Intel OneAPI 2025.1.0 (Win x64 / Linux)

Toolkit Level Updates
- The Intel oneAPI DPC++/C++ Compiler, which already offers CPU MemorySanitizer support, now extends this capability to the device side, including GPUs. This enhancement allows you to easily detect and troubleshoot issues in both CPU and device code, ensuring more reliable applications.
- The Intel oneAPI DPC++/C++ Compiler now supports ccache* to significantly speed up your build times. By caching previous compilations and reusing them, developers can experience faster iterations and more efficient workflows, allowing you to focus on writing high-quality code rather than waiting for builds.
- The Intel oneAPI DPC++/C++ Compiler's code coverage tool now includes GPU support and enhanced CPU coverage for applications using C/C++, SYCL, and OpenMP. It offers you detailed analysis and comprehensive HTML reports to identify tested and untested code sections, ultimately improving test coverage and code quality while ensuring easy integration into workflows.
- The Intel oneAPI DPC++/C++ Compiler's integrated support for Altera FPGA has been removed as of the 2025.1 release. Altera* will continue to provide FPGA support through their dedicated FPGA software development tools. Existing customers can continue to use the Intel oneAPI DPC++/C++ Compiler 2025.0 release which supports FPGA development and is available through Linux* package managers such as APT, YUM/DNF, or Zypper. Additionally, customers with an active support license can access the Intel® oneAPI DPC++/C++ Compiler 2025.0 via their customer support account.
- For more information and assistance with transitioning to the Altera development tools, please contact your Altera representative.
- GPU kernels run up to 3x faster for algorithms including copy, transform, order-changing, generation and set operations with Intel oneAPI DPC++ Library (oneDPL), which also adds support for copy, transform and merge range-based C++20 standard algorithms
- Developers now have more random number distribution choices with the addition of geometric distributions to the already long list supported by the Intel oneAPI Math Kernel Library.
- Developers can experience faster workload execution via Fast Fourier Transform performance improvements for certain cases on Intel discrete and integrated GPUs.
- Intel oneAPI Threading Building Blocks (oneTBB) enables parallel processing of tensors in any dimensions, with the new blocked_nd_range feature to expand support from 3 to N dimensional
- Intel VTune Profiler
. Identify performance bottlenecks of AI workloads that are calling DirectML or WinML APIs.
. Understand the overall accelerator performance by seeing GPU and NPU offload bottlenecks in one view.
. Pinpoint the most time-consuming code sections and critical code paths for Python 3.12.
- Easily migrate CUDA code to SYCL with the Intel DPC++ Compatibility tool automatically migrating 158 more APIs used by popular AI and accelerated computing apps
- Gaming, graphics, and content creation developers and ISVs - deliver real-time visual AI and gaming experiences when using C++ with SYCL for GPU acceleration​
. Enhanced SYCL interoperability with Vulkan and DirectX12 enables the sharing of image texture map data directly from the GPU, eliminating extra image copying between CPU and GPU, ensuring seamless performance image processing and advanced rendering applications, and boosting content creation productivity
- The Intel Distribution for GDB* rebases to GDB* 15.2 staying current and aligned with the latest enhancements supporting effective application debug.
- The Intel Distribution for GDB* now includes scheduler-locking IDE options to step by default in VSCode* when debugging on a Linux* machine, providing more precise control and a enhanced debugging experience.
- Intel Distribution for GDB* adds support for Intel Core Ultra processors (Series 2) and Intel Arc B-Series Graphics on Linux*, in addition to the existing Windows support, allowing developers to efficiently debug application code on these new CPUs and GPUs.
- Boost your image processing applications with Intel Integrated Performance Primitives' in-place MulC function, now supports image sizes up to 512 Megapixels for high-performance, low-memory overhead image scaling
- Optimize your 5G signal processing with Intel Integrated Performance Primitives' enhanced Discrete Fourier Transform (DFT), specifically tuned for the critical demands of cellular systems
- Develop more secure and efficient applications using Intel Cryptography Primitives library SM4 and SHA-512 hash algorithms optimized for Intel Core Ultra 200V, Intel Core Ultra 200S and upcoming Intel Xeon Scalable processor
- Developers can enhance matrix multiplication and convolution performance with oneDNN, optimized for Intel Xeon processors. These improvements leverage the Intel AMX instruction set, making it ideal for datacenter AI workloads, ensuring your applications run efficiently on the latest Intel architectures.
- Developers running AI inference on client CPUs can unlock improved performance with oneDNN on Intel Arc Graphics. This optimization maximizes the capabilities of Core Ultra processors (Series 2) and Intel Arc B-series discrete graphics, ensuring your AI applications execute with greater speed and efficiency, enhancing your development efforts.
