Intel® oneAPI Math Kernel Library (oneMKL) Release Notes and System Requirements

Where to Find the Release

You can get the latest version of Intel® oneAPI Math Kernel Library (oneMKL) as part of the Intel® oneAPI Toolkit, or as a Stand-Alone download.

If you have Priority Support for Intel® oneAPI Toolkit or any other oneAPI toolkit (i.e. an unexpired free license or a paid license with active support at the time of the build date for this product release), you can download the installer by logging in to Intel® Registration Center and selecting the appropriate product. You may need to create an account and/or register your product. For additional information please see: Product Registration and Sign-Up FAQ

New in this Release

2026.0

Highlights

• Introduced performance optimization for MCG59 engine on Intel® Xeon® 6 processor with P-cores. 
• Intel® Compiler’s qmkl option behavior for oneMKL SYCL* APIs is aligned with the C/Fortran APIs to link with the LP64 interface. [Link to the Intel Compiler release notes. Reference: DOC-13667]. 
• Hardened all oneMKL binaries with Intel® CET and all C libraries with FORTIFY_SOURCE. 
• oneMKL SYCL and OpenMP* offload API support system shared USM pointer on Linux*. 

Improvements and Changes

• BLAS

  • Optimizations

    • Improved the performance of nrm2 on Intel GPUs. 
    • Performance and threading improvements for many level-2 BLAS functions.
    • Improved performance of iamax and iamin level-1 BLAS functions. 

• LAPACK 

  • Optimizations

    • Improved the performance of generalized eigensolver routines {s,d}ggev for both single-threaded and multi-threaded use cases. 
    • Improved the performance of QR factorization routines, geqrf and geqrf_batch (strided), for Intel® Arc™ A-Series Graphics and Intel® Data Center GPU Flex Series. 
    • Improved the performance of getrf_batch (group) for small and large group counts on Intel® Data Center GPU Max Series. 

• DFT

  • Features 

    • Enabled support for non-default slab and custom distribution for the SYCL distributed DFT APIs on Intel® GPUs.

  • Optimizations

    • Improved the performance of power-of-two 1D complex FFT with medium size on Intel® Core™ Ultra Processors (Series 3). 
    • Improved the performance of complex and real large-sized FFT on Intel® Arc™ B-series Graphics, Graphics for Intel® Core™ Ultra Processors (Series 2 and Series 3).

• Vector Math

  • Features 

    • Intel® Advanced Vector Extensions 10.2 (Intel® AVX10.2) implementations were added with corresponding architecture dispatch sequence. 

• Vector Statistics

  • Optimizations

    • Improved performance for MCG59 engine on Intel® CPUs with Intel® AVX512 ISA available. 

• Sparse Solvers 

  • Features 

    • Extended Eigensolvers: Introduced an option for computing the total number of eigenvalues within an interval. If fpm[49] for C/C++ programs or fpm(50) for Fortran programs is set to 1, Extended Eigensolver routines for CSR format compute the total number of eigenvalues. 

  • Optimizations

    • oneMKL Pardiso has significantly improved scalability on multi-core systems.
    • The performance of oneMKL Pardiso is improved in Conditional Numerical Reproducibility (CNR) mode. 

• Library Engineering

  • Optimizations

    • Introduced new AVX10.2/APX optimizations as preview code-path. Use the environment variable MKL_ENABLE_INSTRUCTIONS=AVX10 or the related API to enable it.

Fixed Issues

• Fixed the issue that File Patch Version always shows “1” on Windows*. 

• Re-enabled some Lapack _64_ Fortran symbols that were missing in the interface libraries since oneMKL 2025.2. 

• Various stability improvements in oneMKL Pardiso and ScaLAPACK. 

• Fixed floating-point exception raised by DftiCommitDescriptor on Intel® AVX512 ISA. 

Known Issues and Limitations

2026.0

• oneMKL DFT SYCL APIs using SYCL buffer for data input do not support SYCL sub-buffer inputs for large power-of-two sizes [2²¹,2²⁶] 1D complex FFT. 

• oneMKL FFT with a large prime factor (greater than 1024) may fail on Intel® Data Center GPU Max Series. 

• oneMKL DFT SYCL APIs don’t support negative strides and distances.  

• oneMKL LAPACK direct call routines on Windows* with TBB threading may crash. OpenMP* threading is recommended. 

• oneMKL PARDISO pivoting phase may fail sporadically on AMD processors in rare cases. 

• oneMKL FEAST extended eigensolver may fail on AMD processors on Windows with TBB threading. OpenMP* threading is recommended. 

• oneMKL Sparse BLAS use of sycl::buffer version of sparse::update_diagonal_values() on the Linux* operating system may sporadically cause unexpected crashes on Intel® Iris® Xe Max Graphics, Intel® Arc™ Graphics and Graphics on Intel® Core™ Ultra Processors (Series 2). 

• oneMKL Sparse BLAS use of the sycl::buffer version of sparse::matmat() API on Windows* may sporadically produce incorrect results on Graphics on Intel® Core™ Ultra Processors (Series 3). 

• Selected oneMKL SYCL functionality requires OpenCL* runtime when using the Level Zero SYCL backend on Intel® GPUs. 

• oneMKL SYCL DLL could leak memory after unloading on Windows*. The problem can be avoided by adding mkl_free_buffer() before unloading the DLL. 

• Data fitting cubic splines interpolation SYCL API may produce incorrect results on Intel GPUs. 

• 3rd Central Sum and Central Moment output of Summary Statistics SYCL and OpenMP* offload routines may produce incorrect results on Intel® Arc™-A Series and Graphics on Intel® Core™ Ultra Processors (Series 2). 

System Requirements

Supported Architectures and Terminology - Intel® 64 Architecture refers to systems based on IA-32 architecture processors which have 64-bit architectural extensions (like Intel® Core™ architecture processors, running a 64-bit operating system such as Microsoft Windows* 10 x64 or a Linux* "x86_64" variant).

Note: Update releases (e.g., 2026.1) automatically inherit all OS requirements from the base major release (2026.0).Only operating systems marked with (+) are newly added in that update release, and those marked with (–) are removed. Asterisks(**) indicates Deprecations. All others remain unchanged and are not duplicated in the table.

Hardware Requirements

Supported Operating Systems

NOTE: For users using the Intel® oneAPI DPC++ Compiler, please refer to the Intel® oneAPI DPC++ Compiler system requirements here.

Software Requirements

Support Deprecated

• Support for Windows* 10, Windows* Server 2019, RHEL* 8, Fedora* 43, Debian* 11 & 12, Amazon* Linux 2023 on CPU/Target has been deprecated.
• Support for SLES 15 SP4 on GPU has been deprecated.

Support Removed 

• Support for SLES* 15 SP5, Fedora* 42, Rocky Linux 9 on CPU/Target has been removed.
• Support for Windows* Server 2019, RHEL* 8.10 & 9.5, Ubuntu* 25.04 on GPU has been removed.

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