Intel oneAPI 2023 developer toolkits now available

The highlights: what’s new in the 2023 oneAPI and AI tools

Compilers & SYCL support

• The Intel oneAPI DPC++/C++ Compiler improves CPU and GPU offload performance and broadens SYCL language support for improved code portability and productivity.
• The Intel oneAPI DPC++ Library (oneDPL) expands support of the C++ standard library in SYCL kernels with additional heap and sorting algorithms and adds the ability to use OpenMP for thread-level parallelism.
• The Intel DPC++ Compatibility Tool (based on the open source SYCLomatic project) improves the migration of CUDA library APIs, including those for runtime and drivers, cuBLAS, and cuDNN.
• The Intel Fortran Compiler implements coarrays, eliminating the need for external APIs such as MPI or OpenMP, expands OpenMP 5.x offloading features, adds DO CONCURRENT GPU offload, and improves optimisations for source-level debugging.

Performance libraries

• The Intel oneAPI Math Kernel Library increases CUDA library function API compatibility coverage for BLAS and FFT; for Sapphire Rapids, leverages Intel XMX to optimize matrix multiply computations for TF32, FP16, BF16, and INT8 data types; and provides interfaces for SYCL and C/Fortran OpenMP offload programming.
• The Intel oneAPI Threading Building Blocks improve support and use of the latest C++ standard for parallel sort, offers an improved synchronization mechanism to reduce contention when multiple task arena calls are used concurrently, and add support for Microsoft Visual Studio 2022 and Windows Server 2022.
• The Intel oneAPI Video Processing Library supports the industry’s only hardware AV1 codec in the Intel Data Center GPU Flex Series and Intel Arc™ processors; expands OS support for RHEL9, CentOS, Stream 9, SLES15Sp4, and Rocky 9 Linux; and adds parallel encoding feature to sample multi transcode.

Analysis & Debug

• The Intel VTune Profiler enables the ability to identify MPI imbalance issues via its Application Performance Snapshot feature; delivers visibility into Xe Link cross-card traffic for utilisation, bandwidth consumption, and other issues; and adds support for 4th Gen Intel Xeon Scalable Processors (Sapphire Rapids), Max Series (Ponte Vecchio), and 13th Gen Intel Core processors.
• The Intel Advisor adds automated roofline analysis for Intel Data Center GPU MAX Series to identify and prioritize memory, cache, or compute bottlenecks and understand their causes and delivers actionable recommendations for optimising data-transfer reuse costs of CPU-to-GPU offloading.

AI and Analytics

• The Intel AI Analytics Toolkit can now be run natively on Windows with full parity to Linux except for distributed training (GPU support is coming in Q1 2023).
• The Intel oneAPI Deep Neural Network Library further supports the delivery of superior CNN performance by enabling advanced features in 4th Gen Intel Xeon Scalable Processors including Intel AMX, AVX-512, VNNI, and bfloat16.
• The Intel Distribution of Modin integrates with new heterogeneous data kernels (HDK) solution in the back end, enabling AI solution scale from low-compute resources to large- or distributed-computed resources.
• The Beta additions for Intel Distribution for Python include the compute-follows-data model extension to GPU, data exchange between libraries and frameworks, and data-parallel extensions for NumPy and Numba packages.

Rendering & Visual Computing

• The Intel oneAPI Rendering Toolkit includes the Intel Implicit SPMD Program Compiler runtime library for fast SIMD performance on CPUs.
• The Intel Open Volume Kernel Library increases memory-layout efficiency for VDB volumes and adds an AVX-512 8-wide CPU device mode for increased workload performance.
• The Intel OSPRay and Intel OSPRay Studio add features for multi-segment deformation motion blur for mesh geometry, primitive, and objects; face-varying attributes for mesh and subdivision geometry; new light capabilities such as photometric light types; and instance ID buffers to create segmentation images for AI training.

Learn more

• Compare Benefits of CPUs, GPUs, and FPGAs for oneAPI Workloads
• New to SYCL? Get started here >
• Bookmark the oneAPI Training Portal – Learn the way you want to with learning paths, tools, on-demand training, and opportunities to share and showcase your work.

Why should you use oneAPI?

With 48% of developers targeting heterogeneous systems that use more than one kind of processor*, more efficient multiarchitecture programming is required to address the increasing scope and scale of real-world workloads.

Using oneAPI’s open, unified programming model with Intel’s standards-based multiarchitecture tools provides freedom of choice in hardware, performance, productivity, and code portability for CPUs and accelerators. Code written for proprietary programming models, like CUDA, lacks portability to other hardware, creating a siloed development practice that locks organisations into a closed ecosystem.

Evans Data Global Development Survey Report 22.1, June 2022

Buy the Intel oneAPI 2023 Toolkits with Priority Support

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