- Developers can optimize AI models with improved performance for Gated Multi Level Perceptron (Gated MLP) and Scaled Dot-Product Attention (SDPA) with implicit casual mask using oneDNN. Support for int8 or int4 compressed key and value through the Graph API enhances both speed and efficiency, enabling more powerful and responsive AI applications.
- Developers are able to utilize collectives in more operations with added support for Average in the Allreduce and Reduce-Scatter collectives in oneCCL.
- oneCCL gives developers more control over collective communications with extensions to the Group API supporting collective operations and a new API to split a communicator.
- Users are able to scale up more effectively with oneCCL performance optimizations for Alltoall.
Intel oneAPI DPC++ Compiler 2025.1.0
The Intel oneAPI DPC++/C++ Compiler 2025.1.0
- Added SYCL interoperability with Graphics APIs DirectX* 12 and Vulkan* interop so developers can create highly efficient visual compute, media processing, and rendering applications on Intel® Graphics, enhancing both performance and developer productivity.
- Extends Memory Sanitizer capability to the device side, including GPUs. This enhancement allows to easily detect and troubleshoot issues in both CPU and device code, ensuring more reliable applications.
- Supports ccache* to significantly speed up build times. By caching previous compilations and reusing them, developers can experience faster iterations and more efficient workflows, allowing you to focus on writing high-quality code rather than waiting for builds.
- The code coverage tool now includes GPU support and enhanced CPU coverage for applications using C/C++, SYCL, and OpenMP. It offers detailed analysis and comprehensive HTML reports to identify tested and untested code sections, ultimately improving test coverage and code quality while ensuring easy integration into workflows.
Intel oneAPI DPC++ Library 2022.8.0
The Intel oneAPI DPC++ Library 2022.8.0
- Improved performance of copy, transform, order-changing, generation, and set operation algorithms.
- Added range-based APIs for copy, transform, merge algorithms.
Intel DPC++ Compatibility Tool 2025.1.0
The Intel DPC++ Compatibility Tool 2025.1.0
- Improved API coverage by enabling migration for 158 APIs (82 cuBLAS/cuSPARSE APIs, 11 Runtime/Driver API, 6 PTX, 36 SIMD math APIs, 10 texture/surface API, 1 thrust API, 5 CUB API, 8 Graphic interop API).
- Further improved build scripts migration for CMake-based APPs and Python setup.py migration of PyTorch-based Apps.
- Supported PyTorch(C10 API specific for CUDA) migration by publishing customized migration rules.
- Further improved API mapping query with more APIs.
- Supported new telemetry lib to collect migration un-supported API and usage information of DPCT features.
Intel oneAPI Math Kernel Library 2025.1.0
Intel Distribution for GDB* 2025.1.0
- The Intel Distribution for GDB* rebases to GDB* 15.2 staying current and aligned with the latest enhancements supporting effective application debug.
- The Intel Distribution for GDB* now includes scheduler-locking IDE options to step by default in VSCode* when debugging on a Linux* machine, providing more precise control and a enhanced debugging experience.
- Intel Distribution for GDB* adds support for Intel Core™ Ultra processors (Series 2) and Intel Arc™ B-Series Graphics on Linux*, in addition to the existing Windows support, allowing developers to efficiently debug application code on these new CPUs and GPUs.
Intel VTune Profiler 2025.1.0
The Intel VTune Profiler 2025.1.0 added capabilities to
- Identify performance bottlenecks of AI workloads that are calling DirectML or WinML APIs.
- Understand the overall accelerator performance by seeing GPU and NPU offload bottlenecks in one view.
- Pinpoint the most time-consuming code sections and critical code paths for Python 3.12.
Intel Advisor 2025.1.0
The Intel Advisor 2025.1.0
- Enabled Intel XMX (systolic arrays) in GPU Roofline and GPU Instruction Mix
- Improved overall GPU profiling quality and accuracy. Reduced GPU Survey collection overhead
Intel oneAPI Threading Building Blocks 2022.1.0
The Intel oneAPI Threading Building Blocks (oneTBB) 2022.1.0
- Enables parallel processing of tensors in any dimensions, with the new blocked_nd_range feature to expand support from 3 to N dimensional
. Includes experimental support of Class Template Argument Deduction (CTAD) for oneTBB blocked_nd_range , to allow the compiler to auto infer class template arguments, simplifying code and improving usability
- Provides applications with multiple parallel processing phases with the ability to use oneTBB parallel_phase API to influence CPU threading resource sharing and minimize latency within phases
Intel Integrated Performance Primitives 2022.1.0
The Intel Integrated Performance Primitives 2022.1.0
- Added new inplace API for MulC functionality for images
- Optimized selected sizes of DFT for signal sizes important for 5G
Intel Cryptography Primitives Library 2025.1.0
The Intel Cryptography Primitives Library 2025.1.0 optimized SM4 and SHA-512 hash family algorithms for Lunar Lake, Arrow Lake S and Clearwater Forest CPUs (optimization is based on the new SM4 and SHA512 instructions respectively).
