolstered by an ecosystem of library and tools to make the most of Intel processors.

– Dr. Tom Deakin, senior lecturer, head of Advanced HPC Research Group

 

Celebrating five years of oneAPI. In ExaHyPE, oneAPI has been instrumental in implementing the numerical compute kernels for hyperbolic equation systems, making a huge difference in performance with SYCL providing the ideal abstraction and agnosticism for exploring these variations. This versatility enabled our team, together with Intel engineers, to publish three distinct design paradigms for our kernels.

– Dr. Tobias Weinzierl, director, Institute for Data Science

 

GROMACS was an early adopter of SYCL as a performance-portability back end, leveraging it to run on multivendor GPUs. Over the years, we've observed significant improvements in the SYCL standard and the growth of its community. This underscores the importance of open standards in computational research to drive innovation and collaboration. We look forward to continued SYCL development, which will enable enhancements in software performance and increase programmer productivity.

– Andrey Alekseenko, researcher, Department of Applied Physics


Introducing Intel® Tiber™ AI Cloud¹

A New Name. Expanded Production-Level AI Compute.


Intel's developer cloud is now called Intel® Tiber™ AI Cloud. Part of the Intel® Tiber™ Cloud Services portfolio, the new name reflects Intel’s commitment to deliver computing and software accessibility at scale for AI deployments, developer ecosystem support, and benchmark testing.

1 Formerly Intel® Tiber™ Developer Cloud


 

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