{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"}],"enrichment":{"capability":"Provides optimized C and Data Parallel C++ (DPC++) interfaces to Intel's oneAPI Math Kernel Library for high-performance linear algebra and mathematical computing on Intel CPUs and GPUs.","skillfed_tags":["intel-hardware","high-performance-computing","c-cpp-bindings"],"use_cases":["Optimize matrix multiplication and linear algebra operations in C/C++ applications targeting Intel hardware","Accelerate scientific computing workloads on Intel GPUs using DPC++ data-parallel programming","Replace or supplement standard BLAS/LAPACK implementations with Intel's tuned routines for performance-critical code","Develop high-performance numerical simulations in physics, chemistry, or machine learning on Intel platforms"],"what_it_does":"Intel oneAPI Math Kernel Library (oneMKL) is Intel's production-grade library for mathematical computing, providing highly optimized routines for linear algebra, Fourier transforms, and related operations. This package exposes C and Data Parallel C++ (DPC++) language interfaces, allowing you to call these routines directly from C, C++, or any language with C bindings. It targets maximum performance on current and future Intel CPUs and GPUs.\n\nThe package is intended for developers and researchers who need to optimize compute-intensive mathematical workloads. It requires three runtime dependencies (dpcpp-cpp-rt, intel-opencl-rt, mkl) and manual configuration of the MKLROOT environment variable after installation. The library is actively maintained and carries a proprietary Intel license.","worth_installing":"Yes, if you are developing C or C++ applications that require high-performance mathematical routines on Intel hardware and are willing to manage the runtime dependencies and MKLROOT configuration. Not recommended for pure Python workflows (use NumPy/SciPy instead) or if you need cross-platform portability beyond Linux and Windows. Verify license compatibility with your project before committing."},"id":"onemkl-sycl-blas","links":{"html":"https://skillfed.io/packages/onemkl-sycl-blas","md":"https://skillfed.io/packages/onemkl-sycl-blas.md","pypi":"https://pypi.org/project/onemkl-sycl-blas/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-01","license_spdx":null,"license_treatment":"unclear","name":"onemkl-sycl-blas","python_support":"unspecified","summary":"Intel\u00ae oneAPI Math Kernel Library"},"popularity":{"monthly_downloads":171820,"position":10353,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.1.0"}