Intel oneAPI 2023.2 now available

Intel has unveiled the latest version of its oneAPI tools, version 2023.2, which promises to enhance software development for open multivendor multiarchitecture accelerated computing. This update comes with several standout enhancements, making it an exciting release for developers and hardware vendors alike.

What's new in Intel oneAPI 2023.2?

CodePlay

One of the notable updates is the addition of SYCL support for NVIDIA and AMD platforms through Codeplay's plug-ins. This integration brings the benefits of open, heterogeneous computing to a wider range of hardware, fostering better performance and flexibility in software development.

Codeplay has also made two other important announcements in conjunction with the 2023.2 release. Firstly, they contributed uniquely valuable technology from the computecpp SYCL compiler project to the open source DPC++ SYCL compiler project. This collaboration aims to bring SYCL into the LLVM world, encouraging more developers to embrace this technology. Secondly, Codeplay introduced the oneAPI Construction Kit, designed to assist hardware vendors in adopting multivendor multiarchitecture accelerated computing effectively.

Python, AI and HPC

One of the most eagerly awaited enhancements in the 2023.2 release is the faster Python support for AI and HPC applications. The accelerated NumPy functions, along with Numba compiler support, offer performance boosts for Python applications. Intel plans to expand on this feature even further in its upcoming 2024.0 release.

Additionally, AI inferencing becomes faster and more accurate with the support for "missing values" (NaN) during inference, streamlining pre-processing and improving prediction accuracy for models trained on incomplete data.

oneDNN library

The update also includes improvements to the oneDNN library, with optimisations and a new experimental Graph Compiler backend for the Graph API. These enhancements target specific processors with Intel AVX-512 and Intel AMX instructions, aiming to boost performance for AI-related tasks.

GPU support

Furthermore, Intel's Open Image Denoise now supports Intel, Nvidia, and AMD GPUs, providing more choices for developers working on AI-based image enhancement tasks across different hardware platforms.

This release also highlights impressive performance improvements for Intel GPUs, including ray-tracing support, showcasing the company's commitment to optimising tools and libraries for its hardware.

Performance enhancements

The 2023.2 release brings numerous performance enhancements, including faster SYCL compilation, improved math library performance, and standard C++ parallelism routines for the Intel Data Center GPU Max Series. Moreover, the SYCLomatic open source tool, designed to aid migration from CUDA to SYCL, has been improved with expanded support for CUDA APIs, FP64, and the latest version of CUDA.

The oneAPI Threading Building Blocks (oneTBB) algorithms and Flow Graph nodes now accept new types of user-provided callables, resulting in a more powerful and flexible programming environment through the use of std::invoke.

For Intel Fortran Compiler users, the extension of support for Do Concurrent Reduction brings a powerful feature that significantly improves the performance of code performing reductions while making parallel code writing more efficient and error-free by detecting uninitialised variables using the LLVM memory sanitiser.

The Intel Cryptography Primitives Library now supports the XTS mode of the SM4 algorithm, providing efficient and secure data encryption for storage devices.

Furthermore, the Intel Distribution for GDB has been rebased to GDB 13, adding support for Shared Local Memory (SLM) and staying current with the latest debugging enhancements.

Lastly, the release introduces "Velocity Bench for GPU Offload Performance Data," which aims to establish cross-platform benchmarks for GPU performance comparison. This effort aligns with the goal of oneAPI to make all hardware accessible to all applications, irrespective of whether they are open source or closed source.

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