Intel oneAPI Collective Communications Library 2021.15.0
The Intel oneAPI Collective Communications Library 2021.15.0 added
- Support for Average in the Allreduce and Reduce-Scatter collectives.
- Extensions to the Group API supporting collective operations and a new API for splitting communicators giving developers more control over collective communications.
- Performance optimizations for scale up for Alltoall
Intel oneAPI Data Analytics Library 2025.1.0
The Intel oneAPI Data Analytics Library 2025.1.0 contains
- Updates to the unified API for oneDAL RNG primitive functions
- Changed stream handling in the RNG clone
- Fixed issues with the oneDAL code samples (building with C++20)
Intel oneAPI Deep Neural Networks Library 2025.1.0
Intel oneAPI Deep Neural Networks Library 2025.1.0 has
- Improved matmul and convolution primitive performance on Intel Xeon processors with Intel AMX instruction set support (formerly Sapphire Rapids and Granite Rapids)
- Improved performance for Intel Arc Graphics for Intel Core Ultra processors (Series 2) (formerly Lunar Lake) and Intel Arc B-series discrete graphics (formerly Battlemage).
- Introduced initial optimizations for Intel GPUs based on Xe3 architecture
- Improved performance of Gated Multi Level Perceptron (Gated MLP), Scaled Dot-Product Attention (SDPA) with implicit casual mask, and SDPA with int8 or int4 compressed key and value via Graph API.

Toolkit Level Updates
- Intel Inspector is no longer included in the Intel® HPC Toolkit. It is now downloadable as a standalone package and it will be discontinued in 2025 or later.
- Intel Trace Analyzer and Collector is no longer included in the Intel HPC Toolkit. It is now downloadable as a standalone package and it will be discontinued in 2025 or later.
Intel oneAPI DPC++/C++ Compiler 2024.1.0
- The Intel oneAPI DPC++/C++ Compiler is the industry's first compiler conformant with SYCL 2020 allowing developers to write code once and run it on a variety of different processors using standard C++ making developers more productive by reducing development time and effort.
- Enhanced SYCL Graph, allowing developers to use multi-threaded work generation and thread-safe functions seamlessly integrate with applications. SYCL ensures thread safety for all member functions, enhancing performance and reliability in parallel computing. SYCL Graph is now available on multiple SYCL backends, allowing developers to tune once and deploying anywhere. Additionally, our CUDA graph alternative offers and open, multi-platform solution, minimizing kernel dispatching overhead and ensuring adaptability across diverse software and hardware stacks.
- Intel oneAPI DPC++/C++ Compiler enhances OpenMP 5.0, 5.1, 5.2, and TR12 standards compliance.
Intel Fortran Compiler 2024.1.0
- Intel Fortran Compiler adds more Fortran 2023 language features - improving compatibility and interoperability between C and Fortran code in the intrinsic module ISO_C_BINDING; simplifying trigonometric calculations by allowing developers to use intrinsic functions that accept arguments as degrees, enhancing ease of use and code readability; use of predefined data types of specific sizes in intrinsic module ISO_FORTRAN_ENV improving code portability and ensuring consistent behavior, and more.
- Intel Fortran Compiler makes OpenMP Offload programming more productive by adding runtime checks ensuring that mapped data is currently allocated/associated.
- Increased compiler stability by fixing miscellaneous compilation, OpenMP* and runtime issues.
Intel Fortran Compiler Classic 2021.12.0
- The Intel Fortran Compiler Classic has been updated to include recent versions of 3rd party components, which include functional and security updates.
TheIntel oneAPI Base Toolkitis a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures. It features an industry-leading C++ compiler and the Data Parallel C++ (DPC++) language, an evolution of C++ for heterogeneous computing. Domain-specific libraries and the Intel Distribution for Python provide drop-in acceleration across relevant architectures. Enhanced profiling, design assistance, and debug tools complete the kit. High-performance computing (HPC) is at the core of artificial intelligence, machine learning, and deep learning applications. TheIntel oneAPI HPC Toolkitdelivers what developers need to build, analyze, optimize, and scale HPC applications with the latest techniques in vectorization, multithreading, multi-node parallelization, and memory optimization. Intel oneAPI HPC Toolkit is an add-on to the Intel oneAPI Base Toolkit, which is required for full functionality. It also includes access to the Intel Distribution for Python, the Intel oneAPI DPC++/C++ Compiler, powerful data-centric libraries, and advanced analysis tools.
Intel oneAPI Base Toolkit
What is the Intel oneAPI HPC Toolkit?
Intelis a world leader in computing innovation. The company designs and builds the essential technologies that serve as the foundation for the world's computing devices. As a leader in corporate responsibility and sustainability, Intel also manufactures the world's first commercially available "conflict-free" microprocessors.