Now Available: Intel oneAPI 2023.1 Tools

Delivering new performance and code-migration capabilities

The just-released IntelĀ® oneAPI 2023.1 tools augment the latest IntelĀ® architecture features with high-bandwidth memory analysis, photorealistic ray tracing and path guiding, and extended CUDA-to-SYCL code migration support. Additionally, they continue to support the latest update of Codeplayā€™s oneAPI plugins for NVIDIA and AMD that make it easier to write multiarchitecture SYCL code. (These free-to-download plugins deliver quality improvements, support Joint_matrix extension and CUDA 11.8/testing 12, and enable gfx1032 for AMD. The AMD plugin backend now works with ROCm 5.x driver.)

2023.1 Highlights:

Compilers & SYCL Support

  • IntelĀ® oneAPI DPC++/C++ Compiler delivers AI acceleration with BF16 full support, auto-CPU dispatch, and SYCL kernel properties, and adds more SYCL 2020 and OpenMP 5.0 and 5.1 features to improve productivity and boost CPU and GPU performance.
  • IntelĀ® oneAPI DPC++ Library (oneDPL) improves performance of the sort, scan, and reduce algorithms.
  • IntelĀ® DPC++ Compatibility Tool (based on the open source SYCLomatic project) delivers easier CUDA-to-SYCL code migration with support for the latest release of CUDAā€™s headers, and adds more equivalent SYCL language and oneAPI library mapping functions such as runtime, math, and neural network domains.

Performance Libraries

Analysis & Debug

  • IntelĀ® VTuneā„¢ Profiler displays Xe Link cross-card traffic issues such as CPU/GPU imbalances, stack-to-stack traffic, and throughput and bandwidth bottlenecks on IntelĀ® Data Center GPU Max Series.
  • IntelĀ® Distribution for GDB adds debug support for IntelĀ® Arcā„¢ GPUs on Windows and improves the debug performance on Linux for Intel discrete GPUs.

Rendering & Visual Computing

oneAPI tools drive ecosystem innovation

oneAPI tools adoption is ramping multiarchitecture programming on new accelerators, and the ecosystem is rapidly pioneering unique solutions using the open, standards-based, unified programming model. Here are the most recent:

  • Cross-platform: Purdue University launched a oneAPI Center of Excellence to advance AI and HPC teaching in the United States.
  • Cloud: University of Tennessee launched oneAPI Center-of-Excellence Research which enabled a cloud-based Rendering as a Service (RaaS) learning environment for students.
  • AI: Hugging Face accelerated PyTorch Transformers on 4th Gen Intel Xeon processors (explore part 1 and part 2), and HippoScreen increased AI performance by 2.4x to improve efficiency and build deep learning models.
  • Graphics & Ray Tracing: Thousands of artists, content creators, and 3D experts can easily access advanced ray tracing, denoising, and path guiding capabilities through Intel rendering libraries integrated in popular renderers including Blender, Chaos V-Ray, and DreamWorks open source MoonRay.

Learn More

Notices and Disclaimers

  • Codeplay is an Intel company.
  • Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Results may vary.
  • Performance results are based on testing as of dates shown in configurations and may not reflect all publicly available updates.
  • No product or component can be absolutely secure. Your costs and results may vary.
  • Intel technologies may require enabled hardware, software or service activation.
  • Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy

Here youā€™ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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